1 to 25 of 81 Permanent Machine Learning Jobs in the West Midlands

AI/ML Engineer Department: Analytics Employment Type: Permanent Location: Birmingham/Leeds Reporting To: Quantitative Development Manager Compensation: Circa £54,000 Description Contract type: Permanent Hours: Full Time or Part Time; 37.5 hours per week (FTE) Salary: circa £54,000 Location: Leeds or Birmingham office WFH policy: At least two days a week in the office (and or on … to: Quantitative Development Manager Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications. The AI/ML Engineer will play a key role in developing secure, scalable, and impactful AI and machine learning solutions across LCCC. This includes building and improving generative bespoke AI tools … and delivering applied ML use cases that enhance our operations. Working closely with analysts, developers, and technical leads, the AI/ML Engineer will take functional ownership of AI/ML engineering, ensuring solutions are aligned with best practices in software design, security, and maintainability. The role will also contribute to setting foundational MLOps and engineering standards that enable responsible More ❯

and iterative refinement Collaborate with cross-functional teams including researchers, engineers, and external partners to develop, test, and scale innovative digital twin solutions Guide the development and deployment of machine learning models that power real-time, multimodal construction insights Ensure high-quality, maintainable code through robust documentation, testing, and software development best practices Communicate key findings and recommendations … related field 10+ years of experience in Digital construction including 5+ of experience in the specificity of Construction Site Digital Twin or similar research Deep understanding of AI/ML concepts applied to Digital Twin, with extensive hands-on experience in training and fine-tuning models using frameworks such as PyTorch or TensorFlow Proficiency with Generative AI tools such as … GPT, DALL-E, Gemini, and a solid understanding of underlying Machine Learning pipelines Exceptional analytical and problem-solving skills Creative, flexible, and adept at working with new technology Extensive experience in coding (C++, Python) Strong experience with cloud services & architectures (AWS, Azure, etc.) Excellent written communication skills to document code, architectures, and experiments Preferred Qualifications Knowledge of the 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 science and engineering initiatives within a growing and forward-thinking software provider. You'll play a key role in shaping a unified data platform and delivering high-impact machine learning and data solutions across cloud and hybrid environments. This is a hands-on leadership role, combining deep technical expertise with mentoring and cross-functional collaboration. What You … modern data platform and DaaS (Data-as-a-Service) infrastructure Lead and mentor a team of data scientists and engineers across multiple projects Oversee the deployment and monitoring of machine learning models in production Define coding standards and implement best practices in CI/CD, MLOps, and API delivery Collaborate with business, product, and engineering teams to align … governance, security, and compliance throughout the data lifecycle Evaluate and introduce new technologies to enhance performance, scalability, and maintainability What We're Looking For: Extensive experience in data science, machine learning engineering , or data platform architecture Proven leadership within technical teams, ideally in cloud-first environments (Azure, AWS, or GCP) Proficiency in Python, SQL , and cloud-native data 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 . The More ❯

bring solutions to life Helping upskill non-tech stakeholders across the Tax team Digging into processes, spotting inefficiencies, and automating the boring stuff Keeping up with emerging tech (AI, ML, RPA, etc.) and testing what actually works ?? What We're Looking For Proven experience with Python and SQL (data wrangling, automation, analytics) Understanding of tax or finance processes OR experience … you'll work closely with non-tech users) Bonus points if you have: Experience with Alteryx , Power BI , or data visualisation tools Knowledge of Agile , database design, or classic ML algorithms Certifications (e.g., ATT, Alteryx) or a data science background ?? What You'll Get Up to £65,000 + 26 days holiday (+ option to buy more) ?Why Join? You More ❯

