1 to 25 of 517 Machine Learning Jobs in the City of London

ll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with … securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy … may be a g ood fit if y ou: Have strong experience in machine learning and computer vision. Have a strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machine learning theory. Have strong coding skills in Python and PyTorch. Care about building fair and cutting-edge machine learning More ❯

ll be joining the team leading Entrust's Identity portfolio, formerly known as Onfido (an AI- powered digital identity solution). Our technology helps businesses verify real identities using machine learning, ensuring secure remote customer onboarding. By assessing government- issued identity documents and facial biometrics using state-of-the-art machine learning, we provide companies with … securely while allowing people to access services quickly and safely. Our Applied Scientist team consists of about twenty machine learning scientists. The team is supported by an ML Ops team that provides state-of-the-art tooling (including AWS, Encord, Ray, PyTorch Lightning and Weights & Biases). The Applied Science team works closely with product engineering to deploy … may be a g ood fit if y ou: Have strong experience in machine learning and computer vision. Have a strong record of successfully delivering high-performance ML-driven products. Have a deep understanding of machine learning theory. Have strong coding skills in Python and PyTorch. Care about building fair and cutting-edge machine learning More ❯

looking for Machine Learning Specialists, and we’re hoping it’s you! In this role, you’ll play a leading role in helping both customers with their ML validation challenges and in helping drive our product forward with insights on how to build the best validation solutions for high-stakes machine vision problems. The specific focus of … this position is on ML-based computer vision in high-stakes applications in Aviation, Mobility, Robotics and Edge Devices, with particular emphasis on object detection and tracking. The role has customer & user-facing elements working on real world problems to help ML teams (R&D and Product within other organizations) improve the quality of their models, but also requires deep … foundational knowledge on ML-based computer vision. In addition you will also work closely with the Safe Intelligence R&D team to help improve the company’s tools based on the challenges you see in your domains of expertise. This can range from inputs to product to working on the product itself. Previous contributions to state-of-the-art machine More ❯

users find and engage with products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while … for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning. Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and … design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation. Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring). Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning. Stay More ❯

thinking team where cutting-edge technology meets genuine purpose. The Role: I’m seeking a Lead Machine Learning Engineer to drive the design, deployment, and scaling of ML solutions across our global data ecosystem. You’ll be the technical lead for machine learning and AI engineering — building production-ready systems, enabling seamless collaboration with data scientists … direction of machine learning engineering and deployment, ensuring models are robust, scalable, and high performing. Work hand-in-hand with data scientists to design, prototype, and operationalize ML and AI models that deliver real business value. Develop and maintain a comprehensive MLOps framework — from versioning and CI/CD to monitoring and governance. Provide technical guidance and mentorship … helping grow a capable ML Engineering team over time. Partner with product, platform, and analytics teams to embed ML into data products and digital services. Stay current with advancements in Generative AI and LLMs, exploring opportunities to apply them within the pet care and nutrition space. What We’re Looking For Strong communicator who can translate technical complexity into business More ❯

a leading developer and provider of full-stack photonic quantum computing systems. This company focuses on innovative approaches to quantum computing, high performance, and data centre-standard systems for machine learning and generative AI. You will have the opportunity to work in multidisciplinary teams of quantum scientists’, engineers, and mathematicians who are developing hardware and software within quantum … classical systems. We're looking for an experience machine learning engineer, who will thrive in collaborative dynamic environments where learning is continuous and every contribution drives progress towards the next generation of computing. Having knowledge or interest within quantum computing would be desirable. Your Responsibilities: You will research, implement and benchmark new machine learning algorithms … the user facing software stack by adding and improving new algorithm applications and examples. Technical Expertise: Master's or PhD in a relevant field (physics, computer science...) Expertise in machine learning, with a strong understanding of flow matching, diffusion and/or GANs Machine learning orientated programmed skills (Pytorch, Python...) Experience in developing and benchmarking new More ❯

and Generative AI, combining them with proven machine learning techniques to improve personalisation and traveler experience at scale. In this role, you will: Research and design innovative ML and GenAI approaches for large-scale ranking and personalisation. Build, test, and deploy ML models into production with performance validated through online experimentation. Collaborate with engineers, analysts, and product partners … to deliver robust, scalable, and business-driven solutions. Translate complex technical results into clear insights and recommendations for both technical and non-technical audiences. Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications: Master’s degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional … experience. 4+ years of applied Machine Learning experience, with models built and maintained in a production environment. High proficiency in Python and modern ML frameworks such as PyTorch or TensorFlow. A strong foundation in Machine Learning fundamentals, statistics, and experimentation. Preferred Qualifications: Experience with ranking or recommender systems. Experience with recent Large Language Models (LLMs), including More ❯

