16 of 16 Permanent Machine Learning Jobs in Birmingham

role, you’ll help design, develop, and deploy machine learning models that solve real-world problems — all while receiving hands-on training, mentoring, and support from experienced ML engineers and data scientists. Whether you studied Computer Science, Engineering, Data Science, or Maths — if you're passionate about machine learning, love to build, and eager to learn … this is the perfect opportunity to kickstart your career. What You’ll Be Doing You’ll play a key role in helping our team develop and deliver ML-powered solutions: Model Development : Assist in building and training machine learning and deep learning models using Python and ML frameworks like TensorFlow, PyTorch, or Scikit-learn Data Preparation : Work … and selection of relevant input features to improve model performance Model Evaluation : Learn to test models for accuracy, robustness, and fairness using best practices Deployment : Help package and deploy ML models into production using tools like Docker, APIs, or cloud platforms Collaboration : Work closely with software engineers, data scientists, and product teams to integrate ML into real products and services More ❯

Shape the Future with AI — Start Your Career Here Are you fascinated by artificial intelligence, machine learning, and data-driven innovation? Are you excited by the potential of AI to solve real-world problems and build smarter systems? We’re looking for an ambitious and curious Graduate AI Analyst/Engineer to join our AI & Data Science team. … foundation . Essential: A recent graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow, PyTorch, or Scikit-learn Strong … live AI projects with real business impact Structured Learning : Receive training and mentoring in AI tools, techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture : Be part of a collaborative, diverse More ❯

a driven and curious Graduate Data Scientist to join our growing data science team. This is a fantastic opportunity to gain hands-on experience working on real data challenges, learning from experienced professionals, and contributing to impactful projects from day one. Whether your background is in Data Science, Statistics, Mathematics, Computer Science, or a related field, if you have … strong analytical skills and a passion for learning, we want to hear from you. What You’ll Be Doing As a Graduate Data Scientist, you will support the design, development, and delivery of data science solutions across the business. You’ll work on: Data Exploration & Analysis : Use Python, R, or SQL to clean, explore, and visualise data to uncover … patterns and trends. Model Building : Assist in developing machine learning and statistical models to solve business problems (e.g., forecasting, segmentation, recommendation). Business Insight Generation : Translate data findings into actionable insights that drive decision-making. Data Storytelling : Present results through visualisations, reports, and presentations to both technical and non-technical audiences. Collaboration : Work closely with data engineers, analysts More ❯

A successful Head of Data Science should have: Proven experience in data science and analytics, ideally within the public sector or regulatory body. A strong background in statistical modelling, machine learning, and data visualisation tools Expert use of standard statistical tools e.g. R/Python and relevant associated libraries Deep expertise in building and maintaining AI and machine learning models, including use of deep learning, natural language processing, and LLMs Excellent leadership and team management skills. A solid understanding of data governance and ethical considerations. Outstanding communication skills to present complex data in an accessible manner. A degree or equivalent qualification in data science, mathematics, or a related field. Demonstrated ability to collaborate across departments More ❯

predictive modelling. You'll work closely with cross-functional teams to build tools and insights that support effective risk mitigation and informed decision-making. Key Responsibilities: Develop statistical and machine learning models to simulate risk scenarios. Analyse large datasets to uncover trends and emerging risks. Translate insights into actionable risk mitigation strategies. Build dashboards and visualisations for stakeholders. … data engineers to ensure clean, integrated data. Continuously refine models to adapt to evolving risk landscapes. Requirements: Experience as a data scientist. Strong Python and SQL skills. Experience with machine learning frameworks and statistical analysis. Knowledge of LLMs and AI modelling tools. Excellent communication and problem-solving skills. Comfortable working in a fast-paced, collaborative environment. Benefits: Salary More ❯

Large and complex datasets Azure, Azure Databricks Microsoft SQL Server Lakehouse, Delta Lake Data Warehousing ETL Database Design Python/PySpark Azure Blob Storage Azure Data Factory Desirable: Exposure ML/Machine Learning/AI/Artificial Intelligence More ❯

science, or a related field. Technical knowledge: · Expert use of standard statistical tools e.g. R/Python and relevant associated libraries · Deep expertise in building and maintaining AI and machine learning models, including use of deep learning, natural language processing, and LLMs. Job Offer With offices in Birmingham and London, this role is suitable for anyone able More ❯

