Remote Machine Learning Jobs

We re AND-E one of the fastest-growing insurance companies leading the way in connected mobility protection. And we need you to help drive our next phase of growth. We re looking for dynamic, driven professionals like you to help evolve our business in new directions. You ll need first-class leadership credentials to bring our people with you on this journey and take us to the next level. You ll be a Lead Machine Learning Engineer. The role will combine technical leadership, delivery leadership and line management responsibility for ML engineers within Aioi R&D Lab. It will help shape ML engineering best practice, support solution design, mentor junior engineers, and lead multidisciplinary teams across delivery engagements. In addition to this leadership responsibility, the role will make a meaningful hands-on contribution to technical delivery, acting as a part-time individual contributor on selected projects while providing oversight, coordination and quality assurance across multiple initiatives in parallel. The role will also lead use case discovery, support pre-sales opportunities in collaboration with the commercial team, oversee the ongoing maintenance and improvement of deployed solutions, promote reuse of shared frameworks, and ensure technical decisions, risks and concerns are communicated clearly to non-technical stakeholders. We are happy to consider candidates who prefer hybrid or remote ways of working. If you d like to be part of our brighter future, and share in our success, we d love to hear from you. BE THE NEXT BIG THING, NOW. Responsibilities - Line manage and develop ML engineers, providing coaching, mentoring, feedback and performance support; contributing to hiring, onboarding and capability development within the ML engineering function. - Maintain a meaningful individual contribution to technical delivery on selected projects, alongside leadership responsibility across multiple engagements. - Collaborate with the Lead ML Scientist and Principal Engineer to establish and embed best practice in ML engineering across the Lab. - Lead multidisciplinary teams of ML engineers A1.1 A1.2 , ML scientists and software engineers, ensuring effective delivery practices, team communication and continuous improvement. - Mentor and develop junior ML engineers, including supporting their technical training and the ongoing development of ML engineering capability across the Lab. - Support solution design and provide technical leadership to ensure ML systems are robust, scalable and maintainable. - Provide oversight, coordination and quality assurance across multiple concurrent projects, identifying and managing technical and delivery risks across engagements, escalating where appropriate. - Contribute hands-on to delivery where required, particularly on complex or high-priority engagements. - Lead use case discovery and help shape AI and ML opportunities with relevant stakeholders. - Support pre-sales activity in collaboration with the commercial team, including technical scoping and solution shaping. - Partner with the Project Management function to scope, plan and support delivery engagements. - Oversee the maintenance and continuous improvement of deployed solutions. - Drive reuse of shared frameworks, standards and tooling across projects. - Communicate technical decisions, risks and concerns clearly to non-technical audiences. Knowledge, Experience and Qualifications Essential - PhD or MSc in Computer Science, Mathematics, Statistics, Engineering, Physics or another relevant STEM discipline, or equivalent practical experience. - Extensive years of experience in machine learning engineering, software engineering, or a related technical role, including experience delivering production-grade ML systems and leading technical work across teams or projects. - Strong software engineering background, with experience building and delivering machine learning or data-driven systems in production or near-production environments. - Experience leading or managing machine learning engineers or other technical contributors in a delivery-focused setting. - Experience supporting pre-sales, technical discovery or opportunity shaping in collaboration with commercial or business development teams. - Ability to provide technical leadership across solution design, engineering quality, deployment approaches and ongoing maintenance of ML-enabled systems. - Experience working across the lifecycle of AI or ML solutions, from use case discovery and scoping through to delivery, deployment and continuous improvement. - Strong understanding of engineering best practice, including code quality, testing, documentation, maintainability and reuse. - Experience working collaboratively in multidisciplinary teams, including ML engineers, ML scientists, software engineers, project managers and non-technical stakeholders. - Experience with cloud platforms, CI/CD, containerisation, model deployment and operational support for production systems. - Ability to communicate technical decisions, risks and trade-offs clearly to both technical and non-technical audiences. - Strong problem-solving, prioritisation and judgement in ambiguous, fast-moving environments. - Experience contributing hands-on to technical delivery while also leading multiple projects or workstreams in parallel. Desirable - Experience establishing or embedding best practice in ML engineering, software delivery or MLOps within a team or function. - Experience in regulated, enterprise or operationally complex environments. - Experience promoting reuse through shared frameworks, tooling, templates or engineering standards. - Experience supporting maintenance, supportability and continuous improvement of deployed AI or ML solutions. Why Join Us? We're committed to your growth, providing the support to excel in your current role whilst offering opportunities to step into new challenges and drive your career forward. We realise that we need to be a good fit for you above all else so here s what you can enjoy about AND-E: Recognised as the Best Large Insurance Employer: We are proud to have been named the Best Large Insurance Employer for 2023 at the prestigious British Insurance Awards. Unmatched Work-Life Balance. Competitive Salaries and Benefits Package: We offer competitive salaries that recognise your skills and expertise. We champion choice, flexibility, and balance in both work and home life. Our commitment to diversity, equity, and inclusion ensures everyone feels valued and supported including embracing neurodiversity and providing the tools needed to thrive. We like to think our benefits package is one of the best, focusing on colleagues health, wealth, and lifestyle. We offer: 28 Days annual leave with the option to buy/sell up to 5 days holiday Private Medical & Permanent Health Insurance 4 x Annual salary Life Assurance Health and Wellbeing Benefits: Including money back on health-related expenses (optician, dental, physio, etc.), Flu Jab vouchers, Virtual GP service, Employee Assistance Programme, and enhanced family-friendly policies (baby bonus & pension advisory service) Financial and Lifestyle Support: Offers financial flexibility through Wagestream , annual season ticket loans , cycle scheme , and £250 towards driving lessons for you and dependents . Subject to company performance and completion of probation Aioi Nissay Dowa Europe is committed to promoting equal opportunities in employment. Employees and job applicants will receive equal treatment regardless of age, disability, gender reassignment, marital or civil partner status, pregnancy or maternity, race, colour, nationality, ethnic or national origin, religion or belief, sex or sexual orientation (Protected Characteristics) At AND-E, equal opportunity is more than a policy it s a promise. We welcome applications from all individuals regardless of age, disability, gender identity, marital status, pregnancy, race, religion, sexual orientation, or any other protected characteristic. Reasonable adjustments: If you require any adjustments to support you during our recruitment process, please let us know. We re committed to making the process accessible and are happy to help.

Staff Machine Learning Engineer Remote Salary 100,000- 200,000 (flexible) Hexwired Recruitment has partnered with an exciting AI software company developing advanced machine learning products that solve complex, real-world problems. They're looking for a Technical Lead to bridge research and engineering, taking cutting-edge models from experimentation into robust production systems. The Role This is a senior hands-on leadership position where you'll own the execution of the company's machine learning platform, working closely with research, software engineering and product teams to build scalable, production-grade AI solutions. Responsibilities - Own the end-to-end machine learning lifecycle, including data pipelines, model training, evaluation, inference and deployment. - Fine-tune and optimise large language models using modern techniques such as LoRA, QLoRA, supervised fine-tuning, preference optimisation and model distillation. - Design scalable inference infrastructure with a focus on latency, reliability and operational efficiency. - Build and maintain high-quality data pipelines for both synthetic and real-world datasets. - Develop robust evaluation frameworks covering model quality, robustness, safety and performance. - Optimise GPU utilisation, memory usage and inference performance for production deployments. - Work closely with software engineers to integrate ML capabilities into backend services and customer-facing products. - Lead technical delivery, mentor engineers and help shape engineering best practices. - Balance research ambitions with practical engineering trade-offs to deliver value quickly. Technology - Python - PyTorch and/or JAX - Large-scale GPU training and inference infrastructure - Modern ML deployment pipelines Ideal Experience - Proven experience delivering machine learning systems into production. - Strong understanding of modern foundation models and large language models. - Experience building scalable training and inference infrastructure. - Excellent software engineering skills with a focus on maintainable, production-quality code. - Comfortable leading technical delivery while remaining hands-on. - Strong communication skills and the ability to collaborate across research, engineering and product teams. If you are an experienced Staff Machine Learning Engineer looking for a new remote opportunity paying a market-leading salary up to 200,000. Apply today by contacting Hexwired Recruitment. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.

