1 to 25 of 66 Machine Learning Engineer Jobs in Central London

Social network you want to login/join with: Machine Learning Engineer, london (city of london) col-narrow-left Client: CipherTek Recruitment Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 10 Posted: 25.05.2025 Expiry Date: 09.07.2025 col-wide Job Description: Job Title : Machine Learning … City- UK based) Very flexible working arrangements Industry : Investment Banking/Finance Technology We are partnering with a prestigious investment bank to find a highly skilled and Hands-on Machine Learning Operations (MLOps) Lead. This role will be pivotal in building out a greenfield framework for the deployment and management of scalable AI/ML solutions, specifically for … all the tools and best practices to educate data scientists and equip them with the right tools and expertise. You MUST be hands on. A strong understanding of Devops, Machine learning and Data engineering is required to enable to right candidate to implement the MLOps processes. This team are a specialist team and this role in particular is More ❯

the private sector, they are recognised as a leader in smart energy optimisation and predictive systems . As they continue to expand their AI capabilities, they’re seeking a Machine Learning Engineer to help productionise ML models and deliver real-time insights across their energy analytics platforms. Key Responsibilities: Develop, deploy, and monitor robust ML systems for … to-end ML pipelines Contribute to model governance, MLOps, and performance monitoring frameworks Participate in code reviews, design discussions, and performance tuning Requirements: 3+ years of experience in a Machine Learning Engineer or similar role Proficiency in Python , ML frameworks (TensorFlow, PyTorch), and deployment tools (Docker, MLflow, etc.) Experience building scalable ML pipelines in cloud environments (AWS … GCP or Azure) Familiarity with energy systems, smart metering, or IoT data is a significant bonus Bachelor’s or Master’s degree in Computer Science, Engineering, Machine Learning, or a related discipline Strong problem-solving mindset and ability to work cross-functionally in agile teams More ❯

Senior AI/ML Engineer Location: London (2 Days in Office) Type: Permanent, Full-time About the Role An established tech company is building out its next generation of intelligent software products and is looking for a highly experienced Staff-level AI/ML Engineer to lead hands-on development of machine learning systems. This is … ground up, this role offers the opportunity to shape something new in a growing, fast-paced environment. Key Responsibilities End-to-End ML Development Own the full lifecycle of machine learning initiatives — from idea to deployment and monitoring. Hands-On System Design Architect scalable, reliable ML pipelines and APIs, leveraging cloud-native tools and services. AI Feature Integration More ❯

Senior AI Engineer | HealthTech | Remote £100-130k + equity This series A healthtech start-up is transforming healthcare delivery through AI-powered solutions, making patient care more personalised, efficient, and scalable. They're already partnering with global healthcare organisations and generating seven-figure ARR. They're building an AI-first platform designed from the ground up to streamline … workflows, enhance clinical decision-making, and dramatically improve patient outcomes. We’re hiring a first Senior AI Engineer to pioneer the implementation of AI automation within the internal operations and across their client-facing products. This unique role offers significant autonomy and the opportunity to define and shape AI strategy. Key Responsibilities: Design, build, and deploy production-grade AI … cases including classification, personalisation, forecasting, and more. Rapidly prototype AI-driven utilities and automation tools, launching them swiftly into production. Collaborate closely with product and engineering teams to apply machine learning practically and effectively. Define and develop robust ML infrastructure, including model tracking, CI/CD pipelines, deployment practices, and A/B testing frameworks. Continuously explore and More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware … systems. We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement … optimise, and scale RAG pipelines for effective information retrieval from structured and unstructured sources. Model Fine-Tuning & Training : Train domain-specific models using techniques like LoRA, QLoRA, PEFT, reinforcement learning, and supervised fine-tuning (SFT). Model Deployment & Inferencing : Optimise model serving and inference using vLLM, DeepSpeed, TensorRT, Triton, and other acceleration frameworks. Multi-Agent Systems : Develop and integrate More ❯

An exceptional opportunity to join an innovative, high-growth organisation shaping the future of AI-powered automation and digital interaction. We’re seeking a Machine Learning Engineer with full-stack development experience to work on cutting-edge projects involving Generative AI , Retrieval-Augmented Generation (RAG) , and multi-agent reasoning frameworks . This is a hands-on, end More ❯

SENIOR MACHINE LEARNING ENGINEER - MLOPS REMOTE (Travel to London once per month) Up to £75,000 + £5,000 bonus + strong pension COMPANY: We are working with a leading telecoms/mobile network who are looking to change the game when it comes to the service it provides its customers. They are looking for an MLOps … Engineer that is passionate about tech and working within a fast paced environment. ROLE: Design, build, and deploy scalable machine learning models to solve complex business problems. Implement and maintain robust MLOps pipelines, ensuring efficient CI/CD processes for machine learning. Automate the deployment and monitoring of models in production to ensure continuous performance and … stability. Collaborate closely with data scientists, helping them move models from development to production seamlessly. Monitor and troubleshoot machine learning models in production environments, ensuring uptime and accuracy. Develop best practices around model versioning, testing, and governance. Stay up-to-date with the latest developments in ML engineering, cloud services, and automation tools. REQUIREMENTS: 4+ years of experience More ❯

