1 to 25 of 472 Machine Learning Jobs in the East of England

support decision making within Supply Chain/Analytics & Insight Experience with merchandising, fulfilment operations (customer fulfilment centres or store-based), Ecommerce or last mile home delivery operations Experience with Machine Learning Experience using Looker (building Explores and dashboards) Experience using Python (or other data oriented programming languages) What do I get in return: Hybrid working (2 days in More ❯

deployment, ensuring that AI innovations translate into business value. We embrace a fast-paced, entrepreneurial mindset, enabling us to iterate rapidly and refine our AI strategies based on continuous learning and real-world feedback. In this role your key responsibilities will include: AI Research and Model Development Conducting research in AI, using a full range of machine learning … the entire HR lifecycle. Designing and optimising AI that enhances automation and decision-making. Ensuring AI models are scalable and efficient for real-world enterprise deployment. Experimenting with different machine learning and GenAI techniques, including prompt engineering, RAG (Retrieval Augmented Generation), fine-tuning of LLMs, RLHF (reinforcement learning with human feedback), and adversarial techniques. Evaluating AI model … and contributing to internal strategy discussions. Engaging with customers to understand AI needs and create practical solutions. Continuous learning and innovation. Staying up-to-date with AI and ML research relevant to HR and workforce management. Exploring new techniques in deep learning and generative AI. Publishing research findings in internal reports and industry conferences. Prototype and testing AI More ❯

how to leverage LLMs, neural networks, and emerging AI technologies to solve complex application testing and deployment challenges. Key job responsibilities Design AI-powered test automation frameworks that leverage machine learning for intelligent test case generation, predictive analytics, and autonomous test maintenance across mobile and cloud platforms Architect next-generation test infrastructure that combines traditional CI/CD … distributed systems Pioneer innovative quality practices that leverage AI for automated performance analysis, intelligent chaos engineering scenarios, and predictive system reliability testing Design self-healing test systems that use machine learning to adapt to application changes, automatically … maintain test suites, and provide AI-driven insights into test coverage Drive adoption of AI-augmented testing practices across teams, focusing on the integration of intelligent automation tools and ML-based testing approaches in our development workflow A day in the life As a Senior Test Innovation Engineer, you'll lead the evolution of our next-generation automation platform while More ❯

RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/ More ❯

RnD research process and associated regulatory requirements. Exposure to healthcare data standards (CDISC, HL7, FHIR, SNOMED CT, OMOP, DICOM). Experience to big data technologies and handling. Knowledge of machine learning operations (MLOps) and model deployment. Strong problem-solving and analytical abilities. Excellent communication skills for collaborating with stakeholders. Experience working in an Agile development environment. Required/ More ❯

communication with a perfect command of English. Preferred Qualifications: PhD in Computer Science, Engineering, Physics, Data Science, Operations Research, or related field. Experience designing and deploying Infrastructure to support machine learning and data analytics solutions. Experience in data engineering infrastructure, data warehousing, cross-region replication Project Management certifications, e.g. PMP Cloud Certifications in AWS, Azure, GCP Kubernetes Certifications More ❯

be able to offer this Site Reliability Engineer role working for an industry-leading software company in Cambridge. This company has won several awards and is pioneering in their machine learning technology. Founded 8 years ago, with a team of 150 brilliant engineers, they are already renowned as having game-changing technology within their industry, with exciting scope More ❯

to login/join with: Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. Brainpool provides companies with end … and commercial people. BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source models like GPT-4 and More ❯

to login/join with: Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. Brainpool provides companies with end … and commercial people. BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source models like GPT-4 and More ❯

to login/join with: Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. Brainpool provides companies with end … and commercial people. BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source models like GPT-4 and More ❯

to login/join with: Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. Brainpool provides companies with end … and commercial people. BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source models like GPT-4 and More ❯

to login/join with: Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. Brainpool provides companies with end … and commercial people. BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source models like GPT-4 and More ❯

to login/join with: Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. Brainpool provides companies with end … and commercial people. BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source models like GPT-4 and More ❯