Senior Machine Learning Engineer Remote Salary 90,000- 160,000 (flexable) Hexwired Recruitment has partnered with an innovative AI technology company developing next-generation machine learning systems for real-world applications. They're looking for an experienced Machine Learning Engineer to join a small, highly technical team building production-grade AI solutions from the ground up. The Role This is a hands-on engineering position where you'll take ownership of key machine learning components throughout their entire lifecycle. You'll be responsible for designing, developing and deploying scalable ML systems that solve complex real-world problems. Your responsibilities will include: - Designing and implementing production-ready machine learning systems. - Owning the full ML lifecycle, from data preparation and model training through to deployment and optimisation. - Translating research concepts into robust, scalable production solutions. - Monitoring, debugging and improving models using production data and user feedback. - Working closely with software engineers, researchers and product teams to deliver impactful features. - Mentoring other engineers through technical leadership, code reviews and best practices. - Building systems that balance performance, latency, reliability and scalability. Technology - Python - PyTorch and/or JAX - GPU-based model training and inference - Modern machine learning infrastructure What We're Looking For - Commercial experience building and deploying machine learning models into production. - Strong understanding of modern ML architectures and production challenges. - Excellent software engineering skills with a focus on maintainable, production-quality code. - Ability to work independently and take ownership of technical delivery. - Strong problem-solving skills and a pragmatic approach to engineering. - Excellent communication skills and a collaborative mindset. Apply today by contacting Hexwired Recruitment. If you are an experienced Senior Machine Learning Engineer looking for a new remote opportunity paying a market-leading salary up to 160,000. Apply today by contacting Hexwired Recruitment. For more information on this role, or any other jobs across; Embedded, C++ programming, Embedded Linux, Golang Development, FPGA, Python, Javascript, C#, Electronics, Secure Boot, Power Electronics, Digital Design, Machine Learning, Data Science or Simulation contact us today.

Senior AI Adoption & Capability Consultant Global Financial Services Institution AI Transformation Microsoft Copilot Enablement Contract: Daily rate contract Rate: Competitive Market Rate Location: Remote (1 day per week on-site in Central London) Senior AI Adoption & Capability Consultant (Contract) We are partnering with a leading global financial services institution specialising in card payment technologies to appoint a Senior AI Adoption & Capability Consultant on a daily rate contract basis. This is an exciting opportunity for an experienced AI adoption, workforce transformation, organisational change, or capability professional to help shape and accelerate responsible AI adoption across a global organisation. The role will focus on building the capability, confidence, and behaviours colleagues need to successfully adopt AI-enabled ways of working. Working across People, Technology, Product, Engineering, and business teams, you will help translate AI strategy into practical adoption approaches, learning experiences, and measurable business outcomes. You will combine strategic consulting with hands-on delivery - assessing capability needs, designing enablement solutions, supporting Microsoft Copilot adoption, and helping teams apply AI effectively in their day-to-day work. Key Responsibilities Partner with senior stakeholders to assess AI readiness, capability gaps, and priority adoption opportunities. Develop AI capability strategies, learning pathways, and enablement solutions for different audiences. Design practical resources including toolkits, use cases, guides, workshops, and adoption campaigns. Support Microsoft Copilot and approved AI tool adoption through real-world application and business engagement. Drive behaviour change through communities of practice, champion networks, communications, and ongoing enablement. Define success measures to track confidence, adoption, utilisation, and business impact. Stay current with emerging AI trends and evolving workforce requirements. About You You will bring experience in: AI adoption, Generative AI enablement, digital transformation, or workforce capability development. Organisational change, learning strategy, or enterprise transformation programmes. Designing and delivering capability initiatives at scale. Consulting with and influencing senior stakeholders