1 to 25 of 54 Machine Learning Jobs in Birmingham

learning models that power data-driven products and business solutions. This role bridges data science and software engineering, focusing on production-ready ML systems, scalability, and performance. The ideal candidate has strong experience in Python, ML frameworks, data pipelines, and cloud platforms, and is comfortable working … unsupervised, and deep learning techniques as appropriate. Perform feature engineering, model tuning, and validation to improve accuracy and performance. 2. Productionisation & Deployment Deploy ML models into production using scalable, reliable architectures. Build and maintain APIs or batch pipelines for model inference. Monitor model performance, data drift, and retraining needs. ...

individual have the drive and experience to transfer knowledge Strong Modelling experience Must have Model Productionisation experience Have prior pricing knowledge or have delivered ML techniques to existing pricing models. Financial Services or Insurance experience would be preferable but not limited to. Full Tech Stack - Databricks, PySpark, Microsoft Azure, Azure … ML, Azure Stream Analytics, Cognitive Services, Event Hubs, Synapse, Data Factory. This is a fantastic role for an experienced Machine Learning Engineer or Pricing Optimisation Manager with a passion for innovation, optimisation and model productionisation. Location: UK Remote Salary: Up to £80,000 + excellent benefits Applicants MUST ...

semi-autonomous agents using modern agent frameworks and Google AI tooling. Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions. Monitor, optimise, and continuously improve models in live production environments. Contribute to the architecture and evolution of the AI platform and supporting data infrastructure. … Stay current with emerging research, tools, and best practices across ML and Generative AI. What We're Looking For Essential 5+ years' experience in machine learning engineering or applied AI roles. Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems. Strong Python skills using ...

Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe About Us We build AI assistants that make technical knowledge instantly accessible. As a research engineer, you will work on advancing our system's ability to answer increasingly complex technical questions. Our technology … techniques (e.g., lexical search, dense vector search) Comfort working in a fast-moving environment with ambiguous problem spaces A desire to learn more about ML research Please note that this position is fully remote in Europe but you MUST have the right to work in your country of residence. Machine ...

with cross-functional teams at all stages, to turn insights into impactful products. In this role you will Work end-to-end on new ML models from development through to training and optimising Work closely with a small team of data scientists, engineers and product managers Implement scalable data pipelines … conduct performance evaluations of models What we're looking for 3+ years of industry or research experience Python and SQL proficiency, with experience using ML frameworks e.g PyTorch Experience with Azure cloud Driven to progress within a growing SME What our client are offering £70,000 - £80,000 salary ...

Director of AI | Machine Learning | Deep Learning | Natural Language Processing | Large Language Models | Leadership | Remote, UK Role Overview As the AI Director at a fast-growing, well-funded technology startup, you will lead the strategy, research, and implementation of the company's AI initiatives, driving the technical … LLMs, agents, and related fields, converting research insights into actionable roadmap items. Qualifications Deep LLM/Generative AI Expertise 7+ years in AI/ML with 3+ years focused on LLMs, generative AI, and agent systems, including hands-on experience with transformer architectures, fine-tuning, and production deployments. Proven Product ...

client is seeking a Machine Learning Engineer to join their technology team. The role involves developing, implementing, and optimising AI/ML models for real-world energy and infrastructure applications. The ideal candidate will have hands-on experience delivering production-ready ML solutions and a strong understanding … system performance, predictive analytics, and data-driven decision making. Key Responsibilities: · Design, implement, and deploy scalable AI/ML models to support energy and infrastructure operations. · Build and validate proof-of-concept solutions, ensuring models perform reliably in live environments. · Develop predictive analytics, forecasting, and optimisation tools to improve operational ...

seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you'll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring … that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals. Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment. Collaborate with ...

business stakeholders to implement real-world intelligent systems using technologies such as Python, PyTorch, and Azure. Do you have? Experience developing AI/ML solutions using Python? Knowledge of frameworks such as PyTorch (preferred), TensorFlow, or Scikit-learn? Experience with NLP, deep learning, or computer vision? Familiarity with MLOps … tools (Azure ML Pipelines, MLflow, Docker, Kubernetes)? Experience working with cloud platforms such as Azure, GCP, or AWS? The abbility to engage with technical and non-technical teams? Would you like to? Join an organisation that is investing in AI innovation as part of a wider digital transformation journey ...

Engineer Python, Machine Learning, NLP, Azure An AI Engineer is required by Whitehall Resources for a permanent position with our UK-based client. This role offers hybrid working, with the flexibility to be based from offices in either Birmingham or Manchester three days a week. … Engineer, youll be responsible for designing, developing, and deploying AI and Machine Learning solutions tha click apply for full job details ...

1.5 hours per session) Deliver practical, industry-aligned training on: Python for Data Science Statistics & Probability Exploratory Data Analysis (EDA) Data Visualization (Matplotlib, Seaborn) Machine Learning (Supervised & Unsupervised) Model Evaluation & Optimization Guide learners through hands-on projects and case studies Support learners during doubt-resolution and interactive discussions … required Ensure session recordings and learning quality standards are maintained Required Skills & Qualifications 4+ years of experience in Data Science/Analytics/ML Strong proficiency in Python, Pandas, NumPy, Scikit-learn Solid understanding of statistics, ML algorithms, and data workflows Prior experience in training, mentoring, or teaching (preferred ...

apply their knowledge effectively in real-world scenarios. In addition to training delivery, you’ll play a key role in shaping the future of learning by contributing insights to the design and development of cutting-edge courses. With strong technical expertise in GenAI, machine learning, Python … Experience Desirable hands-on experience with leading AI frameworks (e.g. TensorFlow, PyTorch) Familiarity with cloud platforms (AWS, GCP, Azure) Experience working with AI/ML engineers, data scientists, and other data professionals Wider Requirements Passion for education, technology, and empowering others through knowledge sharing Qualifications: Desirable degree in Mathematics ...