15.07.2025 col-wide Job Description: Brainpool is a fast growing AI start-up, providing custom AI services for business since 2017. Brainpool network of 500 top-level AI and Machine Learning experts supporting delivery of our projects include PhD and MSc-level scientists from top universities such as UCL, Oxford, Cambridge and Harvard. Brainpool provides companies with end … and commercial people. BSc or a MSc in Mathematics, Physics, Computer Science, or an Engineering discipline (STEM). Desirable knowledge and experience Understanding of or working with AI/ML algorithms and data science. Docker and Kubernetes. Experience with Large Language Model stacks, vector databases, Haystack, open-source (Mistral, Falcon, Llama 3), and closed-source models like GPT-4 and More ❯

the business — we’re leading transformation. Using cutting-edge tools like DBT Cloud, a modern tech stack, and a Data Mesh approach, we’re creating an environment where AI, machine learning, and automation can thrive. This team is shaping what’s next: from foundational pipelines to building future-ready AI tools. If you’re excited about making a … foundation of Kramp's self-service analytics platform in a Google Cloud Platform-based data warehouse (DWH), feeding different targets such as: Data visualization tools (e.g., Tableau); Kramp's Machine Learning platform. What to expect: The Data Office is an international, cross-functional team combining Business Intelligence, DevOps, FinOps, Data Science, and Software Development; Working within Agile SCRUM … to contribute and make a real impact; Encouraging freedom to initiate and develop new ideas. Who are you? What will help you succeed in this role? Openness to continuous learning and agility in addressing business challenges; Experience designing, developing, documenting, and maintaining software in Python and/or Java, as well as data flows in SQL; Knowledge of different More ❯

We are seeking a highly motivated and experienced Senior AI/ML Developer and Data Scientist to join our team at the forefront of designing cutting-edge solutions in the Telco industry. In this role, you will be responsible for the end-to-end design, development, and deployment of AI/ML models, as well as implementing advanced data science … techniques to solve complex problems and drive innovation. You will collaborate with stakeholders to understand business and technical requirements and translate them into scalable AI/ML and data-driven solutions. Key responsibilities: Design, develop, and deploy AI/ML models and solutions, including LLMs and GenAI. Perform feature engineering and selection to optimize model performance. Select and implement appropriate … AI/ML algorithms, including supervised, unsupervised, and reinforcement learning models. Train, evaluate, and optimize models using machine learning and statistical techniques. Conduct extensive data exploration, analysis, and preprocessing to ensure data quality for AI/ML applications. Develop and apply data science methodologies to extract insights from large-scale structured and unstructured datasets. Deploy models to More ❯

role will be a key differentiator of a successful candidate. Glass ceiling smashers especially welcome. We are looking for a Director of AI Engineering to lead our AI and ML development. The role is a technical expert driving hands-on development from prototyping to production ready systems. The role will focus on the design of complex AI agents, communication architectures … to deployment. Fine tune LLM. Mentor and develop the technical capabilities of the AI team, fostering a culture of innovation and continuous learning, led by example with best ML and software engineering practice. Lead a portfolio of high-impact AI projects. Drive technical and project-level architecture decisions, guiding multi-functional teams through stages of the AI lifecycle. Deliver … that have driven significant business impact. Extensive prior experience exploring and testing large language model behaviour, prompting and building products with language models. Expert knowledge of Python and advanced ML/LLM frameworks (e.g., TensorFlow, PyTorch, LangChain, LlamaIndex, etc). Deep understanding of agentic AI concepts and frameworks (e.g., agentic design patterns, multi-agent systems, reinforcement learning) and their More ❯

Senior AI Engineer IQVIA NLP Cambridge, UK We are looking for a Senior AI Engineer to lead the development of advanced machine learning solutions that address complex challenges in the pharmaceutical and healthcare sectors. In this role, you will drive the transformation of cutting-edge research into scalable, production-grade AI systems. You'll work across the full … solutions that improve outcomes and accelerate innovation. Key Responsibilities Deploy fit-for-purpose models and design and implement AI algorithms for pharma and healthcare applications. Lead the transition of machine learning research into viable prototypes and scalable production systems. Apply advanced techniques in natural language processing and machine learning to enhance model performance. Validate and test … UK visa sponsorship. The Team IQVIA NLP is a leading provider of Natural Language Processing solutions focussed on Human Data Science. NLP is a foundational technique for AI and ML and a critical enabler for IQVIA's Connected Intelligence solutions and the delivery of clinical trials and studies. IQVIA NLP is an acknowledged leader in this space with a global More ❯

relevant technologies, and be able to independently learn new technologies and techniques as our stack changes. The role requires close coordination to design and implement data pipelines that support machine learning models, analytical dashboards, and experimental frameworks. Clear communication; can communicate effectively in both written and verbal forms with technical and non-technical audiences alike. Complex problem-solving … ability; structured, organised, process-driven and outcome-oriented. Able to use historical experiences to help with future innovations. Passionate about data; enjoy being hands-on and learning about new technologies, particularly in the data field. Technical Skills Required Hands-on software development experience with Python and experience with modern software development and release engineering practices (e.g. TDD, CI/ More ❯

be able to offer this Site Reliability Engineer role working for an industry-leading software company in Cambridge. This company has won several awards and is pioneering in their machine-learning technology. Founded 8 years ago, with a team of 150 brilliant engineers, they are already renowned as having game-changing technology within their industry, with exciting scope More ❯

