576 to 600 of 2,636 Machine Learning Jobs in England

owncreativity to solve our client's challenges! It would be great if you also had experience in some of these, but if not we'll help you with them Machine Learning softwaree.g. Amazon and Azure machine learning, or Google'sTensorFlow Deploying and managing in Cloud Computing such as AWS, MS Azure Containerisation e.g. Docker, Kubernetes Relational More ❯

how to leverage LLMs, neural networks, and emerging AI technologies to solve complex application testing and deployment challenges. Key job responsibilities Design AI-powered test automation frameworks that leverage machine learning for intelligent test case generation, predictive analytics, and autonomous test maintenance across mobile and cloud platforms Architect next-generation test infrastructure that combines traditional CI/CD … distributed systems Pioneer innovative quality practices that leverage AI for automated performance analysis, intelligent chaos engineering scenarios, and predictive system reliability testing Design self-healing test systems that use machine learning to adapt to application changes, automatically … maintain test suites, and provide AI-driven insights into test coverage Drive adoption of AI-augmented testing practices across teams, focusing on the integration of intelligent automation tools and ML-based testing approaches in our development workflow A day in the life As a Senior Test Innovation Engineer, you'll lead the evolution of our next-generation automation platform while More ❯

methods to ensure Safety in the next generation of models that can access external resources and take actions in the world. You will work closely with other cross-functional machine learning teams and data annotation teams, and will also collaborate with product and policy teams. This role combines expertise in machine learning, ethical and responsible AI … engineering skills. Strong expertise in designing and conducting data collection tasks, including working with human annotators. Experience analyzing datasets with respect to their quality, biases, and suitability for training ML models. Hands-on experience training large language models (LLMs) on distributed training infrastructures. Familiarity with evaluating and improving the generalizability and robustness of ML systems. Proficiency in programming languages such … as Python and ML frameworks (e.g., PyTorch, TensorFlow, JAX). Excellent communication skills to collaborate effectively with cross-functional teams and present findings. One or more papers at top-tier venues (such as NeurIPS, ICML, ICLR, AIStats, MLSys, JMLR, AAAI, Nature, COLING, ACL, EMNLP). If some of the above doesn't line up perfectly with your experience, we still More ❯

strategic decisions makers across the business. You will apply the appropriate solution to the problem at hand. This could be advanced statistical techniques (Hierarchical Bayesian modelling, GAMs), AI and machine learning techniques (LLMs, neural networks) or simple arithmetic. The key is to deliver useful and timely information for the benefit of Cox Automotive Europe and the broader automotive … to understand business needs and translate them into analytical solutions, ensuring high-quality deliverables. Analyze large datasets to extract actionable insights and inform strategic decisions. Develop and implement advanced machine learning models and algorithms. Communicate findings and recommendations to non-technical audiences through reports, presentations, and visualizations. Create, maintain, and optimize algorithms on various platforms. Prepare data for … Ann Fairbanks Executive PA & Business Support Ann Fairbanks Executive PA & Business Support "I wouldn't be where I am today without Cox Automotive. The company has real culture of learning, pushing the boundaries and making YOU better. It's all built on strong values that are more than just words, they're acted on every single day." Gemma Hepple More ❯

intelligence or social sciences. Knowledge of experimental design. Experience with big data and awareness of biases. Proficiency in documenting methodologies. Familiarity with version control tools like GitHub. Experience building machine learning pipelines and understanding engineering principles. Knowledge of machine learning techniques such as Random Forest and LGBM. About us: Prevail Partners provides intelligence, research, and consultancy More ❯

a critical advantage in the increasingly competitive insurance market. As part of your Data Science career you will be expected to further advance a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems and adding demonstrable commercial value. Key Responsibilities: Lead the delivery of … Science/Analytics Experience ideally within insurance or financial services. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a business context. Advanced SQL and experience with Python and/or R. Strong communication … Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts, sharing expertise and fostering a culture of continuous learning and innovation. More ❯

