1 to 25 of 65 Machine Learning Jobs in the Midlands

Role Title: Data Scientist ML Engineer Duration: contract to run until 28/11/2025 Location: Birmingham/Sheffield, Hybrid 2-3 days onsite Rate: TBC Key Skills/requirements Carrying out preprocessing of structured and unstructured data Enhancing data collection procedures to include all relevant information for developing analytic systems Processing, cleansing, and validating the integrity of data … to be used for analysis. Analyzing large amounts of information to find patterns and solutions. Developing prediction systems and machine learning algorithms Presenting results in a clear manner Propose solutions and strategies to tackle business challenges. Data mining or extracting usable data from valuable data sources. Using machine learning tools to select features, create and optimize … is an added advantage. Statistics - Good applied statistical skills, including knowledge of statistical tests, distributions, regression, maximum likelihood estimators, etc. Proficiency in statistics is essential for data-driven companies. Machine Learning - good knowledge of machine learning methods like Decision-making, k-Nearest Neighbors, Naive Bayes, SVM, Decision Forests. Strong Math Skills (Multivariable Calculus and Linear Algebra More ❯

continuous years, and unspent criminal record check (known as Disclosure and Barring Service) Your role We are looking for people with strong technical knowledge in areas such as machine learning, GenAI, computer vision, and data science, combined with solid solution architecture and software engineering skills, that will allow us to design and build solutions which can be deployed … your working reality. We have built an inclusive and welcoming environment, for everyone. Your Skills and Experience Capabilities in a range of AI techniques (e.g. supervised and un-supervised machine learning techniques, GenAI, deep learning, graph data analytics, statistical analysis, time series, geospatial, NLP, sentiment analysis, pattern detection, etc.). Strong communication skills - able to compellingly present … organisations, through e.g. the RFI/RFP process, as preferred bidder, documented bids and face to face presentations. Experience of data science platforms (e.g. Databricks, Dataiku, AzureML, SageMaker) and machine learning frameworks (e.g. Keras, Tensorflow, PyTorch, scikit-learn) Cloud platforms – demonstrable experience of building and deploying solutions to Cloud (e.g. AWS, Azure, Google Cloud) including Cloud provisioning tools More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

chance to take control, watch the game from new angles, even participate in the action, on any device. As a Senior Data Scientist, you'll work within a specialised machine learning team to build cutting-edge capabilities of the AI-driven platform. We work in a fast-paced, exploratory environment where ideas are rapidly prototyped, tested, and refined. … patterns and relationships between variables. Collaborates with stakeholders across the Organisation to understand their needs and develop appropriate solutions based on data analysis results. Own the full lifecycle of ML solutions - designing, deploying, and maintaining models in production environments. Monitors performance of existing models over time and adjust parameters accordingly for optimal results. Stays up-to-date on industry trends … a cloud-based environment (ideally AWS) A strong background in data analysis and machine learning, with proven experience, ideally 3 yrs+ architecting and building end-to-end ML systems for industry problems AWS Machine Learning Certification desirable Experi e nce using Infrastructure-as-Code to deploy ML solutions on AWS The rewards T here's one More ❯

advanced modelling tools such as MATLAB, Simulink, and Simscape, (or equivalent i.e. Dymola, Modelica) and JuliaHub to create, simulate, and optimise high-fidelity physical models. Integration of physical and machine learning models to deliver high-accuracy estimation and insights. Maturation of simulation toolchain and co-simulation framework to conduct holistic system-level analyses. Automate and optimise simulation workflows … mechanical, thermal, electrical, and fluid domains. Automating simulation workflows, including CAD integration for optimisation. Practical experience with Scientific Machine Learning (SciML) using MATLAB, JuliaHub, and equivalents, embedding ML into physics-based models. Strong background in data science and machine learning, with proven ability to integrate data-driven and physics-based approaches for improved prediction accuracy. Expertise More ❯