across highly complex organisations. Turning complex technology concepts into practical, engaging experiences. Experience supporting Microsoft Copilot adoption, responsible AI initiatives, or enterprise AI/Digital transformation programmes are of particular interest. This is a unique opportunity to play a key role in shaping how a global financial services organisation builds AI capability, confidence, and new ways of working. For more information or immediate consideration for this opportunity, please contact Charlie Grant at CPS Group UK on (phone number removed) or email (url removed) By applying to this advert you are giving CPS Group (UK) Ltd authority to hold and process your data for this specific role and any other roles we may deem suitable to you over time. We will not pass your data to any third party without your verbal or written permission to do so. All incoming and outgoing calls are recorded for training and compliance purposes. CPS Group (UK) Ltd is acting as an Employment Agency in relation to this vacancy. Our new privacy policy can be found here (url removed)

Learning and Development Coordinator (Hybrid / Remote) needed, £28,077 per annum - Reference: We are looking for a candidate to support the delivery of effective learning, providing support and assistance to colleagues on a daily basis. You will ideallyhave strong organisation and admin skills and have an understanding of learning and development and the employee lifecycle click apply for full job details

Machine Learning Engineer - Spiking Neural Networks Salary: 75,000 to 100,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time MFK Recruitment is seeking a specialist Machine Learning Engineer to help develop an engineering-grade Spiking Neural Network engine for practical machine vision applications. Our client develops advanced AI and Machine Learning technology for defence, security and other demanding operational environments. Its work combines computer vision, perception and neuroscience-inspired technology to produce accurate and robust AI systems. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still with the business. Machine Learning Engineer role You will combine current knowledge of Spiking Neural Networks with strong C++ software development skills to transform advanced research into a practical and usable product. This is a rare opportunity to apply genuine SNN experience to production software with direct operational applications. You will work alongside Researchers, Data Scientists and Engineers on SNNs, machine vision, synthetic training data and related CNN or Transformer-based projects. The position is predominantly office and customer-site based in West London, although some remote working will be available. Machine Learning Engineer responsibilities - Apply your knowledge of SNNs to the development of a novel machine vision engine. - Develop high-quality C++ software based on research outputs and product requirements. - Use machine vision and image-analysis techniques to solve complex engineering challenges. - Contribute to projects using CNNs and Transformer networks. - Integrate recent Machine Learning algorithms into production software. - Support synthetic training-image generation and the curation of real-world ISR imagery. - Work closely with Researchers to understand and implement technical solutions. - Contribute to system design, version control, testing and CI/CD pipelines. - Support colleagues and customers during technical discussions and project delivery. Essential experience - Current hands-on experience developing Spiking Neural Networks. - Strong C++ programming and software engineering skills. - Knowledge of machine vision, image analysis or computer vision. - The ability to understand research outputs and transform them into reliable software. - Experience developing maintainable code using version control, testing and CI/CD. - Strong analytical, problem-solving and communication skills. Desirable experience - CUDA and GPU programming. - Python and PyTorch. - CNNs, Transformers or broader deep learning architectures. - Synthetic training imagery and simulation environments. - ISR imagery or defence-related machine vision. - Commercial software development alongside academic or research experience. - An MSc, PhD or postdoctoral background involving SNNs, Computer Vision, AI or Machine Learning. Security clearance Candidates must be eligible to obtain UK BPSS and Security Check clearance. Existing security clearance would be highly advantageous. Applicants for SC clearance are normally expected to have lived in the UK for the previous five years. Applicants with a shorter UK residency history may still be considered, subject to the sponsoring authority being able to complete the required checks.

