1 to 25 of 212 Machine Learning Jobs in the West Midlands

the energy transition for all, we don't plan on leaving any of our customers in the dark. So, join us as a Lead Machine Learning Engineer, and find your superpower. National Grid is hiring a Lead Machine Learning Engineer for our IT & Digital department. This … Participate in code reviews to help improve code quality. Technologies/Tools we use: Python, Azure (Virtual Machines, Azure Web Apps, Cloud Storage, Azure ML), Anaconda packages, Git, GitHub, GitHub Actions, Terraform, SQL, Artifactory, Airflow, Docker, Kubernetes, Linux/Windows VMs. About You Hands-on industry experience in some combination … of Software Engineering, ML Engineering, Data Science, DevOps, and Cloud Infrastructure work. Expertise in Python which includes experience in libraries such as Pandas, scikit-learn. High proficiency in SQL. Knowledge of best practices in software engineering is necessary. Hands-on industry experience in some combination of the following technologies: Python More ❯

Location : London (Flexible) Salary : competitive Position type : full-time Start date: immediate Candidates welcomed: all genders, nationalities, backgrounds and orientations Rahko is a quantum machine learning company focusing on quantum and quantum-inspired algorithms for drug discovery and development. We are a small and fast-growing startup with … advised by several world-leading scientists. Read more about Rahko's work and team here . Rahko brings together classical computational methods, more recent machine/deep learning methods and quantum computing to improve the speed and accuracy of quantum chemistry simulations for drug discovery and development. As … a valued member of our team, you will work closely with our expert quantum machine learning and computational chemistry scientists to develop state-of-the-art in silico methods for drug discovery and development. You will have a PhD (or equivalent industry experience) in medicinal chemistry, computational chemistry More ❯

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas … identifies and develops AI solutions that solve hard problems for PwC and for its clients. Our team works at the frontier of AI and ML in professional services. We work across multiple industries, including healthcare, financial services, and professional services. We are looking for people to contribute to the development … stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. More ❯

Senior Analyst - Data Science Analyst - Data Science Infosys is seeking a Data Science Analyst with machine learning and Python experience. The ideal candidate will work on productionizing machine learning models and guide the development team for implementing end-to-end machine learning use cases. … consulting solutions for clients by connecting various functions of cloud components. The candidate will provide technology consulting for defining the right Data Science and ML use cases. You will contribute to the development and deployment of innovative Analytics and AI solutions. Required Qualifications: Bachelor's degree or foreign equivalent required … AWS, GCP, Azure). Stay up-to-date with the latest research and advancements in AI, Image processing, and Computer Vision. Familiarity with deep learning frameworks (PyTorch, TensorFlow) including OpenCV. Strong communication and analytical skills. Ability to work in teams in a diverse, multi-stakeholder environment comprising of Business More ❯

reduce operational costs, and drive engagement, retention and lifetime value for over 120 million users. Role Details Lead Product Manager - Transaction Enrichment (Data AI & ML), Consumer Clarity Product will help define and lead the product strategy and implementation for the transaction enrichment capabilities, specifically Subscription Identification, but also other data … and AI/ML based products. Minna's Identify Engine uses proprietary machine learning algorithms that analyse customer transactions to identify recurring spending such as subscriptions. The features for this product include building specific algorithms to support all edge cases, support for different markets and incrementally improving accuracy … ensure the product is delivering the promised value. There will also be opportunities for this role to work on other data and AI/ML products for building efficiencies in the system and deliver more value to our customers with the use of the right technologies. Responsibilities In this role More ❯

used internationally on a daily basis. This role would suit a software engineer with a broad range of technologies (ideally with an understanding of ML/AI) who is looking for a clear progression pathway and a varied, interesting greenfield development focused day to day. In return this Senior Software … angular etc Third party integration skills MySQL database experience Solid cloud exposure – AWS, GCP etc Solid system design understanding – Serverless, Headless, microservices etc Any Machine learning skills would useful A positive, engaging personality with no ego but the resolve to challenge and question existing process the norm when … apply now to be considered Senior Software Engineer Cheltenham (long term remote working available) £70,000 - £80,000 AWS, GCP, MySQL, system architecture, JavaScript, machine learning, JavaScript, node AWS, GCP, MySQL, system architecture, JavaScript, machine learning More ❯

maintain AI systems to enhance product offerings and customer interactions. Conduct research and experimentation to improve AI algorithms and models. Train, evaluate, and deploy machine learning models into production environments. Collaborate with cross-functional teams to understand business requirements and deliver AI solutions that align with company values … members, including leaders, to share ideas, discuss problems, and drive continuous improvement. Qualifications and qualities which are preferred but not essential: Strong understanding of machine learning algorithms, deep learning frameworks, and AI technologies. Analytical and problem-solving skills, with the ability to challenge ideas and processes. Positive More ❯