Software Engineers and product teams to integrate AI solutions into productions systems, as well as: Design, develop, and implement AI models and algorithms for various applications. Optimize and scale machine learning models for performance and efficiency. Conduct research and stay up-to-date with the latest advancements in AI and machine learning. Analyse large datasets to extract … and the ability to coordinate initiatives to ensure the timely delivery of AI-driven projects, as well as: Bachelor’s or master’s degree in computer science, Artificial Intelligence, Machine Learning, or a related field (desirable). Strong understanding of data structures, algorithms, and software engineering principles. Familiarity with data preprocessing, feature engineering, and model evaluation techniques. Familiarity … with AI, machine learning, or blockchain technologies. Excellent communication, and problem-solving skills. Understanding of cloud technologies, security principles, and modern development tools. Experience working with cross-functional teams. Familiarity with Agile development methodologies and DevOps practices, and Proficiency in programming languages such as Python, Java, or C++ would be beneficial. Knowledge of Azure Dev Ops and Power More ❯

drive smarter decisions, better outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to … identify opportunities and translate complex datasets into actionable insights. Design and build predictive models, machine learning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across a large-scale enterprise. Champion innovation … SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Naïve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain technical More ❯

drive smarter decisions, better outcomes, and improved operational efficiency. Working as part of a multidisciplinary Analytics & Insights team, you'll contribute to shaping a more data-driven culture-where machine learning, AI, and statistical modelling are leveraged to create real-world solutions with measurable impact. Your Impact As a Data Scientist, you'll : Collaborate with business leaders to … identify opportunities and translate complex datasets into actionable insights. Design and build predictive models, machine learning solutions, and smart algorithms. Analyse and visualise trends and patterns that directly influence decision-making across the organisation. Support the development of data products within the Microsoft Azure stack and contribute to modernising data capabilities across a large-scale enterprise. Champion innovation … SQL, and ideally knowledge of Scala, Java, or C++. Deep familiarity with the Microsoft technology stack - including Azure Data Factory, Synapse, Databricks, Power BI, Azure ML. Sound understanding of machine learning methods (KNN, Na ve Bayes, SVM, Decision Forests). Solid statistical and mathematical foundations (regression, distributions, linear algebra, multivariable calculus). Excellent communication skills - able to explain More ❯

Data Engineer/Data Engineering/Lakehouse/Delta Lake/Data Warehousing/ETL/Azure/Azure Databricks/Python/SQL/ML/Machine Learning/AI/Artificial Intelligence/Based in the West Midlands/Solihull/Birmingham area, Permanent role, £50,000 70,000 + car/allowance + bonus. One … of our leading clients is looking to recruit a Data Engineer Azure/Python/ML/AI. Location Hybrid/West Midlands (Birmingham/Solihull) Permanent role Salary £50,000 70,000 + car/allowance + bonus Experience: Experience in a Data Engineer/Data Engineering role Large and complex datasets Azure, Azure Databricks ML/Machine Learning/AI/Artificial Intelligence Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure Data Factory More ❯

to and extracting data from source systems, applying business logic and transformations, and enabling data-driven decision-making. Supporting strategic planning and identifying opportunities to apply AI models or machine learning techniques to enhance business processes. Capturing data requirements from customer and technical teams. Designing and implementing new data collection processes that ensure completeness, quality, and business relevance. … service platforms. Requirements Collaboration: excited to work alongside subject matter experts, data scientists, AI specialists, analysts, and visualisation professionals. Communication: able to explain complex technical concepts (including AI and machine learning outcomes) to non-technical audiences. Problem Solving: using data and AI as a foundation to tackle business challenges. Analytical Thinking: breaking down complex problems into manageable, actionable … Data Lake Storage, SQL DWH) or other cloud platforms ( essential ). Familiarity with distributed systems (Spark, Databricks, etc.). Familiarity with semi-structured and unstructured data formats. Knowledge of machine learning frameworks and how to operationalise models in production. Understanding of MLOps and AI model lifecycle management is a plus. Benefits: 25 Days holiday (excluding bank holidays) – increasing More ❯