Senior Computer Vision Engineer - Deep Learning Salary: 70,000 to 95,000 Location: West London Working arrangement: Predominantly office and customer-site based, with some remote working available Employment: Permanent, full-time. Contract opportunities may also be considered. MFK Recruitment is recruiting a Senior Computer Vision Engineer for an innovative UK technology company working at the forefront of computer vision, perception and autonomy. The company develops advanced Artificial Intelligence and Machine Learning technology for defence, security and other demanding real-world environments. Its work combines machine vision, deep learning and neuroscience-inspired approaches to create AI systems that are accurate, robust and reliable. MFK Recruitment has successfully recruited four Engineers to this company over the past five years, and all four are still with the business. This speaks volumes about the culture, technical challenges and long-term opportunities available. Senior Computer Vision Engineer role You will design, develop and deploy production-grade computer vision systems using modern deep learning techniques, with a particular focus on Convolutional Neural Networks and Vision Transformers. This is a hands-on engineering role for someone comfortable working across research, software development and real-world deployment. You will help translate recent AI research into reliable products used within demanding defence and security environments. The position is predominantly office and customer-site based in West London, although some remote working will be available. Senior Computer Vision Engineer responsibilities - Design, develop and optimise computer vision models using CNNs, Vision Transformers and related deep learning architectures. - Develop customised neural networks, training strategies, loss functions and evaluation metrics. - Implement and adapt techniques from recent AI and computer vision research. - Build scalable training, validation, evaluation and inference pipelines. - Optimise models for accuracy, robustness, latency and deployment across cloud and edge platforms. - Translate research outputs into maintainable, production-quality software. - Collaborate with Software Engineers, Researchers, Technical Leaders and customers. - Contribute to architecture decisions, testing and CI/CD practices. - Support the deployment of computer vision systems into customer environments. Essential experience - Strong commercial experience developing deep learning solutions for computer vision. - Excellent Python development skills. - Commercial experience using PyTorch. TensorFlow experience will also be considered. - Strong knowledge of CNNs and modern computer vision techniques. - Experience designing, modifying or adapting neural network architectures. - Experience with model training, validation, hyperparameter optimisation and performance evaluation. - Experience implementing techniques from recent AI or computer vision research. - Experience delivering reliable AI systems into production. - Strong software engineering practices, including Git, testing, code reviews and CI/CD. - Excellent analytical, problem-solving and communication skills. Desirable experience - Vision Transformer architectures. - Object detection, tracking, segmentation or pose estimation. - Multi-object localisation or multi-modal perception systems. - GPU optimisation, CUDA, inference acceleration or edge AI. - Real-time computer vision systems. - Docker, Kubernetes, Kubeflow or MLOps pipelines. - Aerial, satellite or ISR imagery. - Synthetic data generation, Unreal Engine or NVIDIA Omniverse. - Distributed training and large-scale model optimisation. - Defence, government or national security projects. - An MSc or PhD in Computer Vision, Artificial Intelligence, Machine Learning, Robotics or a related subject. Security clearance Candidates must be eligible to obtain UK BPSS and Security Check clearance. Existing clearance is advantageous but is not required for every appointment. Applicants for SC clearance are normally expected to have lived in the UK for the previous five years. A shorter period of UK residency or time spent overseas will not necessarily prevent clearance, but eligibility will be assessed individually by the sponsoring authority.

Machine Learning Engineer £700-750/day outside IR35 Remote working - once a month in Bristol 3-month initial contract MUST have experience of ML in Snowflake. Looking for a Machine Learning Engineer to lead a migration of ML capabilities from existing AWS Sagemaker to Snowflake ML - will need to proof out can existing ML models work in Snowflake click apply for full job details

AI Agent Engineer / Machine Learning Engineer SC Cleared Remote 465/day Inside IR35 Initial 3-Month Contract We're working with a leading software company specialising in Enterprise AI and digital transformation. Their AI platform enables organisations to securely connect, discover and utilise enterprise data to power AI-driven search, intelligent automation and regulatory compliance. They are looking for an SC Cleared AI Agent and Machine Learning Engineer to join their team from August, supporting the delivery of an exciting Central Government programme helping to develop intelligent AI agents and machine learning capabilities that solve real-world business challenges. Contract Details: - Duration: Initial 3-month contract (likely extension) - Location: Fully Remote (UK) - Rate: 465 per day - IR35: Inside IR35 - Clearance: Active SC Clearance is essential You'll be responsible for: - Designing and developing AI agents using modern LLM frameworks - Building Retrieval-Augmented Generation (RAG) solutions using enterprise knowledge sources - Developing and deploying Machine Learning models for intelligent decision-making - Integrating AI services with enterprise APIs and data platforms - Engineering prompts, tool calling and agent workflows - Working with structured and unstructured data to improve AI performance - Collaborating with software engineers, data scientists and architects to deliver secure AI solutions - Ensuring solutions meet security, governance and compliance requirements expected within government environment Requirements - Active SC Clearance (mandatory) - Experience in AI Agent Engineering or Machine Learning Engineering. - Available to start in August - Strong communication skills and experience working within Agile delivery teams If you're an AI Engineer, Machine Learning Engineer, Generative AI Engineer, LLM Engineer or Software Engineer with hands-on experience building production AI solutions, I'd be keen to speak with you. Please apply with your latest CV or get in touch for a confidential discussion.