supervisory controller functions. Provide ongoing assessment of software design processes and optimise changes as needed. Contribute to Advanced Research Support advanced SW development including machine learning and big data features. Support development and validation of advanced energy management algorithms, Thermal management Strategy and 4WD Torque Split Strategy. Support … like Torque Management, Traction Management & Thermal Management. Curious and Perpetual Learning mindset to be able to apply cutting edge technologies like AI/ML to influence Supervisory Management Control Strategies. An individual with a Customer Focussed Mindset who can translate complex technical solutions into real world customer benefits. An … software testing and quality metrics (coverage analysis, complexity analysis). Experience with automotive communication protocols e.g. CAN/CAN FD/UDS. Knowledge of machine learning and big data algorithms and implementations. Benefits: Our Client offers a competitive basic that is open to negotiation, plus a Bonus Scheme More ❯

supervisory controller functions. Provide ongoing assessment of software design processes and optimise changes as needed. Contribute to Advanced Research Support advanced SW development including machine learning and big data features. Support development and validation of advanced energy management algorithms, Thermal management Strategy and 4WD Torque Split Strategy. Support … like Torque Management, Traction Management & Thermal Management. Curious and Perpetual Learning mindset to be able to apply cutting edge technologies like AI/ML to influence Supervisory Management Control Strategies. An individual with a Customer Focussed Mindset who can translate complex technical solutions into real world customer benefits. An … software testing and quality metrics (coverage analysis, complexity analysis). Experience with automotive communication protocols e.g. CAN/CAN FD/UDS. Knowledge of machine learning and big data algorithms and implementations. Benefits: Our Client offers a competitive basic that is open to negotiation, plus a Bonus Scheme More ❯

focus on analyzing and interpreting audit and risk data to derive insights that inform internal audit strategies. This role requires strong analytical, statistical, and machine learning skills combined with expertise in data visualization and storytelling. Key Responsibilities: Analyze audit and risk data to uncover patterns, trends, and anomalies … Collaborate with internal auditors to interpret findings and support audit strategies. Document analytical approaches and ensure reproducibility. Key Skills & Experience: Strong foundation in statistics, machine learning, and data science techniques. Proficiency in tools like Python, R, and SQL. Experience working with visualization tools (Tableau, Power BI, Looker, Qlik More ❯

of AI and data science strategies across the Civil Service. Key Skills and Experience • Strong programming skills in Python, R, or SQL. • Experience with machine learning frameworks (e.g., Scikit-learn, TensorFlow, PyTorch). • Proficiency in data manipulation and analysis (e.g., Pandas, NumPy, Spark). • Knowledge of data visualization … complex data into actionable insights for non-technical audiences. Key Responsibilities • Collect, process, and analyse large datasets to generate actionable insights. • Apply statistical methods, machine learning models, and AI techniques to solve business problems. • Develop data visualizations and dashboards to communicate findings clearly. • Collaborate with software engineers, product More ❯

clarity, confidence and certainty to the audience. Experience in different approaches to data analysis & statistical modelling. Excellent statistical approach to problem solving. Experience using machine learning and advanced analytics approaches to solve business problems Appreciation of building machine learning models using techniques such as forecasting, time More ❯

trusted analytics partner for several Fortune 100 companies, enabling them to generate business value from data. Our consultants bring deep expertise in Data Science, Machine Learning, and AI. Various market research firms, including Forrester and Gartner, have recognized our business value and leadership. We are headquartered in Silicon … and customer data is collected, and suggest appropriate data collection methods. Work with business executives to understand business constraints that impact data science or machine learning models. Examine sample data and prepare a preliminary solution proposal document to present to clients. Extract, transform, and organize data into datasets. … to resolve issues and mitigate risks. Ability to discover patterns in data and deliver impactful insights in client decision-making. Knowledge of DS/ML/AI techniques - when and why they are used and interpretation of results from a business viewpoint. In-depth understanding of how analytics is used More ❯

working on advanced systems that enhance vehicle perception, prediction, tracking, and motion planning capabilities. You’ll play a key role in building and refining machine learning features, as well as developing control and diagnostic strategies for automated driving. Key Responsibilities Design and implement machine learning features … design. Preferred Experience Strong background in autonomous driving technologies. Expertise in Simulink and model-based design. Experience with perception and sensor fusion, AI/ML, or control systems for ADAS or AV platforms. More ❯

continue to lead in HPC, we are also looking to expand into emerging markets such as cloud computing, automotive compute, Machine Learning (ML), and AI. To drive this expansion and maintain our leadership, we are hiring a versatile and strategic Senior Product Manager . The Role: We are … positioning them for new markets. Key Responsibilities: Define and execute the product strategy for Linaro Forge in both existing (HPC) and new markets (cloud, ML, AI, automotive). Conduct market research and competitive analysis to identify opportunities for product expansion and differentiation. Work closely with Engineering to prioritize feature development … direction they expect to see our product evolve, identify and drive strategic partnerships. Lead the investigation of new opportunities, including cloud-based solutions, and ML workloads, providing structure and focus to these initiatives. Collaborate with Sales and Pre-sales teams to ensure effective product positioning and go-to-market strategies. More ❯