Senior Machine Learning Engineer 📌 Industry: Insurtech 🏢 Company size: Approximately 200 employees 🌍 Working environment: Hybrid (2 days a week in Central London) 💷 Salary: Up to £110K based on experience + bonus Are you passionate about building innovative technology solutions using cutting-edge AI? Do you want to play a critical role in shaping products that can make a … meaningful impact on people's lives? We're looking for an experienced Senior Machine Learning Engineer to join an exciting team that's reshaping their industry. This unique opportunity is focused specifically on AI Engineering, rather than traditional ML engineering, with a strong emphasis on LLM Ops. What you'll do: Develop and refine advanced machine learning models to solve complex challenges. Leverage your NLP expertise to build intelligent solutions, including working with Large Language Models (LLMs). Design and deploy scalable, production-ready AI systems. Collaborate with product managers, data scientists, developers, and DevOps teams in a dynamic, cross-functional environment. Implement CI/CD practices, ensuring seamless and reliable model deployments. What More ❯

the right pay and keep your profile in our database for future opportunities as well. This role is an excellent opportunity for professionals experienced in designing, training, and deploying machine learning models that solve real-world problems. If you're passionate about artificial intelligence, model optimization, and production-grade deployment we encourage you to apply. Remote machine learning roles are in high demand and limited supply in the UK, and our service is 100% free for all UK applicants. Applying through Talent Hero gives you access to global opportunities without navigating the typical hiring grind. Youll work alongside US product, data, and engineering teams to build scalable ML pipelines and turn advanced algorithms into business … value. We are looking for Machine Learning Engineers who are technically sharp, production-minded, and excited to push the boundaries of intelligent systems. Responsibilities Design, build, and deploy machine learning models to solve complex business problems Develop scalable data pipelines for training, testing, and deploying models Collaborate with data scientists, product teams, and software engineers to More ❯

MLOps Engineer | Python | Machine Learning | GCP | Kubernetes | CI/CD | Remote, UK About Us We are an early-stage biotechnology company using live cell imaging and artificial intelligence to predict stem cell behavior. Our goal is to improve the manufacturing of human cells for research and therapeutic use by enabling a deeper understanding of cell differentiation. Founded … platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time More ❯

MLOps Engineer | Python | Machine Learning | GCP | Kubernetes | CI/CD | Remote, UK About Us We are an early-stage biotechnology company using live cell imaging and artificial intelligence to predict stem cell behavior. Our goal is to improve the manufacturing of human cells for research and therapeutic use by enabling a deeper understanding of cell differentiation. Founded … platform that enables scientists to visualize, track, and predict cell differentiation in real-time. Designed to support high-throughput experiments, the platform integrates microscopy, computer vision, cloud infrastructure, and machine learning to accelerate advancements in cell biology and biomanufacturing. We are currently seeking a DevOps/MLOps Engineer to help scale our cloud infrastructure and machine learning workflows as part of our growing technical team. Key Responsibilities Develop and maintain infrastructure for our SaaS platform that delivers AI-driven computer vision tools to researchers and scientists. Collaborate with a multidisciplinary team of machine learning engineers, data scientists, software developers, and biologists. Build and support GPU-accelerated environments for training and real-time More ❯

Job Title: Machine Learning Engineer Location: London (1 days per week onsite) - Flexible Salary: £45,000 DOE + Benefits Our Data Analytics business continues to grow and we are now looking for an experienced and technical Machine Learning (ML) Engineer to join one our offices with hybrid or remote UK working. This is an … and would most likely suit someone with previous experience in a similar role where they have gained knowledge and experience of designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. You must have good technical knowledge of Phyton, SQL, CI/CD and familiar with Power BI. A FTSE … valuable and timely insights from data. This enables the consultant to better advise Trustees and Corporate clients on a wide range of actuarial-related areas. The Role As a Machine Learning Engineer you will: Model development. Work collaboratively with actuarial analysts to develop machine learning and statistical models to predict outcomes, related to pension schemes More ❯