Computer Science, Information Systems, or related field Evidence of continuous professional development Substantial evidence of specialist knowledge and ongoing education relevant to data engineering, data science and AI/ML Desirable Professional certifications in data architecture such as TOGAF, DAMA or equivalent Experience Essential Experience in designing and managing enterprise data architectures in a complex organization Proven track record in … Desirable Experience of working in or with health-tech small or medium-sized enterprises NHS experience in a senior analytical, data engineering, data science and/or AI/ML role in the NHS Knowledge Essential Knowledge of cloud environments and architectures Extensive up-to-date knowledge of best practices in software development, data engineering, ETL and data science Knowledge … and its impact on data Extensive knowledge of data protection and GDPR Understanding of Cybersecurity and common issues Extensive knowledge of using data science and AI techniques such as ML, simulation modelling, causal impact analysis, network analysis, NLP Desirable Knowledge of health technology Knowledge of NHS operations, policies, governance and organisational structures Skills Essential Confidence and skilled in adapting to More ❯

hire a mid-level Data Engineer (2+ years' experience) who has worked with Azure and Databricks , and can contribute immediately across pipeline development, categorisation, and optimisation for AI/ML use cases. You'll work with diverse datasets spanning prepaid, financial services, gambling, and payments, supporting business-critical decisions with high-quality, well-structured data. While engineering will be your … globally. Work hands-on with cutting-edge Azure technologies, with a strong focus on Databricks and Python development. Play a key role in evolving epay's data architecture and ML-enablement strategies. In the first few months, you would have: Taken ownership of a data pipeline or transformation flow within Databricks and contributed to its optimisation and reliability. Worked across … Azure Data Factory and Azure Databricks. Data Categorisation & Enrichment: Structure unprocessed datasets through tagging, standardisation, and feature engineering. Automation & Scripting: Use Python to automate ingestion, transformation, and validation processes. ML Readiness: Work closely with data scientists to shape training datasets, applying sound feature selection techniques. Data Validation & Quality Assurance: Ensure accuracy and consistency across data pipelines with structured QA checks. More ❯

Job Requisition ID # 25WD89838 Position Overview As a Principal Software Engineer at Autodesk Research, you will work on new ML-powered product features that help our customers imagine, design, and make a better world. You are a software engineer who is passionate about solving problems and building things. You will collaborate with a talented team of scientists, research engineers … and process data for use with machine learning. Your skills span across data processing and distributed systems with a software engineering base. You are excited to collaborate with ML engineers to build generative AI features in Autodesk products, and comfortable working at the intersection of research and product. You will report to: Manager, Autodesk Research, Generative AI. Location: London … Responsibilities · Collaborate on engineering projects for product with a diverse, global team of researchers and engineers · Develop scalable distributed systems to process, filter, and deploy datasets for use with machine learning · Process large, unstructured, multi-modal (text, images, 3D models, code snippets, metadata) data sources into formats suitable for machine learning · Conduct and analyse experiments on More ❯

functional teams, you will understand client requirements and develop customized NLP solutions to address their specific needs. By staying up-to-date with the latest advancements in NLP and machine learning research, you will proactively integrate new techniques into existing workflows. Additional responsibilities include mentorship and leadership, successful deliverables, and project and community leadership. Essential Skills/Experience … Advanced Academic Credentials: PhD or equivalent experience in Machine Learning/NLP. - Senior Industry Experience: Extensive industry experience, particularly in senior or leadership roles, demonstrating a robust understanding of NLP challenges and solutions. - Proficiency in Python: Advanced knowledge of Python - Advanced Problem-Solving Skills: Exceptional problem-solving abilities in the area of machine learning and NLP. More ❯

experience in implementing innovative solutions. Ideal applicants will demonstrate excellent problem-solving abilities, effective communication skills, and a collaborative mindset suited for hybrid work environments. A proactive approach to learning and adapting to new tools and methodologies will be essential. Additionally, a background in project management and the ability to work independently while aligning with team objectives will be … Stay updated on industry trends and emerging technologies in AI and automation to continuously enhance skill development and solution offerings. Skills and experience Strong understanding of artificial intelligence and machine learning concepts Proficiency in programming languages such as Python, Java, or C++ Experience with automation frameworks and tools Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) Ability … problem-solving skills Adaptability to rapidly changing environments Proactive and self-motivated attitude Excellent communication and collaboration abilities Attention to detail and a quality-focused mindset Passion for continuous learning and personal development Ability to work effectively under pressure Strong organizational and time management skills Creative thinking and innovation-oriented mindset Commitment to teamwork and achieving common goals More ❯