1 to 25 of 61 Machine Learning Jobs in the Midlands

quality of life. Are you excited at the opportunity to electrify and decarbonize the world? We are looking for a passionate, creative, and results-oriented Machine Learning (ML) Engineer with substantial experience in the energy, smart infrastructure, or industrial automation sectors to join our AI & Grid Innovation team. In this role, you will be at the forefront of … developing, deploying, and validating cutting-edge AI/ML models designed specifically for grid innovation applications. You will play a key role in building systems to test and verify proof-of-concepts, delivering AI-driven solutions both at the edge and in the cloud. Reporting to the AI Director within the CTO organization, this position offers the opportunity to work … will be essential in shaping the company's mission to foster innovation, inclusivity, and progress. Job Description Essential Responsibilities: Lead the design, development, and deployment of scalable AI/ML models for grid innovation applications in the energy, smart infrastructure, or industrial automation sectors. Create innovative analytics to optimize grid system performance and product differentiation. Develop AI/ML applications More ❯

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 ❯

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 ❯

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 ❯

Job Description Summary We are looking for a skilled and results-oriented Data Scientist to join our team, with a focus on validating AI/ML models for grid innovation applications. This role involves the testing, verification, and validation of AI/ML models using grid data to ensure they meet accuracy, performance, and operational standards in energy systems. Reporting … utilities) or industrial automation (e.g., SCADA, PLC systems, Industry 4.0). A strong background in data science and data engineering, with the ability to develop and validate AI/ML models in complex, data-rich environments, is essential. Job Description Essential Responsibilities: Design and conduct experiments to test and validate AI/ML models in the context of energy systems … between expected and actual model behavior, providing actionable insights to improve model performance. Implement automated testing strategies and pipeline to streamline model validation processes. Collaborate with Data Engineers and ML Engineers to improve data quality, enhance model performance, and ensure efficient deployment of validated models. Ensure that validation processes adhere to data governance policies and industry standards. Communicate validation results 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 ❯

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 ❯

process improvement and innovation using data. Key Skills and Experience: * 5+ years of experience delivering end-to-end data science solutions in a commercial setting. * Strong technical expertise in machine learning, predictive modelling, and AI. * Proficient in Python, R, SQL, and familiar with Power BI or similar visualisation tools. * Experience applying Gen AI tools or techniques is highly 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 ❯

non-technical audiences Strong communication and problem-solving skills Interest in electric vehicles, logistics, renewable energy, or sustainability Desirable but not essential: Familiarity with IoT, smart grid technologies, or machine learning applications Knowledge of the transport or EV charging sector What’s on offer: Competitive salary and benefits package Hybrid working (West Midlands base with flexibility) Excellent career 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 ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯

on the knowledge of the Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step 5 is not a requirement for our job More ❯