Machine Learning Jobs in London

Assessment & Learning Design ManagerRole Purpose The Assessment & Learning Design Manager will lead the design, quality assurance and effectiveness of integrated learning and assessment products for Schools, Higher Education and Workplace audiences. The role holder will design, develop, maintain and continuously improve assessment and learning content to achieve desired pedagogical outcomes, meet regulatory and quality standards, and deliver value to customers. The role will also develop, maintain and share expertise on the pedagogical design and effectiveness of learning and assessment products with internal and external stakeholders. Role Overview This role sits within a team responsible for the design, development and performance management of digital and non-digital learning and assessment products. The team ensures the right product mix, quality standards and innovation to support strategic growth objectives. Products must be commercially viable, scalable and aligned with technology, delivery and customer needs. Key ResponsibilitiesLearning & Assessment Content Design - Collaborate with Research, Product, Proposition, Portfolio and Content teams to design and develop curricula and assessments aligned to global and national standards and best practice. - Ensure learning and assessment products are valid, reliable and capable of generating meaningful and actionable learner outcomes. - Implement quality assurance frameworks and assessment item development standards to maintain accuracy, relevance and effectiveness. - Design and implement policies and processes relating to accommodations and accessibility requirements where appropriate. - Ensure compliance with relevant regulatory requirements, accessibility standards, EDI principles, safeguarding requirements and AI policies. - Contribute expertise to initiatives involving automation and AI tools for content generation, calibration, archiving and reuse. - Develop project guidelines, style guides, specifications and scoring frameworks for internal teams and external suppliers. - Create comprehensive documentation to support handover of content designs into production. Stakeholder Management - Work closely with Marketing, Product, Proposition, Research, Content Creation and Content Management teams to ensure alignment with customer, market and business needs. - Gather and incorporate feedback from learners, educators, consultants and stakeholders to improve learning and assessment experiences. - Commission or support research into best practice in learning design, assessment design and psychometrics to ensure products remain innovative and effective. Project Management - Plan and prioritise work effectively to ensure successful delivery of projects and programmes. - Balance quality, compliance, budget and timelines throughout project delivery. - Manage resources efficiently within agreed financial parameters. - Support monitoring and evaluation activities to maintain compliance and quality standards. - Resolve issues relating to assessment development, content quality, compliance requirements and third-party suppliers. Data Analysis & Problem Solving - Validate learning and assessment solutions through piloting, pre-testing, user testing and sampling activities. - Design assessment and learning approaches that minimise bias through robust data collection and analysis methodologies. - Use performance data and analytics to evaluate product effectiveness and recommend improvements. Required Skills & ExperienceEssential - Extensive Experience in English Language Teaching (ELT) learning design and/or English language assessment development. - Experience designing learning products, assessments or qualifications for English language learners. - Experience in product development and/or product management, including digital and online learning products. - Experience using data, analytics and assessment results to improve learning and assessment outcomes. - Experience managing test piloting, seeding and pre-testing activities. - Experience working within a global or international organisation. - Strong stakeholder management and communication skills. Desirable - Understanding of accessibility and EDI requirements in learning and assessment. - Experience using Agile methodologies. - Expertise in specialist areas such as AI in education, employability, higher education or workplace learning. - Familiarity with regulatory frameworks relevant to educational assessment (e.g. Ofqual). EducationEssential - Higher qualification in English Language Teaching, Assessment, Applied Linguistics or a related field. - Examples include: - Master's degree - PhD - DELTA - DipTESOL - Equivalent advanced professional qualification Job Title: Assessment & Learning Design Manager Location: Stratford, UK Job Type: Permanent Trading as Aston Carter. Allegis Group Limited, Maxis 2, Western Road, Bracknell, RG12 1RT, United Kingdom. No. (phone number removed). Allegis Group Limited operates as an Employment Business and Employment Agency as set out in the Conduct of Employment Agencies and Employment Businesses Regulations 2003. Aston Carter is a company within the Allegis Group network of companies (collectively referred to as "Allegis Group"). Aerotek, Aston Carter, EASi, Talentis Solutions, TEKsystems, Stamford Consultants and The Stamford Group are Allegis Group brands. If you apply, your personal data will be processed as described in the Allegis Group Online Privacy Notice available at (url removed)> To access our Online Privacy Notice, which explains what information we may collect, use, share, and store about you, and describes your rights and choices about this, please go to (url removed)> We are part of a global network of companies and as a result, the personal data you provide will be shared within Allegis Group and transferred and processed outside the UK, Switzerland and European Economic Area subject to the protections described in the Allegis Group Online Privacy Notice. We store personal data in the UK, EEA, Switzerland and the USA. 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Head of Growth (Sales-focused) AI Learning & Enterprise Partnerships £80,000£100,000 + Comms/Bonus 20/30% + EMI Share Options (where applicable) London Hybrid (1 day per week in the office) Build the growth engine. Shape the strategy. Report directly to the CEO / Founder. Most commercial leadership roles ask you to optimise what's already there click apply for full job details

