1 to 25 of 2,592 Permanent Machine Learning Jobs in the UK

Machine Learning Engineer Join the analytics team as a Machine Learning Engineer in the insurance industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward-thinking … environment. Client Details Machine Learning Engineer This opportunity is with a medium-sized organisation in the insurance industry. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Machine Learning Engineer Design ...

Machine Learning Engineer Join the analytics team as a Machine Learning Engineer in the insurance industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward-thinking … environment. Client Details Machine Learning Engineer This opportunity is with a medium-sized organisation in the insurance industry. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Machine Learning Engineer Design ...

Machine Learning Research Engineer - NLP/LLM An incredible opportunity for a Machine Learning Research Engineer to work on researching and investigating new concepts for an industry-leading, machine-learning software company in Cambridge, UK. This unique opportunity is ideally suited to those with … cutting-edge, machine-learning software A good remuneration and benefits package Applications: If you would like to apply for this unique ML Engineer opportunity, we would love to hear from you. Please send an up-to-date CV via the relevant link. Were committed to creating an inclusive ...

Machine Learning Operations Engineer Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered for the role you must have … within the company. Technical Skills required Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity ...

Machine Learning Operations Engineer Our financial services client based in London is looking to recruit a Machine Learning Operations Engineer ASAP. The position will be a Hybrid role be working from home and their offices in London. To be considered for the role you must have … within the company. Technical Skills required Previous experience in designing, building, optimising, deploying and managing business-critical machine learning models using Azure ML in Production environments. Experience in data wrangling using Python, SQL and ADF. Experience in CI/CD and DevOps/MLOps and version control. Familiarity ...

develop, and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love … perfect opportunity to kickstart your career. What You’ll Be Doing You’ll play a key role in helping our team develop and deliver ML-powered solutions: Model Development : Assist in building and training machine learning and deep learning models using Python and ML frameworks like TensorFlow ...

/Machine Learning Engineer/Staff Machine Learning/Location: UK (Hybrid or Remote options available) Salary: £60,000 £100,000 per annum (depending on experience) Type: Permanent Recruitment Partner: 167 Solutions Ltd The Opportunity 167 Solutions is working with a forward-thinking organisation that … investing heavily in artificial intelligence and data-driven products. This role sits at the heart of that growth and will suit an AI/Machine Learning Engineer who enjoys taking models from concept through to production. You will work closely with software engineers, data teams, and product stakeholders ...

robust and scalable data pipelines for feature engineering and model training utilising both structured and unstructured large-scale datasets. Production Deployment: Deploy and supervise ML models in production environments, ensuring high availability, optimal performance, and continued relevance. Experimentation: Lead the design and analysis of A/B tests and offline … full lifecycle of machine learning, from model development, deployment and serving to monitoring and maintenance. Advanced proficiency in Python and knowledge of ML libraries/frameworks (e.g., TensorFlow, PyTorch). Experience using ML Training frameworks (e.g., TFX, Kubeflow Pipelines SDK) and Model Serving technologies (eg. Tensorflow Serving, Triton ...

Machine Learning Engineer/ML Engineer Machine Learning Development Design and implement machine learning models for financial applications, with a focus on pricing and risk analytics Build scalable ML pipelines for processing large-scale financial data Develop deep learning architectures for time series … model performance through advanced techniques including hyperparameter tuning, ensemble methods, and neural architecture search Collaborate with quants to understand pricing model requirements and identify ML opportunities Develop data-driven approaches to complement traditional quantitative finance models Support implementation of ML solutions for derivatives pricing and risk management Core Technical Skills ...

intersection of data science, engineering, and commercial strategy, working closely with our product and core engineering teams to translate business challenges into deployable ML solutions. You'll have the autonomy to experiment, iterate, and bring ideas to production that directly impact revenue and user engagement. This role would suit … Machine Learning Engineer with at least three years commercial ML/AI experience gained working In a mission focussed, product led business. In return this ML Engineer will receive extensive growth and personal development opportunities as the business transitions away from legacy engineering practices. This ML Engineer based ...

just analyse data; you'll answer the critical questions that drive our strategy. We're looking for someone to use advanced data science and machine learning to uncover the 'why' behind customer behaviour, such as identifying complex churn triggers for our energy customers. You will also develop … Acquisition Cost (CAC). This isn't a research role. We need a "full-stack" data scientist who can own the end-to-end ML lifecycle. You will take your ideas from initial Proof of Concept (POC) and exploratory analysis all the way through to building, deploying, and maintaining production ...

metal components are conceived, tested, and produced - enabling breakthroughs in aerospace, energy, and beyond. This is a rare chance to apply your ML expertise to problems that have a tangible, physical impact - from inventing new alloys to optimising complex manufacturing processes. You'll collaborate with leading data scientists, engineers … materials researchers to build models that drive real-world innovation. Expect to design, validate, and deploy state-of-the-art ML pipelines that move seamlessly from concept to production. If you thrive in fast-paced, intellectually charged environments where every model could change an industry, you'll fit right in. ...

