1 to 25 of 996 Machine Learning Jobs in the UK

data infrastructure and machine learning technologies, the company is creating an environment where engineers can work on complex problems, develop scalable ML solutions, and collaborate closely with data scientists, engineers, and product teams. This is an exciting opportunity to join a high-performing team focused on delivering cutting … build, and deploy machine learning models into production environments. You will work closely with data scientists and software engineers to develop scalable ML pipelines, optimise model performance, and integrate machine learning capabilities into production systems. The role involves working with large datasets, building robust ML systems ...

processes giving Markerstudy a critical advantage in the increasingly competitive insurance market by minimizing the development to deployment and monitoring stages of the ML lifecycle through automation. You will also be responsible for refining, tuning, deploying and maintaining machine learning methods in our machine learning pipeline … customer-centric offerings across Motor, Home and Commercial Lines businesses. The successful candidate will also enjoy opportunities for leading, coaching, and mentoring more junior ML Engineers. Key Responsibilities: Report and communicate with Senior Stakeholders, such as the Head of Data Science and Machine Learning and Director of Technical ...

Graduate AI/Data Scientist/Machine Learning Engineer – Entry Level £28,000 – £35,000 | Hybrid Opportunities | North West/UK Are you a recent graduate looking to start your career in Artificial Intelligence, Machine Learning, Data Science or Software Engineering? We are currently working with … number of innovative technology organisations who are looking to recruit Graduate AI Engineers, Data Scientists and Machine Learning Engineers into their growing teams. This is an excellent opportunity for ambitious graduates who want to work with cutting-edge technologies including Artificial Intelligence, Machine Learning, Generative ...

advanced machine learning and computer vision models used within clinical research and drug development. The business is building large-scale, production-grade ML systems applied to complex 3D imaging data. This role is highly engineering-focused, sitting between machine learning, infrastructure and deployment. You will work … closely with ML Scientists and engineering teams to ensure models can be trained and deployed reliably at scale. Location: 1 day per week in London - Shepherd's Bush (4 days remote) Salary: £70,000 £90,000 per annum, with flexibility for the right candidate, plus benefits Requirements for Senior/ ...

applying modern machine learning techniques to complex scientific and engineering challenges. As a Machine Learning Engineer, you will develop advanced ML-driven applications that enhance the performance, stability, and sensitivity of next-generation technologies. Working closely with experimental scientists and hardware engineers, you will translate complex … process high-dimensional experimental and time-series datasets Train, validate, and optimise machine learning models using modern Python-based frameworks Integrate ML inference into real-time or near-real-time control environments Stay up to date with the latest developments in machine learning and sensor fusion ...

Machine Learning Engineer LOCATION- Reading TERM- Permanent SALARY- £60,000 to £90,000 per annum (plus benefits) My client is a technology-focused organisation developing advanced AI and data-driven solutions across a range of industries. They are looking to expand their technical team by hiring a Machine … models Preparing and processing datasets for model training and evaluation Improving model performance through experimentation and optimisation Collaborating with software engineers to integrate ML solutions into applications Researching and implementing new machine learning techniques where appropriate If you are interested in this position, please apply with ...

edge methods in AI, machine learning, and MLOps/LLMOps practices. You'll have the opportunity to: Work alongside leading data scientists, ML engineers, and AI researchers on national security projects Design, develop, and iterate on machine learning models for traditional ML use cases and GenAI …/LLM applications Explore and implement ML and LLM models on complex, multi-modal datasets Apply modern MLOps/LLMOps practices, including experiment tracking, versioning, and deployment on cloud platforms Influence technical direction and best practice in ML and AI engineering Mentor and support junior engineers and graduates Engage directly ...

+ Bonuses & Benefits Location: Cheltenham (3 days on-site per week) Security Clearance: Active Enhanced DV (West) Required Key Skills: Machine Learning, AWS/Azure, Python, NLP, AI Who We Are? We are seeking a highly skilled Data Scientist with enhanced DV clearance to join a globally recognised … techniques to solve complex challenges Conducting research and innovation to develop cutting-edge solutions Keeping up to date with the latest developments in ML and data technologies Engaging in the full data science lifecycle, from data collection to model deployment Producing clear and well-documented technical outputs Delivering high ...

