101 to 125 of 128 Machine Learning Engineer Jobs in England

Senior Machine Learning/AI Engineer Position Overview: We are seeking a Senior Machine Learning/AI Engineer with expertise in Databricks, MLOps/LLMOps, and cloud-native architecture . The candidate must have recent experience implementing data science solutions in Databricks and be comfortable deploying web applications via containerized workflows (Docker, Kubernetes). … This role involves building scalable AI/ML systems, deploying LLMs, and operationalizing models in production. Key Responsibilities: Design, develop, and deploy ML, Deep Learning, and LLM solutions. Implement scalable ML and data pipelines in Databricks (PySpark, Delta Lake, MLflow). Build automated MLOps pipelines with model tracking, CI/CD, and registry. Deploy and operationalize LLMs , including fine More ❯

Senior Machine Learning/AI Engineer Position Overview: We are seeking a Senior Machine Learning/AI Engineer with expertise in Databricks, MLOps/LLMOps, and cloud-native architecture . The candidate must have recent experience implementing data science solutions in Databricks and be comfortable deploying web applications via containerized workflows (Docker, Kubernetes) click More ❯

strong engineering foundation and a clear commercial vision, the company is now expanding its focus on artificial intelligence to transform how professional services operate. They are seeking a Senior Machine Learning/LLM Engineer to take ownership of LLM operations, multi-agent orchestration, and production-level AI integration across their product suite. This is a key role … for an experienced engineer who can deliver real-world AI systems at scale. The Role The successful candidate will design, deploy, and maintain production-grade AI and LLM systems, ensuring stability, scalability, and measurable impact. This position suits someone with solid experience in deploying and managing live AI systems rather than proofs of concept. Responsibilities include: • Developing and maintaining … up style setting. They combine solid engineering skills with the ability to think strategically about architecture and commercial outcomes. Essential experience and skills: • Demonstrable production experience with LLM and machine learning systems. • Hands-on knowledge of Langfuse, LiteLLM, OpenAI, or Azure OpenAI. • Familiarity with graph databases, ideally Neo4j. • Experience in cloud environments, containerisation, and CI/CD pipelines. More ❯

AI/ML Engineer – Applied AI for Real-World Impact Location: Nottingham (Hybrid – 2 days per week on-site) I’m partnering with a fast-growing AI company that originated from leading academic research and now works with major brands, including Boots. They’re looking for an experienced AI/ML Engineer to help design, build, and scale … intelligent systems that make a genuine difference across healthcare, mobility, and retail. You’ll work across the full machine learning lifecycle, from experimentation and data pipelines through to deployment and monitoring. This role is ideal for someone who wants to take cutting-edge ML research and turn it into production systems that reach millions of users. Key Responsibilities … product teams to deliver scalable, explainable AI solutions Contribute to MLOps best practices, experimentation frameworks, and model governance What They’re Looking For: Strong academic background in Computer Science, Machine Learning, or a related field (Master’s or PhD preferred) Proven experience developing and deploying ML models in real-world applications Solid coding and data skills (Python, SQL More ❯

Job Overview: The mission of the Central Technology ML (CTML) team is to pioneer and implement the technology roadmap that paves the way for the future of machine learning computing on Arm architecture. We believe that innovative ML technology necessitates joint development across hardware, software, and ML algorithms. We will collaborate on what is the best way to … balance among all these constraints. As a member of the CTML Content and Algorithm team, the candidate will play a key role within the Center of Excellence for Machine Learning. They will actively contribute to this joint development initiative, conducting in-depth analyses of complex neural networks on ARM's computing platforms and devising algorithms that will elevate us … in computer architecture, with basic knowledge of hardware and software design. Experience developing and working with large software systems, especially in Python. Knowledge of state-of-the-art deep learning libraries such as TensorFlow and PyTorch. Experience training large deep learning models on GPU-based systems. Nice To Have Skills and Experience: ML Model Optimization techniques targeted for More ❯

I’m working with a top AI firm hiring Senior Software Engineers into their R&D team, building systems that push the limits of computer vision, deep learning, and autonomous vehicle/machinery. You’ll be joining brilliant minds from Tesla, Google DeepMind, NVIDIA and more. 💼 Role: Senior Machine Learning Engineer – Robotics 🌍 Location: London (onsite) 💸 Package … Negotiable + stock options What you’ll be doing Training policies via representation learning, behaviour cloning & RL from data to deployment. Building pipelines that fuse vision, language, audio, proprioception & 3D data. Scaling distributed training + optimising models for real-time edge inference. Helping shape how intelligent systems learn and act in the real world. What we’re looking for … 3+ years developing deep learning systems with shipped models or published research. Hands-on with Vision Language Models, LLMs or generative models. Strong Python + PyTorch/JAX skills (debugging, profiling, shipping). Passion for bridging the gap between simulation and reality. This is one of the most exciting and technically challenging roles I’ve see with the chance More ❯