established data function, working on real production workloads rather than prototypes. You'll play a key role in shaping how intelligent automation, LLMs and ML-driven services are designed, deployed and continuously improved. What you'll be working on * Designing and delivering Gen AI and LLM-driven applications* Building … maintaining machine learning pipelines and data workflows* Developing cloud-native (serverless) ML components within a distributed engineering team* Improving existing ML systems and identifying opportunities for optimisation* Supporting sprint planning, estimation and shaping a healthy product backlog What you'll need to bring * Strong hands-on Python skills ...

processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering … workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks, and implementing ...

processing, and building robust automation scripts with proper logging, testing (pytest), and documentation. AI & Machine Learning Frameworks - Deep expertise in AI/ML frameworks including TensorFlow, PyTorch, Scikit-learn, and Hugging Face Transformers. Experience building, training, and deploying machine learning models for classification, regression, clustering … workflows, scheduling tools (Azure Data Factory), and ensuring data quality for machine learning applications. Machine Learning Operations (MLOps) - Experience deploying ML models to production environments using containerisation (Docker), orchestration (Kubernetes), model versioning (MLflow, DVC), monitoring model performance and drift, A/B testing frameworks, and implementing ...

Machine Learning Lead, youll be a hands-on Machine Learning Engineer with a strong track record of building and deploying ML solutions at scaleparticularly in NLP and GenAI. You will: Design, develop and scale NLP and GenAI capabilities to optimise business processes. Build out a robust … GenAI application technology stack, from experimentation through to production. Develop, maintain and improve existing ML pipelines, data transformation workflows and MLOps practices. Create serverless data/ML pipelines in cloud environments (Azure preferred). Work closely with architects, senior developers, product owners and business analysts to shape requirements, solution design ...

with prompt engineering, RAG architectures, and multimodal models. Contribute to internal tools for monitoring, testing, and improving AI performance. Stay on the edge of ML/AI research — we give you time and resources to explore, learn, and publish. What We’re Looking For 0–3 years of experience … environment. Is curious, ambitious, and eager to build real AI systems that have an impact. What You’ll Get Hands-on mentorship from senior ML engineers, AI researchers, and founders. Freedom to experiment with state-of-the-art models, tools, and frameworks. Modern tech stack (Python, LangChain, Hugging Face, OpenAI ...

Machine Learning Engineer Location: Remote - UK Permanent Salary: £90-100K per year + benefits Start Date: Immediate WRK digital is proud to partner with a fast-growing technology startup building solutions that combine human expertise and AI agents to automate complex operational workflows. The organisations mission … Virtual Agent platform in line with product strategy. Ensure AI services maintain high standards of performance, reliability, and scalability. Participate in internal ML community, influencing how we implement AI and computer vision technologies. Take ownership of customer outcomes and contribute across software engineering, DevOps, and MLOps functions. About You Were ...

tools that can work alongside human analysts. CANDIDATE PROFILE We are seeking a highly skilled Senior Research Associate, to conduct internationally leading research in machine learning, with applications to intelligence analysis. This role will involve investigating and developing methods that will allow deep learning models to identify subsets of data with the highest potential for reducing uncertainty of model outputs, leveraging and building on existing methods in ML explainability, interpretability, and uncertainty quantification. The ideal candidate will be experienced working with stakeholders and guide more junior members of the team. Eligibility for Security ...

C++/Embedded Software/ML/Machine Learning/Python Senior 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 … 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. ...

C++/Embedded Software/ML/Machine Learning/Python Senior 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 … 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. ...

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 … 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. ...

accelerate materials innovation and transform manufacturing. Role Overview We are seeking a Machine Learning Engineer to design, develop, and validate novel ML models that optimise manufacturing processes and material composition. You will collaborate closely with process engineers and materials scientists, identifying meaningful features and translating complex datasets into … impactful insights. You will also help advance our internal ML platforms to support model adoption and scale. In this role, you will: Build robust ML and MLOps pipelines for scalable, reproducible model development, deployment, and monitoring. Use tools such as Airflow for workflow orchestration and MLflow for experiment tracking, model ...

semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live production environments. Contribute to the architecture and evolution of the AI platform and supporting data infrastructure. … Stay current with emerging research, tools, and best practices across ML and Generative AI. What We're Looking For Essential 5+ years' experience in machine learning engineering or applied AI roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems . Strong Python skills ...

engineers. The role spans research, prototyping, and deployment of machine learning systems across diverse real-world applications.You will contribute to the full ML development cycle, including ideation, data preparation, rapid prototyping, model design, evaluation, and packaging solutions into client-ready demonstrators and products. Key Responsibilities Design, develop … deploy machine learning models for novel or complex problems. Research and experiment with emerging model architectures and ML technologies. Build rapid prototypes and assess feasibility for real-world applications. Work across disciplines, integrating science, engineering, and machine learning. Solve technical challenges across the entire ML pipeline ...