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 … 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 ...

public sector programmes. Key Responsibilities: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through to training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery of ML models Collaborate with Data … Engineers and DevOps teams to ensure production readiness and scalability Contribute to architecture decisions for ML pipelines and data flows Apply secure coding and configuration practices in line with compliance standards Mentor junior engineers and share best practices across the team Support innovation by researching emerging ML techniques and tools ...

intersection of machine learning, computational science , and emerging hybrid computing architectures . The work focuses on algorithmic innovation , generative modelling , and benchmarking ML systems on cutting edge hardware platforms. You will contribute to the development of new machine learning algorithms designed for advanced computing systems that … extend beyond traditional GPU/TPU environments. The role involves close collaboration with researchers across ML, physics, and scientific computing, with a strong emphasis on generative models , numerical methods , and hybrid quantum classical approaches . Essential Experience Experience with heterogeneous computing hardware (HPC, NPUs, ASICs, quantum systems). Strong background ...

intersection of machine learning, computational science , and emerging hybrid computing architectures . The work focuses on algorithmic innovation , generative modelling , and benchmarking ML systems on cutting‑edge hardware platforms. You will contribute to the development of new machine learning algorithms designed for advanced computing systems that … extend beyond traditional GPU/TPU environments. The role involves close collaboration with researchers across ML, physics, and scientific computing, with a strong emphasis on generative models , numerical methods , and hybrid quantum‑classical approaches . Essential Experience Experience with heterogeneous computing hardware (HPC, NPUs, ASICs, quantum systems). Strong background ...

Graduate AI Integration Engineer, Machine Learning, Hybrid, COR7509 Are you a bright, ambitious graduate eager to kickstart your career in AI and machine learning? Join a forward-thinking team where you’ll explore how AI can transform products and processes, learning from real-world projects … tangible impact. The Role As a Graduate AI Integration Engineer, you’ll support AI initiatives across the business, helping identify opportunities to apply machine learning, assist in the design and implementation of AI-driven solutions, and contribute to evolving our product with innovative AI capabilities. This is your ...

Role:- Software Engineer - (Machine Learning/AI Research) Location: London, UK (hybrid, 3 days onsite) Contract: 6 months (extension possible) About the Role We are looking for a Software Engineer III (Machine Learning/Research Engineering) to join a cutting-edge AI research team based … cross-functional teams to define and execute research roadmaps Translate research insights into scalable engineering solutions Implement high-quality code using Python and modern ML frameworks Contribute to experimental design and evaluation of large-scale AI models Minimum Requirements 2+ years of experience in machine learning ...

youll have the opportunity to do as a Senior Machine Learning Engineer: Lead architecture and technical decisions for high-impact ML systems. Build production-grade ML software, tools, and scalable infrastructure. Define best practices for deploying ML at scale. Collaborate across teams to solve complex client challenges. Mentor … engineers and shape the teams technical culture. What we need from a Senior Machine Learning Engineer: Expert across the full ML lifecycle, with experience operationalising models in TensorFlow or PyTorch. Strong Python and software engineering skills, building robust, reusable ML systems. Hands-on cloud experience (AWS, Azure ...

problems via Machine Learning techniques? You could be progressing your career at a highly successful SaaS tech company that provides AI and ML products for automotive innovators to design better cars faster and achieve greater sustainability through Machine Learning. What's in it for you: Competitive salary … days holiday Complex and interesting work with continual learning opportunities Your role: As a Machine Learning Engineer you'll build the ML capabilities that power the product, typically you'll collaborate with the research team to productionise ideas that are ahead of the published literature, evaluating ...

Senior ML Engineer: Up to 115k Xcede is partnering with one of Europe’s leading applied AI organisations. The company collaborates with governments and major enterprises to address complex, high-impact challenges using machine learning and advanced data science techniques. One of the standout aspects of this organisation … looking to bring in Senior Machine Learning Engineers to join their Retail unit. The ideal candidate will have experience working as an ML Engineer within the Retail sector. In this role you will: Design and deploy machine learning systems that operate in real-world production environments ...