White Collar Factory (95009), United Kingdom, London, London Staff Software Engineer - Machine Learning About this role We're on a mission to transform the way we use data and AI to service our customers and drive efficiency across the business. Do you love shaping the technical landscape and driving innovation across the organisation? Are you passionate about solving complex ML and AI challenges and supporting multiple teams toward a shared technical vision? At Capital One, you'll be part of a community of technical leaders who drive engineering excellence, foster innovation, and deliver impactful ML/AI and Gen AI solutions that meet real customer needs. What You'll Do - Own and drive the ML/AI technical strategy for UK use cases, spanning multiple teams and influencing the overall technical direction for AI adoption - Lead and coordinate ML engineering efforts across multiple teams, ensuring alignment with broader business objectives, enterprise platform capabilities, and technology strategy - Provide technical consultancy to teams delivering AI use cases, guiding architectural decisions, solution design, and effective use of enterprise ML/AI platforms and capabilities - Proactively identify emerging ML/AI patterns, define and evangelise best practices, and establish reusable approaches that enhance delivery of AI use cases across the business - Drive MLOps standards and practices across teams, including CI/CD for models, automated testing, monitoring, and deployment pipelines - Collaborate with enterprise platform and data science teams, contributing to platform capabilities where appropriate and partnering on use case delivery - Build and maintain strong relationships with key stakeholders, including senior leadership, product owners, data science teams, and enterprise platform partners - Represent Capital One in external ML/AI technical forums, contributing to industry discussions - Develop and advocate for strategies to proactively manage technical debt across ML/AI systems - Actively mentor and develop engineers, fostering a culture of continuous learning What we're looking for - Deep expertise in Python and ML engineering - Deep expertise in ML/AI systems design, MLOps, and cloud-native architectures - Track record of leading ML/AI technical initiatives across multiple teams - Strong experience with cloud platforms (AWS, Azure, GCP) - Experience with ML frameworks (PyTorch, TensorFlow, scikit-learn) and Gen AI/Agentic frameworks (LangGraph, LangChain, VectorDBs, RAG) - Understanding of responsible AI practices, including guardrails, hallucination mitigation, and output quality management for AI systems - Experience designing and scaling low-latency, customer-facing ML/AI architectures - Proven experience setting a multi-team ML/AI technical vision and strategy - Strong track record of technical leadership and influence without authority - Experience driving ML engineering standards and best practices across organisations - Deep understanding of the full ML/AI development lifecycle, including model serving, data pipelines, and Gen AI systems - Experience leveraging enterprise platforms to deliver business use cases at scale - Experience of steering Communities of Practice or technical forums - Strong business acumen and ability to translate ML/AI concepts for various audiences Where and how you'll work This is a permanent position based in our London office. We have a hybrid working model which gives you flexibility to work from our office and from home. We're big on collaboration and connection, so you'll be based in our London office 3 days a week on Tuesdays, Wednesdays and Thursdays. What's in it for you - Bring us all this - and you'll be well rewarded with a role contributing to the