enhancements. Were seeking a technical expert in the application and use of Excel, SQL, PowerBI and Power Platforms Experience with Tableau is advantageous as is experience of statistical and machine learning techniques such as time series analysis and forecasting. Interested applicants MUST possess advanced Excel & Power BI skills, be highly proficient with SQL and enjoy devising new reporting … complex and assist the leaderships teams gain valuable insight. Key Skills & Experience Will Include Advanced Analytical Modelling abilities (advanced Excel & PowerBI user, with solid SQL skills) Appreciation of building machine learning models using techniques such as forecasting, time series analysis and optimisation Articulate & concise presentation and communication style to simply complex technical and analytical information to non-technical … to manage conflicting priorities & work to often challenging deadlines to deliver tasks on time with high attention to detail and accuracy. Desirable - exposure to Tableau/Statistical Modelling and Machine Learning Please register your interest in the Senior Operations Performance Analyst position by applying as directed. Longreach Recruitment are trusted and proven UK & EMEA recruitment experts within Resource More ❯

fast-growing financial services organisation. This is an opportunity to join a forward-thinking team focused on driving innovation across the full customer lifecycle using advanced data science and machine learning techniques. About the Role: As a Lead Data Scientist, you will play a pivotal role in developing and enhancing data-driven solutions across fraud prevention, marketing strategy … identify opportunities for process improvement through data. Key Skills & Experience: Proven experience delivering end-to-end data science solutions in a commercial environment. Strong technical expertise in predictive modelling, machine learning, and AI. Proficient in R, Python, SQL, and familiar with visualisation tools like Power BI. Excellent problem-solving, communication, and stakeholder management skills. Experience in applying Gen … ability to work both independently and collaboratively within a team of ~5. A high level of discretion and professionalism when handling sensitive data. A mindset focused on innovation, continuous learning, and delivering outcomes. Please be aware this advert will remain open until the vacancy has been filled. Interviews will take place throughout this period, therefore we encourage you to More ❯

reliability goals Data Analysis & Insights Analyze high-resolution battery data from field units and test environments Build pipelines to process, visualize, and extract trends that inform algorithmic performance Apply machine learning techniques to enhance anomaly detection and predictive maintenance Cross-functional Collaboration Interface with software, hardware, and compliance teams to drive integrated product development Participate in peer reviews … Controls) Proficient in Python, MATLAB, or similar for modeling and data analysis Experience in battery systems, embedded control algorithms, or energy storage technologies Familiarity with statistical validation techniques and machine learning concepts Desirable: Hands-on experience with battery hardware, cell instrumentation, or BMS platforms Exposure to functional safety standards (ISO 26262, IEC 61508) Strong documentation and communication abilities More ❯

Data & ML Engineering Principal (Snowhill, Birmingham, United Kingdom) Recruiter: Luke Byrne Career Grade: C Internal Closing Date: 3/9/25 Locations: Birmingham, Bristol or Belfast Why this job matters The Data team in NAS helps BT make better decisions. At BT, we know there is huge potential in the vast amount of data available to us and we … integrity through automated testing and validation. • Visualisation: Drive adoption of data visualisation & it’s ability to support data story telling. • AI Integration: collaborate closely with data scientists to integrate ML models into our data pipelines & platforms. • Observability: Design and implement observability solutions to monitor data pipelines, platforms, identify issues and optimise performance. • Data Quality: Ensure data quality and integrity through … cloud-based data storage solutions. • Data Modelling: Ability to design and implement effective data models to support business processes. • Observability & DevOps: experience in developing and integrating observability tooling • AI & ML: experience building pipelines support ML models and integrating AI solutions. • Story-telling with data: strong skills in building the case for change, drawing on data and analytical techniques where appropriate More ❯