practical AI outcomes. What youll have the opportunity to do as a Lead Machine Learning Engineer: Set the technical direction for complex ML projects, balancing trade-offs and guiding team priorities. Design, implement, and maintain reliable, scalable ML systems, making sound architectural decisions. Define project problems, develop roadmaps … oversee delivery across multiple workstreams. Build reusable ML tools and libraries and guide the team in applying them effectively across projects. Lead hiring, mentor team members, and foster technical growth and collaboration. Advise clients as a technical expert, providing estimates and rationale for high-impact work. What we need from ...

company embarked on a dual collaboration with GSK to tackle fibrosis and osteoarthritis, while also advancing its internal osteoporosis programme. By combining cutting-edge ML capabilities with GSK’s deep expertise in drug discovery, the partnership underscores the company’s commitment to pioneering science and delivering impactful therapies to patients. … Opportunity The company is seeking a Research Engineer to join its Machine Learning group to drive the development, deployment, and scaling of ML and computational systems across the organisation. This role sits at the intersection of research and engineering, improving research workflows, supporting rapid experimentation, and enabling teams ...

Senior Data Scientist and Machine Learning Researcher, you will be responsible for the technical development and leadership of AI/ML projects from initial idea scoping right through to final project delivery both in customer and internal domains. You will demonstrate novel thinking and propose new ideas … with minimal guidance Brings experience in scoping, designing, and delivering data-centric solutions while working collaboratively across disciplines Undertake research and applied AI/ML tasks on both customer and internal research projects Generate ideas for new research directions and provide technical leadership in small project groups Mentor more junior ...

disciplines – Mechanical, Electronic, Electrical and Software Engineering – within the Digital team we develop software for IoT edge devices, cloud services, frontend UI, AI/ML models in computer vision, and Data Analysis. We are seeking a talented and enthusiastic Data Engineer to join our talented AI/ML team. … experienced professionals and gain valuable hands-on experience across the entire product development lifecycle. Responsibilities of the role • Develop, deploy and validate high-performing machine learning models for computer vision applications, such as image classification, object detection, image segmentation, and video analysis. • Conduct thorough data analysis, feature engineering ...

Machine Learning Engineer 6 month contract Based in Bristol Offering circa 75ph Outside IR35 Do you have experience designing, building, and optimising ML models? Do you have experience in Python and ML frameworks? Do you want to work with an industry-leading company? If your answer to these … clearance. You will be involved in: Design, build, and optimise machine learning models, including NLP, computer vision, and predictive analytics Own the ML lifecycle from data preparation through training, evaluation, and deployment Implement and maintain MLOps workflows for continuous integration and delivery of ML models Collaborate with Data ...

combines scale, innovation and purpose. As a Machine Learning Engineer, you'll help maintain the stability and performance of core data and ML systems across Europe. This technical engineering role focuses on reliability, optimisation and critical fixes, ideal if you excel at investigating and debugging complex data flows … ML issues in live production environments. We're looking for individuals with: Experience: Proven background as a Machine Learning Engineer. Technical Skills: Strong in SQL and Python (Pandas, Scikit-learn, Jupyter, Matplotlib). Data transformation & manipulation : experience with Airflow, DBT and Kubeflow Cloud: Experience with GCP and Vertex ...

Learning Engineer to join our growing team. This is an exciting opportunity for women who want to advance their career in AI/ML, work on meaningful projects, and thrive in a supportive, collaborative environment. What Youll Do: Design, develop, and deploy machine learning models using modern … stakeholders to turn ideas into impactful solutions. Optimize and deploy models with tools like TensorFlow Serving, TorchServe, ONNX, and TensorRT. Build and manage ML pipelines using MLflow, Kubeflow, and Azure ML Pipelines. Work with large-scale data using PySpark and integrate ML solutions into production environments. Monitor and improve model ...

machine learning models in production. Collaborating with data scientists, engineers, and stakeholders to integrate AI solutions into scalable products. Supporting the full ML lifecycle, from experimentation to deployment and optimisation. Applying best practices in data engineering and contributing to architectural decisions. Using modern MLOps tools and CI/… knowledge-sharing and continuous improvement. Technical Experience Were looking for experience in many of the following areas: Strong Python skills and familiarity with ML libraries such as Pandas, NumPy, and scikit-learn. Experience with frameworks such as TensorFlow, Keras, or PyTorch. Exposure to gradient boosting tools such as XGBoost, LightGBM ...