a critical advantage in the increasingly competitive insurance market. As part of your Data Science career you will be expected to further advance a wide range of modern statistical, machine learning and data science methods. This knowledge will be applied to a wide range of business problems and adding demonstrable commercial value. Key Responsibilities: Lead the delivery of … Science/Analytics Experience ideally within insurance or financial services. Strong academic background in a numerical discipline (eg BSc Mathematics, Computer Science, Data Science). Proficiency in statistical and machine learning techniques (eg logistic regression, clustering, GBMs) and the application of these in a business context. Advanced SQL and experience with Python and/or R. Strong communication … Research) Experience with modern data platforms (eg Databricks, Snowflake, MS Fabric). Familiarity with MLOps practices and version control tools (e.g. Git). Experience with deployment and maintenance of ML models in production environments. Experience mentoring junior analysts, sharing expertise and fostering a culture of continuous learning and innovation. More ❯

bring your ideas to life, support and mentor others, and continuously develop your skills in a collaborative, hybrid working environment. About you Role Responsibilities: Design, build, and maintain scalable machine learning pipelines using Python and PySpark. Work within Databricks to develop, schedule, and monitor data workflows, utilising Databricks Asset Bundles. Collaborate with data analysts, engineers, and other scientists … for analytics and reporting needs. Contribute to continuous improvements in our data science practices, testing frameworks, and deployment processes. Mentor and support more junior colleagues, fostering a culture of learning and knowledge sharing. Scope out requirements and deliverables in an agile way, ensuring successful integration of outputs into business processes. Essential Skills and Experience 2-5 years of experience … Strong analytical and communication skills, with the ability to tailor complex insights for both technical and non-technical audiences. Hands-on experience with Databricks for deploying, monitoring, and maintaining machine learning pipelines. Experience working with AWS data services and architectures. Good understanding of code versioning and CI/CD tools and practices. Familiarity with Databricks Asset Bundles (DAB More ❯

bring your ideas to life, support and mentor others, and continuously develop your skills in a collaborative, hybrid working environment. About you Role Responsibilities: Design, build, and maintain scalable machine learning pipelines using Python and PySpark. Work within Databricks to develop, schedule, and monitor data workflows, utilising Databricks Asset Bundles. Collaborate with data analysts, engineers, and other scientists … for analytics and reporting needs. Contribute to continuous improvements in our data science practices, testing frameworks, and deployment processes. Mentor and support more junior colleagues, fostering a culture of learning and knowledge sharing. Scope out requirements and deliverables in an agile way, ensuring successful integration of outputs into business processes. Essential Skills and Experience 2-5 years of experience … Strong analytical and communication skills, with the ability to tailor complex insights for both technical and non-technical audiences. Hands-on experience with Databricks for deploying, monitoring, and maintaining machine learning pipelines. Experience working with AWS data services and architectures. Good understanding of code versioning and CI/CD tools and practices. Familiarity with Databricks Asset Bundles (DAB More ❯

issues and faults across manufacturing, logistics, car build, and race days. Innovation around finding patterns and relationships between faults and issues will be key, by using data, analytics, and machine learning to deliver world championship reliability tools. Role Dimensions: The Software & Data Science group in McLaren F1 is responsible for the analysis, design, and delivery of software tools … and methodologies which improve the team and car's performance. We are a cross-functional group, bringing together data science, machine learning, software engineering, and DevOps to deliver performance focused platforms and solutions. In reliability engineering, you will understand issue tracking and management, root cause analysis, integrating with other systems through API's, and will have experience in … and adaptable, detail orientated, and get satisfaction from delivering to a high standard. Able to work autonomously under pressure and to tight deadlines. You recognise the importance of continuous learning and sharing that knowledge with others. Approachable, with balanced judgment and a high level of personal integrity. What can McLaren offer? We constantly strive to be better tomorrow than More ❯

to drive safer roads and fairer insurance through data. The Telematics team transforms raw phone sensor data into meaningful insights about how people drive. Using advanced signal processing and machine learning, we process high-frequency data to extract behavioural signals that power our understanding of driving quality, context, and risk. About the Role As a Lead Data Scientist … design, implementation, and deployment Strong proficiency in Python and SQL, with practical experience in designing and implementing efficient data pipelines, including performance tuning and optimization. Proven ability to apply machine learning techniques to real-world problems. Familiarity with core libraries such as Pandas, NumPy, Scikit-learn, SciPy, and Polars is expected. Experience with digital signal processing, mobile sensor … non-technical audiences, and building alignment. A growth mindset: open to feedback, committed to continuous learning, and eager to help others develop. Nice to Have Experience leading applied ML projects end-to-end, with a focus on code quality, runtime efficiency, and measurable impact. Familiarity with cloud platforms (e.g. AWS), containerisation (Docker, Kubernetes), and orchestration tools. Experience mentoring and More ❯