roadmap of an organisation committed to transformation - We offer high performers strong and diverse career progression, investing heavily in developing great people through our Capital One University training programmes (and appropriate external providers) - Immediate access to our core benefits including pension scheme, bonus, generous holiday entitlement and private medical insurance - with flexible benefits available including season-ticket loans, cycle to work scheme and enhanced parental leave - Open-plan workspaces and accessible facilities designed to inspire and support you. Our Nottingham head-office has a fully-serviced gym, subsidised restaurant, mindfulness and music rooms. What you should know about how we recruit We pride ourselves on hiring the best people, not the same people. Building diverse and inclusive teams is the right thing to do and the smart thing to do. We want to work with top talent: whoever you are, whatever you look like, wherever you come from. We know it's about what you do, not just what you say. That's why we make our recruitment process fair and accessible. And we offer benefits that attract people at all ages and stages. We also partner with organisations including the Women in Finance and Race At Work Charters, Stonewall and upReach to find people from every walk of life and help them thrive with us. We have a whole host of internal networks and support groups you could be involved in, to name a few: - REACH - Race Equality and Culture Heritage group focuses on representation, retention and engagement for associates from minority ethnic groups and allies - OutFront - to provide LGBTQ+ support for all associates - Mind Your Mind - signposting support and promoting positive mental wellbeing for all - Women in Tech - promoting an inclusive environment in tech - EmpowHER - network of female associates and allies focusing on developing future leaders, particularly for female talent in our industry - Enabled - focused on supporting associates with disabilities and neurodiversity Capital One is committed to diversity in the workplace. If you require a reasonable adjustment, please contact All information will be kept confidential and will only be used for the purpose of applying a reasonable adjustment. For technical support or questions about Capital One's recruiting process, please send an email to Capital One does not provide, endorse nor guarantee and is not liable for third-party products, services, educational tools or other information available through this site. Capital One Financial is made up of several different entities. Please note that any position posted in Canada is for Capital One Canada, any position posted in the United Kingdom is for Capital One Europe and any position posted in the Philippines is for Capital One Philippines Service Corp. (COPSSC). Who We Are At Capital One, we're building a leading information-based technology company. Still founder-led by Chairman and Chief Executive Officer Richard Fairbank, Capital One is on a mission to help our customers succeed by bringing ingenuity, simplicity, and humanity to banking. We measure our efforts by the success our customers enjoy and the advocacy they exhibit. We are succeeding because they are succeeding. Guided by our shared values, we thrive in an environment where collaboration and openness are valued. We believe that innovation is powered by perspective and that teamwork and respect for each other lead to superior results. We elevate each other and obsess about doing the right thing. Our associates serve with humility and a deep respect for their responsibility in helping our customers achieve their goals and realize their dreams. Together, we are on a quest to change banking for good.