Python/Spark/Scala. Database technologies in relation to Data Warehousing/Data Lake/Lake housing patterns and relevant experience when handling structured and non-structured data Machine Learning - Experience of industrialising and scaling machine learning models. Experience with machine learning frameworks such as TensorFlow/PyTorch Strong communication skills Nice to 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 . Goldman More ❯

frameworks to improve the effectiveness of data engineering processes and product development Influence the evolution of the company's data architecture to support emerging needs and business growth, including machine learning and AI-based solutions Lead efforts to modernise and scale the data infrastructure, ensuring flexibility for future needs Stakeholder Communication & Reporting: Communicate the status, strategy, and outcomes 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 . Goldman More ❯

their unified data platform and Data-as-a-Service (DaaS) capabilities. This is a hands-on leadership role ideal for someone who thrives at the intersection of data engineering, machine learning, and modern cloud infrastructure. You'll provide technical direction to a growing team of engineers and data scientists while collaborating with cross-functional stakeholders across product, engineering … wider business. Key Responsibilities: Lead the architecture and development of scalable data platforms and DaaS infrastructure (cloud & hybrid). Define best practices and technical standards across data engineering and ML workflows. Mentor and guide a multidisciplinary team, promoting robust CI/CD and monitoring strategies. Oversee deployment and governance of ML models in production environments. Collaborate on the design of … secure, scalable data APIs for self-serve analytics. Evaluate and introduce new tools and technologies to drive performance and scalability. Required Experience: Extensive background in data science, ML engineering, or data platform engineering. Experience in a recent technical lead or architect-level role. Proven delivery of large-scale data systems using cloud platforms (AWS, Azure, or GCP). Deep knowledge More ❯

their unified data platform and Data-as-a-Service (DaaS) capabilities. This is a hands-on leadership role ideal for someone who thrives at the intersection of data engineering, machine learning, and modern cloud infrastructure. You'll provide technical direction to a growing team of engineers and data scientists while collaborating with cross-functional stakeholders across product, engineering … wider business. Key Responsibilities: Lead the architecture and development of scalable data platforms and DaaS infrastructure (cloud & hybrid). Define best practices and technical standards across data engineering and ML workflows. Mentor and guide a multidisciplinary team, promoting robust CI/CD and monitoring strategies. Oversee deployment and governance of ML models in production environments. Collaborate on the design of … secure, scalable data APIs for self-serve analytics. Evaluate and introduce new tools and technologies to drive performance and scalability. Required Experience: Extensive background in data science, ML engineering, or data platform engineering. Experience in a recent technical lead or architect-level role. Proven delivery of large-scale data systems using cloud platforms (AWS, Azure, or GCP). Deep knowledge More ❯

within a fast-evolving SaaS business? We're looking for a Technical Lead within Data Science & Engineering to drive the technical direction of a modern data platform supporting analytics, machine learning and Data-as-a-Service (DaaS) capabilities. In this role you'll combine deep technical expertise with cross-functional leadership mentoring a multidisciplinary team and guiding the … and DaaS solutions Acting as the technical authority across data science and engineering, setting standards for tools, patterns and workflows Leading design and implementation of robust, secure pipelines and ML workflows Collaborating with product, engineering and business teams to define strategy and deliver data solutions that matter Mentoring team members, supporting professional growth and technical delivery Overseeing deployment, monitoring and … ethical use of ML models in production Designing APIs and data interfaces for internal and external consumption Evaluating and adopting new tools to enhance performance, maintainability and scalability What We're Looking For Strong experience in data science, data platform or ML engineering roles including recent experience in a technical leadership or architect-level position Proven track record of building More ❯

availability. Optimise data analytics platforms to gain insights and support decision-making in a meaningful way for every user. Oversee the deployment of advanced analytics tools, including predictive analytics, machine learning, and generative AI, to deliver actionable insights that enhance products and competitive practices. Collaborate with business stakeholders to identify key metrics and develop dashboard and reporting tools … data strategies, with a strong understanding of data governance, quality and compliance. Proven experience in designing scalable data architectures and integrating diverse data sources. Strong knowledge of advanced analytics, machine learning and BI tools. Excellent Leadership, communication and stakeholder management skills. Ability to thrive in a fast-paces, dynamic environment and drive change across multiple departments. What's More ❯

access principles, and assuming breach to limit risk. Comfortable with creating and maintaining architectural documentation including LLD/HLDs. Knowledge of Azure AI services and tools, such as Azure Machine Learning and Azure AI Studio. The ability to lead technical projects and work with other technical teams to deliver to project closure. Strong problem-solving abilities and effective More ❯