learning models and AI-driven solutions to address business challenges. Collaborate with data scientists to transition prototypes into production-ready systems . Develop and maintain end-to-end ML pipelines for data ingestion, training, testing, and deployment. Optimise model performance, scalability, and reliability using MLOps best practices. Work with large-scale structured and unstructured datasets for model training and … validation. Implement model monitoring, versioning, and retraining processes to ensure continuous improvement. Collaborate cross-functionally with engineering, data, and product teams to integrate ML solutions into production environments. Stay current with emerging trends in AI/ML technologies and contribute to innovation within the organisation. Required Skills & Experience Proven experience (3–5+ years) as a Machine Learning Engineer … lakes, and cloud data platforms. Proficiency with cloud services (AWS, Azure, or GCP) for model deployment and orchestration. Knowledge of containerization and orchestration tools (Docker, Kubernetes). Experience integrating ML models into production environments via APIs or microservices. Excellent problem-solving, analytical, and communication skills. Preferred Qualifications Bachelor’s or Master’s degree in Computer Science , Data Science , Mathematics , or More ❯

push the boundaries of AI efficiency and capability, working closely with multidisciplinary teams across software, hardware and research. You’ll play a key role in developing and refining new ML architectures, designing input/output encoding methods, and conducting rigorous benchmarking to evaluate and improve performance. This role is ideal for an engineer with a strong foundation in ML who … design and hands-on model development. Responsibilities Design and optimise novel machine learning architectures for high-dimensional and visual data. Develop and test hybrid physical/software ML models tailored to next-generation computing platforms. Design and evaluate data encoding, preprocessing and postprocessing methods. Build tools and pipelines for performance benchmarking and model evaluation. Research and adapt state … of-the-art ML and computer vision techniques to new hardware paradigms. Collaborate cross-functionally with hardware, software and research teams. Requirements Strong background in machine learning algorithm development and optimisation. Proficiency in Python and modern ML frameworks such as PyTorch, JAX or TensorFlow. Experience with data modelling, preprocessing and performance benchmarking. Understanding of ML evaluation metrics and More ❯

Engineer, you’ll be part of cross-functional delivery teams working on technically complex, high-impact AI projects. You’ll play a central role in designing and building the ML architecture (from infrastructure and deployment to tooling and automation) to ensure that solutions are not only technically sound, but also scalable, maintainable, and secure. This is a hands-on role … environments. Key Responsibilities Lead the design and build of production-ready machine learning pipelines and systems Develop infrastructure and tooling to enable deployment, monitoring, and retraining of ML models Work across the full AI delivery lifecycle, from architecture and integration to performance optimisation Collaborate with customers and stakeholders to understand operational constraints and align on solution design Mentor … continuous improvement of delivery practices, internal tooling, and knowledge sharing across teams What We’re Looking For Strong software engineering skills, especially in Python. Experience building robust systems for ML applications Proven track record deploying machine learning models in production (using frameworks such as Scikit-learn, TensorFlow, or PyTorch) Practical experience working with cloud infrastructure (e.g., AWS, Azure More ❯

ownership and strategic direction , guiding the research, development, and deployment of machine learning models for real-time speech enhancement. Responsibilities: Lead the design, training, and optimisation of ML models for speech separation and noise reduction. Provide technical leadership and mentorship to a small, high-performing engineering team. Bridge research and production — ensuring scalable, low-latency model deployment. Collaborate … cross-functionally with software and product teams to integrate ML systems into live products. Contribute to the company’s long-term AI strategy and technical roadmap. Requirements: MSc or PhD in Computer Science, Machine Learning, or Signal Processing. Proven experience in leading or mentoring ML/AI engineering teams. Deep understanding of digital signal processing and speech/… audio modelling . Proficiency with Python , PyTorch/TensorFlow , and modern ML frameworks. Track record of delivering production-grade ML systems with measurable performance improvements. Experience with low-latency inference and model optimisation (ONNX, TensorRT, quantisation) is highly desirable. This is an opportunity to take ownership of the machine learning function within a growing AI company, driving innovation More ❯