This is a self-funded career programme with a guaranteed job on completion or 100% of your course fees back Train. Certify. Get Hired. AI is expected to generate 170 million jobs by 2030 and at present experienced professionals can earn salaries of upwards of £66,000. In todays digital world, AI is transforming every aspect of our lives and is at the heart of modern technological advancements. . click apply for full job details

Senior Technology Learning & Adoption Training Specialist A fantastic opportunity has arisen for a Senior Technology Learning & Adoption Training Specialist to join our London based law firm on a permanent basis. Senior Technology Learning & Adoption Training Specialist Responsibilities and Duties: Act as a coach in building the skills and abilities of personnel, both inside and outside of the class click apply for full job details

Senior Account Manager Machine Vision Location: Uk or Germany Hybrid role - Salary: £70 90k base + 60:40 commission split + normal bens Client need A strategic and proactive senior account manager with a strong interest for cutting-edge technology. We are expanding our EMEA Machine Vision team and are looking for 2 Senior Account Managers one in the UK and the other based in Germany to drive extra g click apply for full job details

Learning & Development Partner Retail London We're partnering with a well-known retail brand looking for an experienced Learning & Development Partner to help shape how their people learn, develop and grow. This is an opportunity to join a business that's investing heavily in its people, where learning isn't an afterthought, it's a genuine business priority click apply for full job details

Senior Business Development Manager Enterprise Learning Solutions £55,000£70,000 + Commission / Bonus (£20-50k) - working towards 100/100 Hybrid (London based - 1 day a week in the office) Enterprise Sales Strategic Partnerships Learning Programmes Commercial Growth Build strategic partnerships that shape the future of work click apply for full job details

Senior Machine Learning Engineer Applying rigorous machine learning to real-world problems that matter We're looking for a Senior Machine Learning Engineer to join a multidisciplinary data and AI team delivering high-impact, real-world solutions in a secure and highly regulated environment . This is a senior, hands-on practitioner role , not a people-management position. You'll operate with a high degree of autonomy, leading complex machine learning work end-to-end through technical depth, sound judgement, and delivery credibility . The organisation is outcome-led rather than technology-led . Where strong market solutions exist, they are used. Machine learning is built in-house only where problems are genuinely complex, niche, or sensitive - requiring experimentation, evaluation, and iteration beyond what can be bought. This means the work is thoughtful, challenging, and purposeful, rather than driven by novelty or trend. What you'll be doing You'll take ownership of complex ML problems, applying scientific thinking and pragmatism in equal measure. You will: - Lead end-to-end machine learning delivery , from problem definition through experimentation, evaluation, and iteration - Apply mathematical, statistical, and scientific reasoning to form hypotheses, quantify uncertainty, and interpret results - Design and run structured experiments to assess model behaviour, performance, and user impact - Work with real, imperfect operational data , not just curated or static datasets - Collect, assess, and transform data to support model evaluation and continuous improvement - Balance rigour with pragmatism, delivering solutions that are robust, proportionate, and fit for purpose - Integrate machine learning components into wider systems , considering performance, reliability, and operational constraints - Communicate complex technical ideas clearly to non-technical stakeholders , enabling informed decision-making - Engage confidently in deep technical design and review discussions with peers - Operate effectively within a strong technical assurance and review culture - Collaborate with internal teams and selected external partners working at the leading edge of AI What we're looking for This role suits a senior ML practitioner who values judgement, evidence, and outcomes over theoretical or tooling purity. Essential experience: - Proven experience operating at senior practitioner level as a Machine Learning Engineer, AI Engineer, Applied ML Scientist, or equivalent - Strong grounding in applied mathematics, statistics, and scientific practice - Demonstrated ability to evaluate ML models using quantitative evidence and structured experimentation - Excellent Python skills for building, evaluating, and iterating on ML solutions - Experience working with real-world, imperfect data from operational systems - Strong software engineering practices, including readable, maintainable, and well-tested code - Experience integrating ML components into broader production systems - Clear understanding of data ethics, privacy, and responsible use of data - Strong communication skills across technical and non-technical audiences - Proven ability to lead work independently and take ownership of outcomes Technologies you'll encounter The environment evolves, but typical tools include: - Python for experimentation, modelling, and evaluation - Weights & Biases (or equivalent) for experiment tracking - AWS , including services such as SageMaker and Bedrock - Internally supported AI development platforms and tooling This role is not suited to candidates who are dogmatic about specific tools . Adaptability and outcome focus matter more than platform allegiance. Desirable experience - Working in secure, safety-critical, or heavily regulated environments - Background in sectors such as energy, oil & gas, defence, or public sector - Experience within formal technical assurance or governance processes - Collaboration with external suppliers, partners, or research organisations - Comfort operating at pace where quality, safety, and compliance are non-negotiable If you enjoy solving complex problems, applying scientific thinking to messy reality, and delivering ML that stands up to scrutiny, this role offers both challenge and meaning. If interested, apply now! Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.