AI-powered capabilities. As a Senior Machine Learning Engineer, you will leverage your engineering skillset and research expertise to tackle complex problems in building comprehensive AI/ML solutions. Your involvement will span from data preparation at a massive scale to model training and evaluation, culminating in the release of ML-based automation capabilities as reliable, scalable, and … utilized by millions of Autodesk Fusion users on a daily basis and made available on Autodesk Platform Services, Autodesk's global developer ecosystem. Your extensive knowledge of AI/ML technology design, development, and deployment, coupled with solid cloud computing experience, will be crucial for successfully implementing cloud-based AI-powered solutions. You will guide the team in determining methods … technologies, and best practices, informed by the latest AI/ML research and industry developments. Additionally, you will have a solid understanding of non-functional requirements and governance models for cloud-based AI systems, such as SOC2 and ISO 42001. Your ability to efficiently handle the demands of a dynamic, fast-paced research and development environment will be key to More ❯

Senior AI/ML Consultant Application Deadline: 16 July 2025 Department: Analytics Employment Type: Permanent Location: London/Leeds/Birmingham Reporting To: Head of Analytics Compensation: circa £68,000 Description Contract type: Permanent Hours: Full Time, 37.5 hours per week Salary: circa £68,000 depending on experience Location: London, Leeds, or Birmingham offices WFH policy: Employees are required to … Analytics Deadline Note: We reserve the right to close the advert before the advertised deadline if there are a high volume of applications. Role Summary: The Senior AI/ML Consultant plays a pivotal role in defining and developing LCCC's internal AI and machine learning capabilities. Focused on delivering practical, secure, and ethical solutions, the role will … drive innovation that enhances operational efficiency and aligns with LCCC's wider digital strategy. Working directly with business teams, the Senior AI/ML Consultant identifies high-impact opportunities, shapes scalable AI and automation solutions, and leads cross-functional delivery. They own the full solution lifecycle - from problem definition and stakeholder engagement to product strategy, development, and adoption. Acting as More ❯

right up to the largest supercomputers in the world. Our tools span a wide range of use cases: from C/C Python developers writing multithreaded server applications, through ML and data analysis, to HPC developers scaling programs to millions of cores. To learn more about Linaro Forge please visit . Main Duties Develop quality functionality on schedule, including specification … following skills and experience during this role. You do not need any of these to apply or succeed in your application. High performance computing applications, libraries or parallel programming. ML frameworks e.g. PyTorch. DevOps tools e.g. CMake, Conan, Jenkins, Git/Gerrit, Nexus, Ansible, Terraform, Packer. Python programming. Operating system, compiler and debugger internals - for example the DWARF standard. Developing More ❯

Responsibilities: Lead the design and implementation of scalable data infrastructure for machine learning, analytics, and reporting. Develop and launch secure APIs and DaaS solutions. Deploy production-ready ML models and manage their lifecycle. Promote data governance and quality standards across the platform. Collaborate with cross-functional teams to translate business challenges into technical solutions. Tech Stack Includes: Python … SQL, Azure, Postgres, Langchain, Ollama, Polars, GitLab CI/CD, Systemd, Ansible Ideal Candidate Profile: Significant experience as a Data Science or ML Engineer, with leadership responsibilities. Strong Python skills and experience with cloud-based data platforms (preferably Azure). Proven success deploying ML models into production. Solid understanding of data privacy, governance, and API development. Excellent communication skills and More ❯