a strong knowledge of performance optimisation for CPU and GPU You will have significant experience with networking, concurrency, operating systems You will have significant knowledge of skeletal tracking and machine learning and be familiar with machine learning libraries You will have an expert understanding of Git, Visual Studio and Cuda You will have the ability to … thrive in a world that is constantly changing and evolving. We are agile and strive for the highest quality in everything we do. As a team, we are constantly learning, challenging and pushing ourselves. Our Tech Stack At Hawk-Eye Innovations, we continue to push the boundaries of innovation within global sport. As part of our team, you will … most cutting edge technologies. You can expect to work with: Primarily modern C++ (C+ and soon C+) CUDA Production software targets Windows 10 (plus some Linux software, e.g. for ML training) Tools: Git, cmake, Visual C++, TeamCity, JIRA, Confluence, Slack Libraries: OpenCV, Ceres, Qt (and quite a few more smaller ones) UK Benefits Annual Leave: 25 days + 8 public More ❯

help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of … solutions for complex client challenges, defining clear success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research … statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant More ❯

help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of … solutions for complex client challenges, defining clear success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research … statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant More ❯

help brands across entertainment, tech, sports, and consumer goods maximise their marketing impact. You’ll be part of a collaborative Data Science team, working on large-scale datasets, building machine learning models, and delivering actionable insights for high-profile clients. Key Responsibilities Lead the development of … solutions for complex client challenges, defining clear success criteria. Support and mentor junior team members, fostering a collaborative environment. Independently manage client relationships and project expectations. Develop and deploy ML models, applying innovative approaches beyond basic feature engineering. Use Python, SQL, and Tableau for reporting and analysis within an AWS environment. Work closely with Data Engineering, Sales, and Market Research … statistical and machine learning expertise, with the ability to apply and evaluate various algorithms. Proficiency in Python (Pandas), SQL, and data analytics tools. Experience deploying and evaluating ML models in production environments. Ability to interpret complex datasets, drawing meaningful insights to drive business decisions. Strong communication skills, with experience in managing client relationships. A degree in a relevant More ❯

pressing engineering problems for our clients. Join our engineering teams that build massively scalable software and systems, architect low latency infrastructure solutions, proactively guard against cyber threats, and leverage machine learning alongside financial engineering to continuously turn data into action. Create new businesses, transform finance, and explore a world of opportunity at the speed of markets . RESPONSIBILITIES … keep our firm's position on the cutting edge. Or, join our core engineering teams, and elevate all of our businesses by providing reliable, scalable platforms for data engineering, machine learning, networking, developer tooling, collaboration and more. Innovate with UI/UX designers, data scientists, cloud engineers, and more in a collaborative, agile environment where your enthusiasm to More ❯

data handling, with an awareness of analytical biases and pitfalls. Skilled in documenting and sharing methodologies with data professionals. Familiar with version control tools like GitHub. Familiar with building machine learning pipelines and basic engineering principles. Familiar with machine learning techniques (e.g. Random Forest and LGBM). Us: Prevail Partners delivers high quality intelligence, research and More ❯

Apply knowledge of data science concepts to translate business problems to analytics solutions with clear output and with foreseen impactful outcomes. Lead the design, development, and deployment of scalable machine learning models, ensuring integration into production with ongoing performance monitoring. Provide project management oversight required to meet client expectations. Responsibilities may include the development of presentations and managing … concepts, accompanied by expertise with a set of analytical tools ranging from databases (e.g. SQL, BigQuery, noSQL) to programming languages (Python), and from data visualization (e.g. Tableau, PowerBI) to machine learning and cloud experience (Azure, AWS or GCP). Understanding data engineering solutions is a plus. Proven ability to manage projects with expert team members and to provide More ❯