Location: London, UK (3 days in office) SC Cleared: Required Job Type: Full-Time Experience: 10 –15 years (Relevant exp 5+ years) Job Summary: We are seeking an experienced Machine Learning Engineer with expertise in big programmes and has contributed to the delivery of complex business cloud solutions. The ideal candidate will have a strong background in … Machine Learning engineering and an expert in operationalising models in the Databricks MLFlow environment (chosen MLOps Platform). Responsibilities: Collaborate with Data Scientists and operationalise the model with auditing enabled, ensure the run can be reproduced if needed. Implement Databricks best practices in building and maintaining economic modelling (Machine Learning) pipelines. Ensure the models are modular. More ❯

Royal Veterinary College, we’re building a connected ecosystem for pet health that empowers veterinarians, insurers, and pet parents alike. The Role - Purpose We are looking for an experienced Machine Learning/Data Engineer to join the team - someone who is a collaborative doer and is eager to learn from and work with some of the leading … minds in clinical machine learning and veterinary health data. This is a technical, delivery focused role that blends engineering responsibility with practical involvement in the essentials of getting data into product. You will need a good background in engineering practices for machine learning in the signal processing space. You’ll like working in a small team … Help bridge product development team and data science lab. What We’re Looking For Qualifications and experience Must haves: Demonstrated (4-6 years minimum) industry experience. Applied understanding of Machine Learning and Signal Processing working with time series analysis, data from sensors including irregular sample handling, filtering techniques, feature extraction from raw signals (e.g., accelerometery, ECG, temperature). More ❯

Hiring: Snr. Databricks ML Engineer 📍 Remote (UK-based) | 💰 Up to £110,000 We’re working with a cutting-edge AI consultancy who are scaling their ML team with a key hire: a Senior Databricks ML Engineer who’s as comfortable in pre-sales conversations as they are deploying models to production. 🧠 You’ll be someone who: Has deep … be using: Python, SQL, Spark, R MLflow, vector databases GitHub/GitLab/Azure DevOps Jira, Confluence 🎓 Bonus points for: MSc/PhD in ML or AI Databricks ML Engineer (Professional) certified More ❯

Role: Machine Learning Engineer Location: London, UK Is it Permanent/Contract: Perm Is it Onsite/Remote/Hybrid: Hybrid Job Description : Skilled Machine Learning Engineer with strong experience in AWS cloud services, and proven ability in integration and development of ML solutions. The ideal candidate will collaborate closely with data scientists, developers … and DevOps teams to design, deploy, and maintain scalable machine learning systems in production. Key Responsibilities: Design, develop, and deploy machine learning models in production environments using AWS services (e.g., SageMaker, Lambda, EC2, S3, EKS, etc.). Build scalable data pipelines for training and inference using AWS Glue, Step Functions, and other ETL tools. Integrate ML More ❯

Machine Learning Engineer London (Hybrid) Up to £65,000 Greenfield work One of La Fosse’s best clients are currently seeking a talented ML Engineer for their greenfield AI team. Join a cutting-edge innovation department within a fast-paced financial environment, helping to shape the next generation of intelligent compliance tools. I’m looking for … a Machine Learning Engineer to join a small & agile development team focused on building out a greenfield AI-powered transaction monitoring platform. You'll work on everything from ML model development and GenAI summarisation pipelines to MLOps and multi-agent systems—with real-world impact on financial security and compliance. What You’ll Do: Develop and deploy … machine learning models for anti-money laundering and counter-terrorist financing. Contribute to dynamic monitoring systems using tools like TensorFlow, OpenAI, and LangChain. Help design GenAI pipelines and consensus mechanisms across a distributed agent system. Work alongside DevOps to build scalable, automated ML deployment pipelines. Write clean, well-documented code using Python and modern tooling (gRPC, Alembic, Pytest More ❯

Senior Machine Learning & MLOps Engineer 💰 £110,000-£120,000 + up to 10% bonus 🖥️ MLOps, Python, Terraform 🌍 London, one day a week in office 🦄 UK tech unicorn We are partnered with one of the UK's most profitable and exciting Insurtech companies who have reached a valuation of over $1BN. This will be their first ML/… Model lifecycle: You’ve got hands-on experience with managing the ML model lifecycle, including both online and batch processes. Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work. Python: You have built and deployed production-grade Python applications and you are familiar with data science … cloud data warehouses like Snowflake. Version control: You are proficient with git. If you are interested in finding out more, please apply or contact me directly! 📧 jordanf@burnssheehan.co.uk Senior Machine Learning & MLOps Engineer 💰 £110,000-£120,000 + up to 10% bonus 🖥️ MLOps, Python, Terraform 🌍 London, one day a week in office 🦄 UK tech unicorn More ❯