Responsibilities: Lead the design and implementation of scalable data infrastructure for machine learning, analytics, and reporting. Develop and launch secure APIs and DaaS solutions. Deploy production-ready ML models and manage their lifecycle. Promote data governance and quality standards across the platform. Collaborate with cross-functional teams to translate business challenges into technical solutions. Tech Stack Includes: Python … SQL, Azure, Postgres, Langchain, Ollama, Polars, GitLab CI/CD, Systemd, Ansible Ideal Candidate Profile: Significant experience as a Data Science or ML Engineer, with leadership responsibilities. Strong Python skills and experience with cloud-based data platforms (preferably Azure). Proven success deploying ML models into production. Solid understanding of data privacy, governance, and API development. Excellent communication skills and More ❯

architects, and product stakeholders to ensure real-world impact through data. What You'll Be Doing: Architect and implement scalable pipelines and data systems that power advanced analytics and ML applications Lead the rollout of data products, including APIs and secure data delivery mechanisms for clients and internal use Partner with cross-functional teams to align data solutions with wider … business goals Take ownership of productionising ML models and integrating them into operational systems Improve access to data through the development of self-serve analytics tools Support data quality, privacy, and governance across platforms Explore emerging tools and methods to keep our stack future-ready What We're Looking For: Strong background in data science or ML engineering , with leadership … cloud-based environments (preferably Azure) Hands-on experience with tools such as Postgres, Langchain, Ollama, Polars, GitLab CI/CD, and Unix-based systems Proven track record of deploying ML models into production and managing lifecycle Comfortable designing data services/APIs and supporting self-serve analytics platforms Solid understanding of data privacy regulations (e.g. GDPR), and best practice in More ❯

some of the best talent in the industry to create innovative high quality and defect-free solutions to meet our clients' business needs. You will be part of a learning culture, where teamwork and collaboration are encouraged, excellence is rewarded, and diversity is respected and valued Required Qualification: Job description Infosys is seeking a Performance Test Lead . As … integrating testing best practices into the application development lifecycle to successfully reduce friction, identify potential problems early, and improve cross-collaboration. Researches Artificial Intelligence (AI) including machine language (ML), robotics, and other advanced and emerging technologies to improve automation efficiency and analytics. Participates in PI and sprint planning. Guides, leads, and influences teams in developing technical understanding and skillset … applications and platforms. Proficient in Performance Testing and QAE. Proficient in understanding of Testing Tools and Integrations. Tools : LoadRunner is mandatory with knowledge of Selenium or Tosca. AI/ML knowledge is plus The job entails sitting as well as working at a computer for extended periods of time. Should be able to communicate by telephone, email or face to More ❯

how data is managed and deliver to customers. Why this role? Major voice in shaping how we build and scale our data products Involved in automation, pipeline design, and machine learning projects High-impact role in a small, agile team with real ownership You'll need: Strong Python and SQL Solid AWS experience (Glue, Lambda, SQS, S3, etc. … and recommendations to enhance the business and how they manage their data Desirable : Degree in mathematics, statistics, or computer science Experience with DevOps tools (Docker, Kubernetes, etc.) Exposure to machine learning concepts What you'll get: Salary up to £55k Flexible hybrid model - only 1 day per quarter in the office, Lincolnshire Permanent opportunity We are an equal More ❯

data set giving one point of truth Clear understand business requirements and propose/implement complete solutions Create easy to understand and clear data visualisations Creation and maintenance of machine learning models Create and undertake testing procedures/policies using test-driven development methodologies Query writing/building System contingency planning and implementations Essential Requirements A mathematics/… computer science background with knowledge of numerous machine learning models - some alternative degrees will be considered Experience with data visualisation tools (Power BI etc.) Exceptional Microsoft Office skills Detail orientation with structured thinking A problem solver with the ability to multi-task A top performer who is comfortable in an unstructured environment which values initiative, creativity, maturity, poise More ❯

will develop credit risk analytics solutions to enhance Credit Scoring & Lending decisioning to optimise and grow their loan portfolio. Key Responsibilities: Developing and implementing advanced statistical models and preferably machine learning algorithms to predict credit risk, optimise credit scoring, and enhance our decision-making/underwriting processes. Develop and maintain predictive models to assess credit risk and forecast More ❯