Lead Technologist - Artificial Intelligence & ML £85,000 GBP Hybrid WORKING Location: Chelmsford, East of England - United Kingdom Type: Permanent Lead AI & Machine Learning Technologist Location: Great Baddow Hybrid (2 days onsite) Salary up to £85,000 + 10% bonus SC Clearable A leading defence technology organisation is seeking a Lead AI & Machine Learning Technologist to join More ❯

things when you say you will, you also know how to explain things clearly and concisely. You can educate and inspire. You've got a background in data science, machine learning algorithms and data engineering along with their technologies. You're equally comfortable presenting to clients, providing advice or building prototypes. You're a collaborator and enjoy stepping … code that use existing data science libraries, implement existing data science techniques, or implement novel techniques. Designing, evaluating, and implementing on-premise, cloud-based and hybrid data science and machine learning techniques and algorithms (including providing relevant review and guidance on testing aspects, identification of risks and proposing and implementing their mitigations). Developing scalable models and algorithms More ❯

Date: July 2025 Company: Fuzzy Labs Job Title: Lead MLOps Engineer Location: Central Manchester Working style: Hybrid Fuzzy Labs are a Manchester based startup that helps our clients productionise machine learning through Open Source MLOps. We exist to help harness and channel the power of AI more quickly, to make positive change and use AI for good. We … code tools. Fluency in our core software tooling: Git, Unix/Linux, Docker. Plus, a strong opinion on your IDE/editor of choice is welcome Familiarity with modern machine learning tools, for instance TensorFlow, Keras, PyTorch or SKLearn. Commercial experience with these is not essential. Excellent communication skills; both in customer-facing and internal team communication. Knowledge More ❯

with Business Relationship Managers and Solution Designers to develop practical solutions. DevOps Methodologies: Utilise modern DevOps practices to enhance efficiency and productivity. Technology Trends: Leverage emerging technologies in AI, machine learning and data science for professional services. You'll be someone with: Python Expertise: Deep knowledge of Python and its ecosystem for complex applications. Cloud Deployment: Experience with … Science Tools: Proficiency in Numpy, Pandas, Matplotlib, Seaborn and Scikit-learn. MLOps: Experience building pipelines (CI/CD) using Bicep or similar technologies. Expertise in deploying, monitoring and managing machine learning models in production environments. API Development: An understanding of REST. Experience with Flask or FastAPI. Data Validation: Knowledge of Pydantic for data validation. Scripting and Prototyping: Use … ll encourage you to build your network, work alongside others, and share your skills and experiences. With a range of multidisciplinary events and dedicated resources, you'll never stop learning at BDO. We're looking forward to the future At BDO, we help entrepreneurial businesses to succeed, fuelling the UK economy.Our success is powered by our people, which is More ❯

We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. The positions are part of the Future Interaction Research Programme. Our topics of interest include but are not limited to:Contrastively-trained and auto-regressive Vision & Language (e.g. CLIP, BLIP).Visual LLMs (e.g. LLaVA). Generative … within the center. Interact with product and engineering teams for the purpose of technology transfer. Key Skills Required: Research experience in the fields of Computer Vision and/or Machine Learning.Familiarity with fast prototyping Deep Learning frameworks such as PyTorch.A track record of publishing at top-tier venues (e.g. CVPR, ECCV, ICCV, ICLR, NeurIPS, EMNLP, ACL, ICML, TPAMI More ❯

Technical Project Manager – AI & Machine Learning Research Contract length: this will run until 31/12/2025 with potential to extend to 24 months or permanent conversion Salary: £71,000-£78,000 Location: Hybrid 3 days per week in King's Cross London, 2 days from home A globally recognized social technology leader is hiring a Technical … structure, manage timelines, risks, and interdependencies Translate strategy into action and ensure progress is communicated effectively Support remote teams and manage cross-functional relationships Requirements: Experience in AI/ML, LLMs, or related fields Degree in Computer Science, Engineering, or equivalent practical experience Expertise in managing technical projects and working with distributed teams Strong organizational and communication abilities Next steps More ❯

Technical Project Manager – AI & Machine Learning Research Contract length: this will run until 31/12/2025 with potential to extend to 24 months or permanent conversion Salary: £71,000-£78,000 Location: Hybrid 3 days per week in King's Cross London, 2 days from home A globally recognized social technology leader is hiring a Technical … structure, manage timelines, risks, and interdependencies Translate strategy into action and ensure progress is communicated effectively Support remote teams and manage cross-functional relationships Requirements: Experience in AI/ML, LLMs, or related fields Degree in Computer Science, Engineering, or equivalent practical experience Expertise in managing technical projects and working with distributed teams Strong organizational and communication abilities Next steps More ❯