x1 day sometimes) About the Role & Company Join a large-scale, consumer-facing technology business operating across multiple markets, known for its innovation, rich user data, and commitment to ML/AI. With thousands of employees and a rapidly expanding AI/ML function, this company is investing deeply in applied machine learning to enhance digital experiences, power … data-driven decision-making. As a Senior Machine Learning Engineer, you’ll be part of a cross-functional team bringing models from ideation into production, developing scalable ML systems that operate across both real-time and batch environments. You'll also help shape internal tooling and infrastructure to support rapid experimentation, reliable deployment, and safe AI at scale. … models as APIs, streams, and batch services Partner with Data Scientists to industrialise prototypes into production-ready applications Lead on observability, CI/CD automation, and monitoring for ML workflows Develop cloud-native infrastructure using Docker, Kubernetes, and Terraform Contribute to shared ML tooling and experimentation platforms Ensure best practices in model testing, rollback, and deployment hygiene Work across More ❯

Instructor to support delivery across the Machine Learning Engineer (Level 6) Apprenticeship and wider commercial programmes. If you're a passionate technologist who loves bringing complex ML concepts to life — from maths foundations to real-world deployment — this is your chance to make a real impact. What you'll do You'll play a key role in … helping learners and professionals build deep, practical ML capability. Day-to-day, you'll: ? Deliver engaging teaching sessions covering the full ML lifecycle — data prep, model training, evaluation, deployment and monitoring at scale. ? Explain the maths behind ML models (linear algebra, calculus, probability, stats) in an accessible, engaging way. ? Support learners throughout their apprenticeship journey alongside Learner Success Coaches. ? Contribute … delivery meets the standards expected by Ofsted, ESFA and other awarding bodies. What we're looking for You'll need to bring: Strong industry experience in end-to-end ML projects — from data wrangling and model building to deployment and monitoring. Confident teaching ability — whether you've formally taught, mentored or coached technical teams. Mathematical depth — clear understanding of the More ❯

are detected and treated. Having built a strong foundation in both lab and data infrastructure, the company is now expanding its compsci team with a focus on developing advanced ML models for genomic analysis - work that directly contributes to saving lives through faster, more accurate diagnosis. The Role We’re hiring a Machine Learning Engineer to lead the … detection system - building bespoke algorithms that identify unusual patterns in genomic data and support the company’s mission to prevent incorrect antibiotic prescriptions. You’ll design and test novel ML methods using foundational pre-trained genomic embeddings and custom anomaly-detection architectures , turning proprietary data into interpretable, high-impact models. This is a deep research role: success will come through … development What We’re Looking For Required MSc or PhD in Machine Learning, Computational Biology, Bioinformatics, or related discipline (or equivalent industry experience) Demonstrated ability to apply ML methods to biological or genomic data Strong Python skills with experience in PyTorch, TensorFlow, or scikit-learn Understanding of bioinformatics workflows (e.g. genome assembly, QC, annotation) Experience working with large More ❯

learning problems, and build effective models. Partner with data and software engineering teams to deliver your solutions into production. Develop a deep understanding of our data and ML infrastructure Document the technical details of your work Present your ideas and results to product management, stakeholders, and leadership teams in a clear and effective manner. Collaborate and brainstorm with … other team members and across the company Stay current with advances in ML and GenAI to drive innovation within the team. Minimum Qualifications Master’s degree or Ph.D. in Computer Science, Statistics, Math, Engineering, or a related technical field; or equivalent related professional experience You have 2+ years hands on experience with ML in production, building datasets, selecting and engineering … to learn new things, techniques and technologies Preferred Qualifications: Experience with ranking systems and recent Large Language Models (LLMs), including fine-tuning, efficient deployment, and architectures Comfortable working with ML platforms like DataBricks and Cloud platforms such as AWS, and Docker Hands-on experience with workflow orchestration tools (e.g., Airflow, Flyte) Location expectations This role is based in London, in More ❯

customers get maximum value out of our solutions. The ideal candidate for this role will get stuck in across the organisation, moving naturally from intricate data analysis, through detailed ML considerations and onto the broader business context. You will have the freedom to propose, research and implement innovative new ideas to improve our system. If you want to apply cutting … have immediate business impact, we’d love to hear from you. Your responsibilities Innovate on Solvo’s modelling and decision making solution. Create value for customers through application of ML principles and best practice. Strive for high quality and robust outcomes. Continuously ensure we are using the most appropriate ML modelling techniques for customer projects and our product offerings. Design … scalability and performance. Collaborate closely with scientists and engineers in an agile team environment. Facilitate understanding of our AI solutions internally and externally. Continuously develop your own AI/ML and engineering skills. Essential skills and experience Academic or industrial research experience in machine learning, especially probabilistic models and Bayesian statistics. Proficiency in designing and programming advanced ML More ❯