Overview Chambers and Partners is transforming how the world’s leading legal professionals access insight and intelligence and we’re looking for a Senior AI Engineer to help drive that innovation. In this pivotal role, you’ll design, develop, and deploy advanced AI and machine learning solutions that power our next generation of products and research capabilities. … entity recognition, and relationship extraction. Design and implement intelligent tagging and metadata enrichment frameworks to categorize and organize legal and market data, improving search, discoverability, and insight accuracy. LLM & Machine Learning Application Engineering Design, build, and maintain traditional ML and LLM models and pipelines . Build LLM apps using LangGraph/LangChain : tools/function calling, structured outputs More ❯

Senior Quant Machine Learning Engineer sought by leading investment bank based in the city of London. **Inside IR35, 4 days a week on site** The role:To lead the design and deployment of ML-driven models across our trading and investment platforms. This is a high-impact, front-office role offering direct collaboration with traders, quant researchers … and scalable model infrastructure for production deployment Mentor junior quants and engineers; contribute to knowledge-sharing and model governance processes Stay current with cutting-edge ML research (e.g., deep learning, generative models, reinforcement learning) and assess applicability to financial markets Collaborate closely with cross-functional teams, including traders, data engineers, and software developers What We're Looking For … fund, or tech firm Advanced degree (PhD or Master's) in Computer Science, Mathematics, Physics, Engineering, or related discipline Strong expertise in modern ML techniques: time-series forecasting, deep learning, ensemble methods, NLP, or RL Expert-level programming skills in Python and strong understanding of software engineering best practices Experience deploying ML models to production in real-time or More ❯

Development to Mechanical and Chemical Engineering, offering opportunities for talented individuals who want to shape the future of materials and their applications in high-impact industries. As a Staff Machine Learning Engineer at Orbital, you will architect cutting edge AI systems for the multi-scale design of physical technologies. When we say multi-scale, we mean it … management; you will be dedicated to mentoring and fostering the growth of your team. First and foremost, we want to work with someone with a love of craftsmanship, continual learning, and building systems that scale. We also value low ego, and a genuine passion for using AI to solve major global industrial technology challenges. Key Responsibilities Set the technical … develop and lead technical talent Provide technical leadership, mentorship and career development for AI engineers Manage the intake and development of AI residency programme participants Foster a culture of learning, curiosity and first-principles problem solving Build a high-performing team that can independently tackle complex, novel problems What We're Looking For 5+ years of professional experience in More ❯

Lead ML Engineer - Onsite 5 days a week - London Happy to look at European relocators An Edtech Start-up in London are building something transformative in the education space using cutting-edge machine learning. We're looking for a Lead ML Engineer to take ownership of the machine learning strategy, build out the team, and More ❯

Lead ML Engineer - Onsite 5 days a week - London Happy to look at European relocators An Edtech Start-up in London are building something transformative in the education space using cutting-edge machine learning. We're looking for a Lead ML Engineer to take ownership of the machine learning strategy, build out the team, and More ❯

AI Engineer – Confidential Biomedical Intelligence Platform (London) Salary between £90,000 - £130,000 (depending on seniority) We’re representing a rapidly growing healthtech company headquartered in London with global reach, operating at the cutting edge of biomedical knowledge discovery. Their mission is to transform how researchers and clinicians access, interpret, and act on scientific and clinical data—accelerating breakthroughs … relationships, therapeutic insights, and patient stratification opportunities. They are now expanding their engineering team to scale this capability across new therapeutic areas and geographies. Role Overview As an AI Engineer, you’ll be embedded in a cross-functional team of researchers, data scientists, and product designers working to build intelligent systems that extract and reason over biomedical knowledge. You … ll help design and deploy machine learning models that power real-time decision support tools for clinicians, researchers, and life sciences partners. This is a hands-on role for someone who thrives in ambiguity, enjoys building from first principles, and wants to see their work directly impact healthcare outcomes. Responsibilities Develop and deploy ML/NLP algorithms that More ❯