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 ...

/ML Engineer - Financial Services Contract: 12 months Location: Birmingham (5 days on-site, non-negotiable) Rate: Up to £650/day IR35: Outside Key Responsibilities Design, build, and deploy AI workflows and ML pipelines across large-scale cloud infrastructures. Work on enterprise-level financial services projects , ensuring scalability … compliance. Collaborate with cross-functional teams to deliver robust AI solutions. Required Skills Proven experience in AI/ML pipeline development and deployment. Strong background in Python , Machine Learning , and Data Engineering . Expertise in AWS and/or Azure cloud platforms. Hands-on experience with PyTorch , LLMs ...

will be the principal technical leader, driving strategy, setting standards, and delivering high-impact solutions that transform business outcomes. Key Responsibilities AI/ML Strategy & Architecture: Define the technical roadmap and architectural standards for deploying and scaling complex AI systems, particularly those involving Generative AI (GenAI), large language models (LLMs … using Apache Spark (Scala) and Hive on massive datasets to support model training and inference. Cross-Cloud Execution: Lead the design and deployment of ML models and data infrastructure across multiple major cloud providers (AWS, Azure, and GCP), ensuring portability, scalability, and cost efficiency. Specialized Model Development: Lead hands ...

there are no surprises Building things that actually work Once the problem and value are clear, you will design and deliver production ready ML and GenAI solutions. That includes: Designing and building data pipelines, batch or streaming, that support the desired outcomes Working with engineers and architects so your work … protect value over time: Experiment tracking and model versioning so you know what works and can roll back safely CI/CD pipelines for ML so improvements reach users quickly and reliably Monitoring and alerting for models and data so you can catch issues before they damage trust or results ...

hands-on delivery of technical solutions. Proven track record of delivering and managing innovation programs, AI solutions is a plus. Strong understanding of Machine Learning, cloud platforms and digital platforms is essential. Experience in working with multiple third-party vendors and partners to deliver complex solutions. Team building ...

technology company operating at the intersection of healthcare and legal technology. This role exists to build the core data platform that underpins AI and machine learning work. The business is moving beyond fragmented data and needs someone who can design and deliver a structured, secure and compliant data … Looking For Strong experience as a Data Engineer in production environments Strong Python and SQL Experience building data platforms that directly support AI or ML teams Solid understanding of AI data lifecycles (datasets, versioning, drift, reproducibility) Experience with Azure-based data platforms Experience with containerisation (Docker, Kubernetes) Strong understanding ...

MLOps workflows. · Work across internal products and contract-based venture projects. Requirements · Strong foundational programming skills in Python. · Basic understanding of AI/ML models and how they are trained, deployed, and run. · Familiarity/understanding with version control software (git). · Ability to work in a fast-moving environment ...

Data & AI program strategy aligned with business and digital transformation objectives. Build and manage a multi-year roadmap covering data platforms, advanced analytics, machine learning, and GenAI applications. Identify high-value business use cases in areas such as marketing, R&D, medical affairs, quality, manufacturing, and supply chain. … data, analytics, AI, or digital transformation roles. Proven track record leading complex data/AI programs in regulated environments. Strong understanding of data architecture, ML/AI technologies, and cloud platforms (e.g., AWS, Azure, GCP). Experience working with cross-functional teams in commercial, R&D, medical, or supply chain ...

sales/solutions consulting/technical consulting roles, especially in the Financial Services or Wealth Management space. Strong technical background: experience with machine learning, LLMs and AI systems; understanding of data pipelines, integrations, APIs, security and compliance sensitive environments. Ability to design solutions vs just selling features: architectural … career growth opportunities 34 days holiday plus your birthday off (inclusive of bank holidays) Share options – we believe in shared success Skills development – continuous learning is at our core, expect the development to be front and centre of everything you do Remote and flexible working – remote, co-working spaces ...

responsibilities: Design, develop, and maintain Front End and Back End components of an AI-driven redaction service Collaborate closely with Data Scientists to productionise machine learning prototypes Deliver MVP functionality using Agile methodologies , working in fortnightly sprints Enhance software resilience, stability, and scalability Work effectively with and improve ...

into high-quality, structured datasets • Collaborating with engineers and legal specialists to build tools that genuinely shift workloads What they're looking for: • Strong ML fundamentals and hands-on LLM experience • Proficiency in Python and familiarity with modern AI tooling (e.g. embeddings, retrieval, multi-agent architectures, document understanding) • Experience building ...

staffing and talent acquisition platform dedicated to helping leading organisations connect with exceptional talent. As we expand into the cybersecurity, AI/ML, and cloud technology domains, we are inviting passionate and detail-oriented individuals to join our Cyber Security Internship Cohort. Role Overview As a Cyber Security Intern ...

Support strategic account leads in identifying opportunities for deepened client engagement. Business-Technical Communication Serve as the trusted bridge between engineering teams (AI/ML, data, DevOps) and non-technical stakeholders. Frame technical progress and limitations in accessible, value-oriented language. Support tech leads by surfacing risks and clarifying feasibility ...