Lead/Senior Machine Learning Engineer £110,000-£120,000 Bonus up to 10% Shares so as they continue to grow you benefit to Hybrid working - one day a week London (with door always open policy) Are you a innovative, decisive Machine Learning Engineer looking for your next challenge? This is your chance to … join a marquee name within the fin-tech space looking to add their first Machine Learning Engineer to the business, this will require you to be a key individual contributor with the ability to make decisions yourself. Within the role you will drive innovation by optimising and automating Pricing processes to enable faster, more accurate decision-making. … Model lifecycle: You’ve got hands-on experience with managing the ML model lifecycle, including both online and batch processes Statistical Methodology: You have worked with GLMs and other machine learning algorithms and have in-depth knowledge of how they work Python: You have built and deployed production-grade Python applications and you are familiar with data science More ❯

Social network you want to login/join with: Machine Learning Engineer - Generative AI, london (city of london) col-narrow-left Client: Qubit Analytics Location: london (city of london), United Kingdom Job Category: Other - EU work permit required: Yes col-narrow-right Job Views: 3 Posted: 16.06.2025 Expiry Date: 31.07.2025 col-wide Job Description: Company Description We … time image-to-image transformation models, with a special focus on 3D applications and rendering engine integration . Leveraging the latest in GANs, diffusion models, and large-scale deep learning, our research-driven team values autonomy, creativity, and technical excellence. Join us to help shape the future of real-time 2D/3D generative AI in a highly collaborative … and innovative environment. Role Description We are seeking a Machine Learning Engineer – Generative AI to join our onsite team in London. In this role, you will design, implement, and optimize advanced generative AI models for real-time image and 3D applications, collaborating closely with experts in computer graphics and rendering. You’ll have the opportunity to work More ❯

supporting our clients’ policies. Renowned for our “nothing is impossible” ethos, we prioritize trust, transparency, and innovation in everything we do. About the Role: We are looking for a Machine Learning Engineer with Data Engineering expertise to help scale our platform. In this hybrid role, you’ll design data pipelines, develop ML models, and work across data … s capabilities. If you thrive in a collaborative, fast-moving environment and want to make a real-world impact, we’d love to hear from you! Scope of Work: Machine Learning Engineering • Design, develop, evaluate, and deploy machine learning models for production. • Optimize model performance based on key metrics for scalability, reliability, and real-world impact. … to data pipelines, ML workflows, and system reliability. • Ensure seamless integration of new ML models and data-driven features into production. Your Profile: Experience in both data engineering and machine learning, with a strong portfolio of relevant projects. Proficiency in Python with libraries like TensorFlow, PyTorch, or Scikit-learn for ML, and Pandas, PySpark, or similar for data More ❯

Senior MLOps Engineer | Established Bank in London | £90,000-£ 95,000 base + Bonus | Hybrid We are looking for an experienced MLOps Engineer in London to join an established Banking client who have multiple offices around the UK. They have allocated a ton of investment to propel their AI & Cloud transformation and this role will be the first More ❯

Senior Engineer - ML Generalist London (Hybrid/Remote) Competitive Salary (Open to all levels) We are partnered with an exciting new AI startup backed by the same VC behind Revolut. They are revolutionizing the way people interact with AI-powered creativity, building cutting-edge multimodal LLM-based agents and GenAI workflows for image, video, and 3D applications. Their team More ❯

Founding Machine Learning Engineer - AI Start-Up (On-Site | Equity + Salary) A rare opportunity to join one of London’s most exciting AI start-ups at the ground level! Backed by top-tier investors and led by a world-class founding team from Oxford, Cambridge, and Imperial , this company is pushing the boundaries of applied AI. … They’re now looking for a Founding Machine Learning Engineer to join the core technical team and lead the development of their ML systems from the ground up. 🤖 About the Company: Founded by experienced operators with multiple AI start-up successes under their belts, this venture is already attracting serious attention. With strong financial backing and a … world problems. This is not just another AI start-up - it’s a company where cutting-edge research meets practical, scalable product development. 🧠 The Role: As a founding ML engineer, you’ll be deeply involved in shaping the entire ML pipeline - from research and prototyping to model deployment and optimisation. You’ll work closely with product and engineering to More ❯

role. Join a high performing team of applied AI experts to drive innovation and new capabilities in the Commercial & Investment Bank. As an Applied AI/ML Senior Associate Machine Learning Engineer in the Applied AI ML team at JPMorgan Commercial & Investment Bank, you will be at the forefront of combining cutting-edge AI techniques with the … opportunity to advance the state-of-the-art in AI as applied to financial services, leveraging the latest research from fields of Natural Language Processing, Computer Vision, and statistical machine learning. You will be instrumental in building products that automate processes, help experts prioritize their time, and make better decisions. We have a growing portfolio of AI–powered products … understanding of both mindsets. Job responsibilities Build robust Data Science capabilities which can be scaled across multiple business use cases Collaborate with software engineering team to design and deploy Machine Learning services that can be integrated with strategic systems Research and analyse data sets using a variety of statistical and machine learning techniques Communicate AI capabilities More ❯