AI Engineer – Confidential Biomedical Intelligence Platform (London) Salary between £90,000 - £130,000 (depending on seniority) We’re representing a rapidly growing healthtech company headquartered in London with global reach, operating at the cutting edge of biomedical knowledge discovery. Their mission is to transform how researchers and clinicians access, interpret, and act on scientific and clinical data—accelerating breakthroughs … relationships, therapeutic insights, and patient stratification opportunities. They are now expanding their engineering team to scale this capability across new therapeutic areas and geographies. Role Overview As an AI Engineer, you’ll be embedded in a cross-functional team of researchers, data scientists, and product designers working to build intelligent systems that extract and reason over biomedical knowledge. You … ll help design and deploy machine learning models that power real-time decision support tools for clinicians, researchers, and life sciences partners. This is a hands-on role for someone who thrives in ambiguity, enjoys building from first principles, and wants to see their work directly impact healthcare outcomes. Responsibilities Develop and deploy ML/NLP algorithms that More ❯

paced environment big problems ignite us-we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment … closely with Research teams to integrate training efficiency improvements and create a culture of performance optimization About you In order to set you up for success as a ML Engineer (Training Performance) at Wayve, we're looking for the following skills and experience. Essential Experience optimize large scale training jobs on GPU compute clusters. Experience in working in platform … in reporting and tracking over time benchmarked performance in an open and accessible way. Ability to write high quality, well-structured and tested Python code BS or MS in Machine Learning, Computer Science, Engineering, or a related technical discipline or equivalent experience Desirable Solid experience working with concurrent, parallel and distributed computing. Experience using Nvidia NSight Systems. Experience More ❯

etc. Exposure to infrastructure-as-code tools like Terraform or containerization technologies such as Docker. Familiarity with Typescript to understand and work with existing codebases. Interest in aspects of machine learning operations (MLOps), integrating models, and developing data-driven products. Additional Notes What The More ❯

You have 6+ years of experience in software engineering with at least 3+ years of experience in ML/AI engineering or NLP-related software development. You are an engineer at heart, you enjoy building working systems more than writing research papers. You have strong Python skills and experience in building and maintaining production systems. You have hands-on … to make high-quality education creation accessible to everyone. Company Synthesia Language requirements Specific requirements Educational level Level of experience (years) Senior (5+ years of experience) Tagged as: Industry, Machine Learning, NLP, United Kingdom More ❯

Senior LLM Engineer – London | Hybrid (2 days per week on-site, Bank area) My client is a long-established consultancy that originally built its reputation in data engineering and wider data transformation, and over the past few years has grown a strong applied AI practice. They tend to work with UK organisations where data security, reliability and explainability actually More ❯

Senior LLM Engineer – London | Hybrid (2 days per week on-site, Bank area) My client is a long-established consultancy that originally built its reputation in data engineering and wider data transformation, and over the past few years has grown a strong applied AI practice. They tend to work with UK organisations where data security, reliability and explainability actually More ❯

Lead ML Engineer 📍 London (3 days a week) | 💰 £100k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead/Senior ML/ More ❯

Lead ML Engineer 📍 London (3 days a week) | 💰 £100k–£135k + EMI shares | ❌ No sponsorship I’m partnered with a scaling AI consultancy and product company that works with global enterprises to design and deliver cutting-edge Generative AI solutions. They have partnerships with renowned tech firms - adding commmercial value. They’re looking for Lead/Senior ML/ More ❯

Job Title: ML Engineer (AI) Location: London (Hybrid – 3 days in office) Industry: Media, Campaign Media, AI/Data Tech: Python, Data engineering, pipelines, BigQuery, SnowFlake Salary: £60-70k *Unfortunately, Visa sponsorship is not on offer for this position. About the Role We’re hiring an AI Data Engineer to help build the next generation of intelligent … impact data systems used by major global clients. Clear career progression as the data team expands. Hybrid working with 3 days a week in our central London office. Annual learning budget for technical training, conferences, and AI/ML development. More ❯

Job Title: ML Engineer (AI) Location: London (Hybrid – 3 days in office) Industry: Media, Campaign Media, AI/Data Tech: Python, Data engineering, pipelines, BigQuery, SnowFlake Salary: £60-70k *Unfortunately, Visa sponsorship is not on offer for this position. About the Role We’re hiring an AI Data Engineer to help build the next generation of intelligent … impact data systems used by major global clients. Clear career progression as the data team expands. Hybrid working with 3 days a week in our central London office. Annual learning budget for technical training, conferences, and AI/ML development. More ❯

Platform or DevOps Engineering (Azure preferred) Strong experience with Kubernetes, Docker, and Terraform Programming or scripting skills in Python or Go Familiarity with GitOps, Helm, and observability tools A learning mindset and interest in LLM operations More ❯

understand and interact with the millions of lines of code that run Kraken, leveraging techniques at the cutting-edge of the technology like GraphRAG, agentic workflows, finetuning, and reinforcement learning Use classic ML and NLP techniques to complement and improve LLM systems Act as a center of excellence for the whole business in AI, as a floating resource that More ❯

Change Software Forever QA slows the world down. Flaky tests kill trust, stall releases, and bleed engineering velocity. Duku AI is ending that era. We’re building autonomous agents that think like engineers : they run every critical user journey, catch More ❯