Learning Engineer to push the boundaries of how data and models are used in systematic investing. This isn’t a research support role — it’s about building the ML infrastructure that directly drives trading strategies and PnL. The Opportunity Key Responsibilities Design and implement distributed training pipelines handling high-volume data and complex model architectures Develop low-latency inference … experimentation, tuning and retraining in partnership with research teams Work with infrastructure specialists to optimise workflows and reduce compute costs Assess and integrate emerging open-source tools to enhance ML development and deployment Skills and Experience 5+ years’ experience in machine learning with a focus on training and inference systems Strong programming expertise in Python and C++ or … CUDA Proficiency with PyTorch, TensorFlow or JAX Hands-on experience with GPU acceleration and distributed training (Horovod, NCCL or similar) Background in real-time, low-latency ML pipelines Familiarity with cloud and orchestration technologies Contributions to open-source ML or distributed systems projects are advantageous Why This Firm? Direct impact: your work feeds into live trading strategies, not just experiments. More ❯

/data private, feel free to WhatsApp your details/CV to me, Dan - 07704 152638 WHO WE ARE: We're a rapidly growing AI-powered technology startup combining machine learning and automation to drive innovation across the healthcare. Our mission is to use advanced AI systems to streamline operations, enhance insights, and improve real-world wellbeing outcomes. … Lead and deliver AI and machine learning projects in collaboration with cross-functional teams (engineering, product, and domain experts). Design, develop, and deploy end-to-end ML systems , from concept to production. Build models for intelligent automation, natural language processing (NLP), and data-driven insights. Work with Python , PyTorch , TensorFlow , and scikit-learn to prototype and scale … and reliability in real-world environments. AI SCIENTIST - ESSENTIAL SKILLS: Proven experience designing, training, and deploying machine learning models in production. Strong proficiency in Python and key ML frameworks ( PyTorch , TensorFlow , scikit-learn ). Deep understanding of machine learning algorithms and statistical modelling. Ability to work independently while collaborating effectively within technical teams. Excellent analytical , problem More ❯

/data private, feel free to WhatsApp your details/CV to me, Dan – 07704 152638 WHO WE ARE: We’re a rapidly growing AI-powered technology startup combining machine learning and automation to drive innovation across the healthcare. Our mission is to use advanced AI systems to streamline operations, enhance insights, and improve real-world wellbeing outcomes. … Lead and deliver AI and machine learning projects in collaboration with cross-functional teams (engineering, product, and domain experts). Design, develop, and deploy end-to-end ML systems , from concept to production. Build models for intelligent automation, natural language processing (NLP), and data-driven insights. Work with Python , PyTorch , TensorFlow , and scikit-learn to prototype and scale … and reliability in real-world environments. AI SCIENTIST – ESSENTIAL SKILLS: Proven experience designing, training, and deploying machine learning models in production. Strong proficiency in Python and key ML frameworks ( PyTorch , TensorFlow , scikit-learn ). Deep understanding of machine learning algorithms and statistical modelling. Ability to work independently while collaborating effectively within technical teams. Excellent analytical , problem More ❯

We are partnering with an early-stage, mission-driven company at the intersection of AI and national defence to appoint exceptional Machine Learning Engineers . This fast-growing organisation is transforming mission-critical combat planning and operational decision-making by building next-generation AI software tools for Western forces. Founded in 2023, the company has already secured significant … leaders. They combine deep sector knowledge with cutting-edge design and software engineering expertise to deliver state-of-the-art SaaS capabilities leveraging NLP, GenAI, Computer Vision, and Reinforcement Learning technologies. Position location (hybrid) : London (Shoreditch) or Paris (Le Marais) We are seeking Machine Learning Engineers who are passionate about using AI technology to solve complex, real … the product team, to identify and capitalise on high-impact opportunities Keep the company at the forefront of innovation by exploring and applying the latest research Requirements: MSc in Machine Learning, Computer Science, or a related field 5+ years of experience in machine learning, with an expertise in modelling, prototyping, and evaluation Strong software engineering skills More ❯

