18 of 18 Machine Learning Jobs in Birmingham

Machine Learning Engineer with generative AI, LLM or ML experience is sought by a high growth scale up based near Birmingham. Working at the forefront of national security innovation this Machine Learning Engineer will work within a R&D team collaborating with industry partners to turn … would suit a software engineer with a couple of years commercial experience within broad range of technologies and a demonstratable passion for AI/ML innovation who is looking for a truly collaborative, autonomous working environment with end to end project exposure. In return this Machine Learning Engineer ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

growing, well-supported data team that is investing heavily in modernisation and advanced analytics. You will be part of a collaborative engineering environment where learning, progression, and exposure to cutting-edge technologies are central to the role. The Company They are a well-established UK-based organisation with … Supporting CI/CD processes and applying DevOps best practices Contributing to code deployment, testing, and release processes Collaborating with engineers, QA specialists, and machine learning teams Working across multiple squads to deliver high-quality data solutions Supporting the ongoing development of the Databricks platform Gaining exposure ...

repeatable insights that go beyond one-off analysis and can be generalized across teams, accounts, or platforms. Conduct deep-dive analyses using statistical methods, machine learning, and modern GenAI techniques to uncover root causes, anomalies, and opportunity spaces. Leverage GenAI as a force multiplier to explore data, generate … aligning stakeholders around action. Participate in continuous improvement activities (e.g., goal deployment, Kaizen-style initiatives) to identify where data and tooling can accelerate learning and results. Quantify impact by tying insights to measurable outcomes such as efficiency gains, cost reduction, cycle time improvement, or quality uplift. Document patterns, methods ...

partner teams; avoid duplication, ensure accountability. Collaborate with Product Managers to embed AI capabilities into broader product strategies. Work closely with Data Scientists, ML Engineers, and MLOps teams to ensure technical feasibility and scalability. Act as the primary liaison between business stakeholders and AI team. Educate stakeholders on AI capabilities … field; advanced degree desirable. Knowledge & Experience Demonstrable experience of AI product delivery/ownership within insurance or financial services. Strong understanding of AI/ML concepts, model lifecycle, and MLOps. Knowledge of ethical AI principles and regulatory frameworks. Stakeholder influence, structured problem-solving, commercial acumen, clear communication, and change leadership. ...

forefront of innovation by joining a leading AI research firm, building ML models that power products and drive decision-making at scale. Build, train, and deploy machine learning models using Python, TensorFlow, PyTorch Work on supervised, unsupervised, and reinforcement learning problems Clean and process large datasets … extract insights and train algorithms Perform feature engineering to improve model accuracy Design ML pipelines and automate model deployment Collaborate with software engineers to integrate models into applications Use MLOps practices for monitoring, retraining, and lifecycle management Conduct A/B tests and measure real-world model performance Stay ...

Complete online training designed to take you from beginner level to your first AI Engineer role. Study part-time, build practical artificial intelligence and machine learning skills, and receive dedicated job support to help you secure employment. The Programme Complete this 10 14 week online programme with approximately … hours of study per week. You ll learn Python programming, machine learning fundamentals, data handling, and applied AI use cases. The programme includes hands-on projects, real-world problem-solving, portfolio development, expert tutor support, and career guidance. The Outcome Entry-level AI Engineer roles across multiple industries. ...

Requirements: Graduate degree in a STEM field such as Computer Science, Engineering, Statistics, or equivalent practical experience 5+ years of experience developing AI/ML applications and data driven solutions Excellent knowledge of Python and core data science libraries such as pandas, scikit-learn, LangChain, etc. Experience with LLMs, e.g. … foundation model APIs, prompt engineering, retrieval augmented generation Substantial depth and breadth across state-of-the-art AI/ML techniques such as Generative AI, NLP, Deep Learning, etc. Understanding of CS fundamentals, computational complexity, and algorithm design Ability to engineer and deploy well-architected software packages Strong communication ...

with tools and techniques for data testing, documentation and lineage. Examples include Great Expectations or dbt. AI and MLOps Understanding of how to operationalise machine learning models in production, including model packaging, monitoring and controlled deployment. Containerisation and Kubernetes Confidence deploying applications in containerised environments, including defining services … employees are eligible to request flexible working arrangements. 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 ...

Data Lake and Synapse environments Data pipelines and ETL/ELT processes SQL and analytics datasets Power BI reporting and data models AI and machine learning-enabled insights API integrations and connected data services Alongside delivering hands-on engineering work, youll mentor Data Engineers and Power BI developers … data modelling ETL/ELT pipeline design Azure Synapse Azure Data Lake Microsoft Fabric Power BI Azure DevOps API integrations Exposure to AI, ML or Copilot-enabled initiatives Just as important are communication skills, curiosity and the ability to work collaboratively across teams. Why Join? £60,000 - £70,000 salary ...

communication skills Desirable Skills React/TypeScript frontend experience Infrastructure as Code GraphQL/AppSync Event-driven architectures IoT/edge systems AI/machine learning feature development Benefits Hybrid working Modern cloud-native technology stack Exposure to AI and emerging technologies High ownership engineering role Collaborative team ...

Requirements Current Head of AI, Head of Data Science, or Senior AI Lead ready to step up. Proven experience building and scaling AI/ML teams (0–10/0–15) . Insurance experience Strong technical credibility in ML, AI, and enterprise platforms. Hands-on experience with Azure, Databricks … ML tools (TensorFlow, PyTorch, Scikit-learn). Knowledge of Responsible AI, ethical frameworks, and compliance standards . Experience in insurance or regulated financial services preferred. Comfortable presenting to and influencing executives . Collaborative, adaptable, and able to navigate complex stakeholder environments . To apply: Please reach out via LinkedIn ...

standards and establish a robust data governance framework, developing data quality and security standards in line with regulatory requirements. Ensure readiness for AI/ML integration. Evaluate emerging tools, cloud platforms and analytics technologies. Work with external partners to establish a “single version of the truth” across the industry ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. This step ...

receive structured job support to help you secure your first role. The Programme This 10 14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer ...

Providing technical leadership across key domains in data and AI Demonstrating deep expertise in one or more areas such as data platforms, AI/ML, analytics, data governance, or integration. Setting direction, establishing best practices, and ensuring architectural quality across engagements, while staying at the forefront of emerging technologies … you. Proven experience in Enterprise and/or Solution Architecture, ideally within data, AI, or analytics-focused environments Experience shaping or delivering AI/ML and advanced analytics solutions, with an appreciation of both technical and ethical considerations Demonstrated experience advising senior stakeholders and building trusted relationships across business ...

looking for Experience with data-heavy applications, whether that’s ETL/ELT pipelines, data lakes, or working alongside data science and ML teams. Confidence working across multiple teams and stakeholders, turning business problems into well-defined technical solutions. Knowledge of Vertex AI or GCP's broader AI/ML ...

strategic bids (cloud, data, AI, automation). Translate business and outcome requirements into clear, integrated technical blueprints. Define architecture vision across AI/ML platforms, analytics, automation, integration and security. Balance innovation with cost, risk, and delivery feasibility. Bid & Pursuit Engagement Act as the technical design authority across bid cycles. … into mobilisation teams post-award, ensuring architecture continuity. Required Skills & Experience Proven experience designing large-scale digital transformation solutions. Deep knowledge of AI/ML , data platforms, analytics, automation and cloud architectures. Strong experience with AWS/Azure , APIs, microservices, integration and event-driven systems. Proven track record leading solution ...