At PDR.cloud , we are digitalizing the workshop of the future. Since 2018, we have been developing a cloud-based SaaS platform from Berlin that helps automotive repair shops manage complex damage processes more easily, faster, and fully digitally. As a Senior Machine Learning Engineer at PDR.cloud, you will take ownership of the entire ML lifecycle - from exploratory data analysis and model development to production pipelines and ongoing evaluation. You work hands-on, are the first ML hire on the team, and shape what data-driven intelligence looks like at PDR.cloud. Greenfield, real creative freedom, and bold pilot customers included. Activities - PDR.cloud is a Berlin-based SaaS company enabling fully digital workshops for automotive repair shops - with modern IT architecture and smart solutions for complex damage processes - As a Senior Machine Learning Engineer at PDR.cloud, you will own the complete ML lifecycle: exploratory analysis, data modeling, feature engineering, model development, and production pipelines - You work hands-on across everything that comes with it - including data acquisition, schema design, data preparation, and the tools we use to evaluate our data - You collaborate closely with Product and Engineering using a rapid prototyping approach: validating hypotheses, iterating on models, extracting insights from data, and turning them into real product decisions - The role at PDR.cloud offers maximum creative freedom: you shape architecture, tooling, and data culture - Beyond the prototyping phase, exciting long-term challenges await: you will calibrate our models for a growing, heterogeneous customer base and continuously improve model quality Requirements Must-have - Several years of experience as a Machine Learning Engineer, Data Engineer, or Applied Data Scientist with a clear engineering focus - you design pipelines yourself and solve data problems independently - Strong Python and SQL skills, plus confident use of a cloud platform (AWS, GCP, or Azure) - A solid statistical foundation beyond sklearn defaults: you know classical and probabilistic model families and understand when to apply which approach - Experience with production model deployment and MLOps fundamentals - you don't need a ready-made ML platform, but build new model pipelines from scratch together with our ops professionals at PDR.cloud - A pragmatic, hands-on mindset: you enjoy working in rapid prototyping mode, deliver MVPs instead of over-engineered architecture, and handle incomplete data and shifting requirements with confidence Nice-to-have - Experience with event or sequence data (logs, tracking events, transaction data) and irregular timestamps - Knowledge of probabilistic modeling or process mining - Experience building data and ML infrastructure in a greenfield setup - Background in SaaS, automotive, or insurance environments - Experience in agile product teams and direct collaboration with pilot customers Team You will be part of a dedicated, interdisciplinary development team of experienced fullstack developers, UX designers, and product managers. At PDR.cloud, open communication, mutual support, and a constructive feedback culture are what matter - you will feel that from day one. You will work primarily remote, but regularly join your team for workshops or team-building events in Berlin - for shared ideas and genuine connection beyond the screen. Flat hierarchies and short decision-making paths give you the freedom you need to work creatively, efficiently, and independently, while continuing to grow personally. Application Process Our application process is transparent, streamlined, and personal: - Initial introduction (remote) - A brief conversation to get to know you and your motivation. - Technical interview - A technical discussion with our developers, potentially including a code review or a small practical task. - Team interview - An exchange with your future colleagues to ask questions and get a feel for our working environment. - Final conversation & offer - A joint alignment on the terms and your earliest possible start date. We value prompt feedback and will support you throughout the entire process in an open and appreciative way.