Senior Machine Learning Engineer Location: London Hybrid Salary: £60-£80ph Outside IR35 Hexwired Recruitment has partnered with an innovative AI technology company developing next-generation machine learning solutions for complex real-world applications. Due to continued growth, they are looking for a Senior Machine Learning Engineer to join their expanding team in London. Required Experience - Strong C++ development skills. - Experience with CUDA for GPU acceleration. - Python and PyTorch experience. - Knowledge of Transformers, computer vision or image analysis. - Postgraduate or commercial experience within AI/Machine Learning This is an exciting opportunity to work on cutting-edge AI research, developing advanced machine learning technologies that will directly influence innovative real-world products. You'll work alongside a highly skilled team, solving complex technical challenges and shaping the future of AI systems. The company are rapidly expanding and are at the forefront of their industry. They are looking to pay circa £ 60-£80ph outside IR35. The initial duration of the contract is 5 months with possible extension. If you re interested in this Machine Learning Engineer job in London, please apply. 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)

Job Title: Machine Learning Engineer (Computer Vision) Location: London Salary: Up to 160,000 (DOE) We are looking for a Machine Learning Engineer with experience in Computer Vision to join a growing engineering team developing machine learning solutions for complex real-world environments. This role would suit someone with a strong technical background who enjoys taking models from research through to deployment and working closely with engineers, data scientists, and domain experts. The Role You will be responsible for designing, training, and deploying computer vision models, working across the full machine learning lifecycle. The work will involve building production-ready systems, evaluating model performance, and contributing to technical decisions across a range of projects. Requirements - A degree from a leading Russell Group university in Computer Science, Mathematics, Engineering, Physics, or a related discipline - At least 2 years of commercial experience in a Machine Learning, AI, or Computer Vision Engineering role - Strong Python programming skills - Experience with PyTorch, TensorFlow, or similar machine learning frameworks - Experience developing computer vision models using techniques such as object detection, image classification, segmentation, or tracking - Experience working with real-world datasets and deploying models into production environments - Strong communication skills and the ability to work within a multidisciplinary team If this role is of interest, please apply below.

Job Title: Machine Learning Engineer Location: London Salary: Up to 70,000 DOE This is a unique opportunity for a Machine Learning Engineer to join a well-funded early-stage company building frontier AI systems focused on optimising complex operational environments. Working at the intersection of scientific machine learning, time-series modelling, optimisation, and real-world deployment, you will help shape products designed for measurable real-world impact. This is a hands-on engineering role where you will work closely with a high-calibre founding team, industrial data, and customer environments to take machine learning systems from early validation through to scalable deployment. The Role You will design, build, and deploy advanced machine learning models capable of solving complex operational challenges in real-world environments. Working closely with engineering and product teams, you will help develop scalable systems that can operate effectively with imperfect, high-volume data while contributing to the long-term technical direction of the platform. Requirements - A strong academic background in a quantitative STEM discipline such as Computer Science, Mathematics, Physics, Engineering, or related fields - Commercial experience developing machine learning solutions using Python and modern ML frameworks - Strong understanding of applied machine learning techniques, particularly around modelling complex systems and large-scale datasets - Experience working with time-series, forecasting, optimisation, or probabilistic modelling approaches - Comfortable working with unstructured or inconsistent real-world data in production settings - A problem-solving mindset with the ability to work autonomously within a fast-moving environment - Interest in applying machine learning to operational, industrial, or physical systems Desirable Experience - Experience deploying ML systems into production environments - Exposure to scientific machine learning, simulation, or reinforcement learning - Familiarity with cloud infrastructure and scalable ML pipelines If this opportunity is of interest, please apply below.

CNC Machine Operator / Improver Orpington, Kent £14.00 per hour £14.50 per hour (dependent on experience) 40 hours per week Monday - Friday, 8:00am - 4:30pm Right Match Recruitment Group are proud to partner with a long-standing and well-established engineering company based in Orpington click apply for full job details