C++/Embedded Software/ML/Machine Learning/Python Senior/Lead Software Engineer – AI/ML Foundation Model | Future CTO Potential Role: Senior Software Engineer Location: West London - 3/4 days per week Sector: Artificial Intelligence | Physical Engineering | High-Performance Computing Type: Full-time | Permanent Salary: up to £150,000 + Equity options About … hirers and will play a pivotal role in shaping the company’s technology strategy, architecture, and engineering culture. Key Responsibilities Design, build, and optimise scalable, high-performance systems for ML-driven automation. Lead the development and deployment of next-generation control software solutions. Collaborate with the founding team to define technical strategy, architecture, and infrastructure. Contribute to end-to-end … to or interest in machine learning frameworks (e.g., PyTorch, TensorFlow) — not essential but beneficial. Building and scaling complex systems end-to-end. C++/Embedded Software/ML/Machine Learning/Python More ❯

ground robots, and edge devices. Key Responsibilities Build, lead, and mentor a high-performing AI and Machine Learning engineering team . Design, implement, and optimise AI/ML models for perception, decision-making, and control. Integrate AI algorithms into both enterprise-scale and edge-deployed systems . Work with customers to translate complex problems into AI-powered solutions … integration. Essential Skills & Experience MSc (or PhD) in Computer Science, Artificial Intelligence, Machine Learning, Robotics, or related engineering field . 5+ years of experience in AI/ML research and production-level deployment . Proven ability to manage or mentor other engineers. Strong coding skills in Python, C++, Rust, or Java . Practical experience with deep learning, reinforcement learning, computer vision, or sensor fusion . Excellent communication and problem-solving skills. Desirable Extras Publications in leading AI/ML or robotics conferences (e.g. NeurIPS, CVPR, ICLR, ICRA). Experience with MLOps pipelines, synthetic data, and model optimisation for edge devices . Understanding of sensor fusion, perception pipelines , and AI safety principles . What’s on More ❯

Lead Data Scientist | Life Science | Hybrid (London) Up to £130k + equity We’re partnering with a pioneering health technology company using machine learning and predictive analytics to transform how cardiovascular and metabolic diseases are detected, treated, and ultimately prevented. Their mission is to use AI and data science to extend global health span by identifying individuals at … to-event modelling, propensity scoring, Mendelian randomisation). Analyse and integrate multi-omics and clinical datasets to uncover novel biomarkers and risk factors. Build and productionise end-to-end ML pipelines, from research to deployment. Collaborate with clinicians, engineers, and product teams to translate scientific findings into scalable tools. Contribute to model evaluation, explainability, and validation across diverse data sources. … imaging data with clinical outcomes. Knowledge of cloud platforms (AWS, GCP, or Azure) and distributed computing tools (PySpark, Dask, or Ray). Familiarity with reinforcement learning or causal ML for adaptive interventions. Why Apply Join a company combining scientific excellence, AI innovation, and real-world health impact. Work with world-leading clinicians and researchers. Shape a greenfield data science More ❯

quality, more intelligent ad-funded internet. They’re now hiring their first ever Applied Machine Learning Engineer — someone curious, hands-on, and ready to own all things ML from day one. What you’ll be doing: Building and deploying applied ML systems that make the product smarter and more defensible Developing contextual categorisation of web content Prototyping algorithms … retrieval-augmented generation (RAG) Working cross-functionally with engineers, product and commercial teams to bring ideas to life What they’re looking for: 1–3 years’ experience in applied ML/AI (or equivalent projects) Strong Python skills with PyTorch, Hugging Face or scikit-learn Experience experimenting with LLMs (fine-tuning, embeddings, prompt chaining etc.) A passion for turning messy … real-world data into something powerful and production-ready Excitement about being the first ML hire in a scaling start-up environment Why you’ll love it: Real ownership from day one — build, shape and scale the ML function Hybrid setup (London-based, flexible culture) 33 days holiday + Christmas shutdown Private medical, pension, socials, offsites & more If you’re More ❯

Machine Learning Engineer | London (Hybrid) | £70,000 - £80,000 We are looking for a Machine Learning Engineer to join our London-based client, to deliver end-to-end solutions on exciting new projects which have come about due to growth. You’ll be designing, building and deploying machine learning models which solve … complex business challenges, working closely with cross-functional teams at all stages, to turn insights into impactful products. In this role you will Work end-to-end on new ML models from development through to training and optimising Work closely with a small team of data scientists, engineers and product managers Implement scalable data pipelines and deployment strategies for new … models Continuously improve solutions and conduct performance evaluations of models What we’re looking for 3+ years of industry or research experience Python and SQL proficiency, with experience using ML frameworks e.g PyTorch Experience with Azure cloud Driven to progress within a growing SME What our client are offering £70,000 - £80,000 salary DOE Flexible working arrangements with More ❯