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 … like lending, deposits, financial tools, and cards. We use modern architecture principles, collaborative development processes, and a continuous delivery approach. Through the use of machine learning and intuitive design, we provide customers with powerful tools that are grounded in value, transparency, and simplicity to help them make smarter More ❯

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 … like lending, deposits, financial tools, and cards. We use modern architecture principles, collaborative development processes, and a continuous delivery approach. Through the use of machine learning and intuitive design, we provide customers with powerful tools that are grounded in value, transparency, and simplicity to help them make smarter More ❯

about Lear is available at or on Position overview: As an AI-focused software developer, you'll be responsible for designing, implementing, and deploying machine learning models and algorithms into production systems. Your role will involve creating custom solutions, integrating AI capabilities into existing software applications, and ensuring … Collaborate with data scientists, product managers, and other stakeholders to understand project requirements. Translate theoretical AI algorithms into robust, scalable code. Develop and optimize machine and deep learning models. Test and debug AI software to ensure functionality and reliability. AI deployment in industrial plants. HEALTH, SAFETY & ENVIRONMENTAL RESPONSIBILITIES … master's degree in computer science, Software Engineering, or a related field. Proficiency in programming languages (e.g., Python, C#, C++). Experience with deep learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of cloud platforms (e.g., Azure). Familiarity with containerization is a plus (e.g., Docker, Kubernetes). Knowledge of More ❯

month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. … Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud-based data science environments. Other: Ability to integrate ML workflows into large-scale data pipelines. More ❯

month on site About You: Technical Skills: Expertise in machine learning (supervised, unsupervised, reinforcement learning). Strong proficiency in Databricks, Azure ML, Azure Data Factory, and SQL. Hands-on experience in Python, R, and experience with deep learning frameworks such as TensorFlow, PyTorch, or Scikit-learn. … Expert-level experience in Power BI for advanced visualisations, ML model interpretation, and KPI tracking. Deep knowledge of feature engineering, model deployment, and MLOps best practices. Experience with big data processing (Spark, Hadoop) and cloud-based data science environments. Other: Ability to integrate ML workflows into large-scale data pipelines. More ❯

to define/design/test and implement tooling requirements around this , as well as embed the latest technologies such as Gen AI/ML to improve resilience across the bank . About the Role As technology evolves and banks are increasingly looking to utilise Gen AI to si gnificantly … About you: Proven experience in operational resilience, risk management, or business continuity within financial services or a regulated environment. Strong knowledge of AI/ML technologies, model governance, and responsible AI principles. Understanding of machine learning models, natural language processing (NLP), and AI algorithms. Knowledge of model lifecycle … resilience frameworks and regulatory expectations (e.g., PRA SS1/21, FCA PS21/3, DORA, NIST AI RMF). Experience working with AI/ML platforms and monitoring tools (e.g., MLflow , Azure ML, SageMaker , Databricks , Python etc ). Excellent stakeholder management and communication skills. Desirable: Technical background in AI/ More ❯

Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Web/RESTful service development, etc. Knowledge of ORM frameworks. Experience in ML/Data Science/AWS will be relevant and useful. Experience with continuous delivery and deployment. Proficient at working with large and complex code bases. More ❯

Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Web/RESTful service development, etc. Knowledge of ORM frameworks. Experience in ML/Data Science/AWS will be relevant and useful. Experience with continuous delivery and deployment. Proficient at working with large and complex code bases. More ❯

Experience with industry standard frameworks and tools such as SpringBoot, DropWizard, Maven, Web/RESTful service development, etc. Knowledge of ORM frameworks. Experience in ML/Data Science/AWS will be relevant and useful. Experience with continuous delivery and deployment. Proficient at working with large and complex code bases. More ❯

Compose/DataBricks/Informatica/SAS. An understanding of data modelling methodology (Kimball, Data Vault, Lakehouse). Understanding of Data Science, AI and Machine Learning ways of working. About us We're one of the largest building societies in the UK and we share a mutual goal More ❯