AI-based architectures and recommend appropriate tools, technologies, and methodologies ️ Collaborate with business leaders to understand objectives and translate them into scalable AI models ️ Architect data pipelines to support machine learning workflows and model deployments ️ Evaluate and implement deep learning, computer vision, NLP, and predictive modeling solutions ️ Conduct risk assessments on AI implementations and mitigate compliance or More ❯

academic field. Strong programming background; must be able to quickly become fluent in Python . Proficiency with key data science libraries (NumPy, Pandas, Scikit-Learn) and experience with deep learning frameworks (TensorFlow, PyTorch, or Caffe). Strong mathematical and statistical skills. Broad knowledge of core data science techniques, such as: Supervised/unsupervised machine learning Cross-validation More ❯

transformation within manufacturing, FMCG, or a similar operational environment. Hands-on use of tools such as ChatGPT, Microsoft Copilot, predictive analytics, and automation platforms. Strong understanding of AI/ML frameworks and APIs (e.g. OpenAI API, TensorFlow, PyTorch). Excellent ability to translate business challenges into technical solutions. Solid project management and stakeholder engagement skills. Demonstrated success in delivering measurable More ❯

transformation within manufacturing, FMCG, or a similar operational environment. Hands-on use of tools such as ChatGPT, Microsoft Copilot, predictive analytics, and automation platforms. Strong understanding of AI/ML frameworks and APIs (e.g. OpenAI API, TensorFlow, PyTorch). Excellent ability to translate business challenges into technical solutions. Solid project management and stakeholder engagement skills. Demonstrated success in delivering measurable More ❯

with the CIO providing key recommendations in establishing scalable data foundations and enabling a basis for capitalising on emerging AI Technologies. Oversee deployment of advanced analytics tools, predictive analytics, machine learning and gen AI tech with the view of delivering actionable insights and enhancing products. Experience required: Bachelors in Computer Science, Data Science, Information Technology or related studies. 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 ❯

insights for continuous improvement and upsell opportunities. Lead and implement AI-driven monitoring tools to proactively identify and resolve system issues, ensuring optimal performance and uptime. Utilize AI and machine learning to predict, prevent, and manage incidents, reducing downtime and improving response times where possible. Define and track key performance indicators (KPIs) to measure the impact of AI … Collaboration: Work effectively as part of the Service Delivery team ensuring alignment with our client’s and company goals and objectives. Develop your sharing knowledge and experience to develop learning and experience. Work closely with cross-functional teams, including IT, DevOps, and business units, to align AI Ops initiatives with organisational goals. Educate teams on AI Ops tools and More ❯

property law, helping thousands of people to buy, sell and remortgage their home. They provide our clients with a stress-free online experience, underpinned by our process automation and machine learning platform, and delivered through our wholly owned English law firm. Their revenue has tripled year-on-year, and they’ve carved out a reputation as client-focused More ❯

deliver impact while building out teams, platforms, and solutions that scale across the business. The Role Own the organisation-wide data science strategy, with a focus on Generative AI, ML, and advanced analytics Be the senior voice on AI, influencing board-level discussions and shaping how data science drives commercial outcomes. Establish an AI Centre of Excellence to embed data … driven thinking across all functions. Deliver enterprise-scale GenAI solutions (e.g. copilots, virtual assistants, RAG systems) and lead classical ML initiatives. Define governance and ethical standards for responsible AI adoption. What We're Looking For Extensive senior leadership experience leading large, enterprise data science functions. A strong track record of delivering production-grade AI/ML solutions and driving adoption … at scale. Deep expertise in GenAI (LLMs, prompt engineering, RAG) as well as classical ML and experimentation. Hands-on knowledge of MLOps, cloud (AWS/Azure), and modern data science tools. Exceptional stakeholder skills - able to translate complex technical work into board-level strategy and outcomes. Robert Half Ltd acts as an employment business for temporary positions and an employment More ❯