Reporting: Create dashboards and reports to communicate insights to non-technical stakeholders. Performance Evaluation Assess the impact of housing initiatives and recommend improvements. Machine Learning Applications Use ML to optimise resource allocation, predict tenant behaviour, and automate processes like arrears risk scoring. Data Governance: Maintain data quality, security, and compliance with GDPR and other regulations. Stakeholder Collaboration Work More ❯

next generation of IT consulting. Operating across both public and private sectors, we offer a comprehensive range of services from product design and engineering, digital strategy, data services & management (Machine Learning and AI), cloud migration to program delivery and service operations, our offerings are designed to meet diverse business needs. Job Description As a Senior Windows Engineer you … Additional Information Benefits include Hybrid working model with some flexible working 25days holiday Private Medical Health care via Vitality Pension contribution, Life Assurance Professional certifications supported as part of learning and development. A range of retail discounts to enhance your lifestyle, encompassing restaurants, supermarkets, travel, leisure activities and health and well-being services. Access to our Employee Resource Groups More ❯

platforms. • Driving Data Quality – Implement robust validation, cleansing, and monitoring processes to ensure data integrity and compliance. • Innovation & Future Focus – Explore and experiment with new technologies, including AI and machine learning, to unlock value from complex and unique datasets. What We’re Looking For We know there’s no such thing as the _perfect_ candidate. If you meet More ❯

candidates across the UK. This role sits within their specialist AI Practice - focused on providing cutting-edge solutions for their clients using the latest AI tech including Gen-AI, Machine Learning, Open AI, Co-Pilot etc. You'll work as part of an Agile team, working directly with a range of clients to understand their business needs, design More ❯

translate data insights into actionable business recommendations. Strong communication and stakeholder management skills. Degree in quantitative field such as Mathematics, Statistics, Economics, Finance, or a related discipline. Experience with machine learning techniques and data visualisation tools is a plus. What’s in it for you? Joining BNP Paribas Personal Finance means becoming part of a Top Employer UK More ❯

as contribute to the growth of the SAP SCM Capability. As part of the role, you will have access to enhance your consulting, functional and technical skills, through Capgemini learning and development, and the latest industry recognised certifications. About our UK SAP Practice Team: Capgemini UK is a leading SAP Integration Partner, helping our clients navigate through complex SAP … experience in designing and defining the Plant maintenance org structure to offer a fit for purpose design. AI and Machine Learning Interest: Keeping abreast with AI and ML advancements within SAP to drive automation and intelligent analytics in business processes. Your security clearance To be successfully appointed to this role, it is a requirement to obtain Security Check … seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our More ❯

lead the design and development of reporting and analytics solutions supporting ERP systems based on both on-premises and cloud-based architectures. You will have a keen focus on Machine Learning, best practices, architecture, and design of analytics and reporting solutions to help our clients implement their complex requirements, together with experience in designing robust, scalable, and complex … business, technological and societal ambitions, which will make a real impact across the UK. You will be empowered to explore, innovate, and progress. You will benefit from Capgemini’s ‘learning for life’ mindset, meaning you will have countless training and development opportunities from thinktanks to hackathons, and access to 250,000 courses with numerous external certifications from AWS, Microsoft … seek out opportunities that will transform the world’s leading businesses, and it’s how you’ll gain the experiences and connections you need to shape your future. By learning from each other every day, sharing knowledge, and always pushing yourself to do better, you’ll build the skills you want. You’ll use your skills to help our More ❯

compliance, and integration with broader digital transformation efforts Profile Proven delivery in technical project management, preferably in AI, digital delivery, or software development environments Strong understanding of data pipelines, machine learning work-flows, and cloud platforms (e.g., Azure, AWS, GCP) Familiarity with tools such as JIRA, Confluence, Gi.t, and project management software Excellent communication, organisational, and leadership skills More ❯

or related field (or equivalent experience) 1+ years of hands-on AI agent development (multi-agent systems a plus) Strong Python programming skills and experience with modern AI/ML frameworks Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools Solid understanding of audio processing and music tech Proven ability to build and integrate APIs and scalable systems More ❯

or related field (or equivalent experience) 1+ years of hands-on AI agent development (multi-agent systems a plus) Strong Python programming skills and experience with modern AI/ML frameworks Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools Solid understanding of audio processing and music tech Proven ability to build and integrate APIs and scalable systems More ❯

will be key as you drive the technical development of their services. You will have: Data science experience, including use of Python, databases, data cleaning, statistical methods and potentially machine learning techniques, along with the likes of PowerBI, Tableau and data visualisation tools in general. Experience creating and managing data pipelines, working with and developing data warehouses, data More ❯