1 to 25 of 51 Permanent Machine Learning Jobs in Coventry

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 ...

Research Engineer (ML) Remote (UK) £90,000 – £120,000 + generous equity Company Overview: We're working with a well-funded early-stage BioAI company applying machine learning to a challenging biological problem with real impact on sustainability and food security. The team is building an ML-first … actively used by scientists to guide real experimental decisions. The Role: They are looking for a Research Engineer who will work closely with ML scientists, chemists, and biologists to design, implement, and evaluate new modelling approaches. Your focus will be on building models, running experiments, validating results, and ensuring that ...

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 ...

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 ...

growing, AI-driven product company. This is a hands-on role with real ownership, working closely with engineering and product to build and deploy machine learning models that directly impact the business. Key Responsibilities Own the end-to-end data science lifecycle (from problem definition to monitoring) Build … deploy, and maintain machine learning models in production, including Computer Vision applications Collaborate with Product and Engineering on data-driven solutions Lead experimentation, optimisation, and model evaluation Contribute to technical direction and best practices Mentor Junior Data Scientists Key Skills & Experience Strong commercial experience as a Data Scientist ...

Senior ML Engineer – AI & MLOps £90,000 - £110,000 per annum We are looking for a Senior ML Engineer to join a forward-thinking team working on cutting-edge AI and machine learning solutions. This is a hands-on, engineering-heavy role focused on MLOps, LLMs … with strong financial backing, where you'll have the autonomy to build and deploy real-world AI solutions. The Role: Build and optimise scalable ML pipelines and AI infrastructure Work on LLM-focused projects – fine-tuning, retrieval systems, prompt engineering Develop and deploy ML models using AWS and Python Collaborate ...

Engineer (ASR & NLP) We're supporting a growing AI Product building advanced speech tools. They need a hands-on strategic Senior or Lead ML Engineer with expert Automatic Speech Recognition (ASR) experience to modernise core voice architecture and bring next-gen speech products to life. This role suits someone … complex ASR data formatting (e.g. alphanumerics, voice-specific cases) Influence roadmap and product vision What We're Looking For Senior, Principal or Lead level ML Engineer Expert in Automatic Speech Recognition & Natural Language Processing Experience in enterprise-grade voice/speech products Skilled in model optimisation, multilingual pipelines & data handling ...

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 ...

security posture and compliance. OR Elasticsearch for large-scale data management Deep experience with at least two of the following: Machine Learning (ML) for anomaly detection; Cross-Cluster Replication (CCR) for disaster recovery/HA; Searchable Snapshots/Cold/Frozen Tiers for cost optimization; or advanced ...

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 ...

delivered proper, end-to-end data science work in a commercial setting. You'll need; A track record of delivering Data Science or Machine Learning solutions. Strong Python skills (or R) and experience with commonly used libraries. Solid SQL and experience working … with cloud data platforms (Azure preferred). Experience deploying models or pipelines using Databricks (or similar). A good grounding in core DS/ML techniques and the ability to turn data into meaningful insight. Experience working with LLMs or similar modern approaches. Confidence working with stakeholders and explaining technical ...

Product Manager –Platform Intelligence, AI/ML As Product Manager for the Platform Intelligence team at Accelerant, you will define and lead the AI/ML product strategy across the Accelerant Risk Exchange platform. You'll work closely with Design, Engineering, and Decision Science to build tools that help participants … critical part in enabling Accelerant to be a product-led organization. What You'll Do Strategy & Discovery Define and evolve the AI/ML strategy for our Risk Exchange platform in alignment with company objectives. Identify new ways to apply statistical and machine learning models to support risk ...

Role Summary We are seeking a creative and skilled AI Engineer to help drive Unlinks mission of transforming justice services through advanced AI and machine learning. You will work on meaningful, high-impact projects—like predictive analytics for offender risk, behavioural monitoring, secure communications enhancement, and operational optimization—ensuring … nature of justice services. Person Specification Must-Have: Degree in Computer Science, AI, Data Science, or equivalent experience. Strong Python skills, with experience in ML libraries like TensorFlow, PyTorch, scikit-learn. Solid understanding of ML principles, algorithms, and their deployment in production. Experience with cloud platforms (AWS, GCP, Azure ...

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 ...

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 ...

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 ...

models. Proficiency with AI-driven tools for product management productivity (e.g., research, requirements drafting, data analysis, workflow automation). Interest in applying AI/ML to billing or financial systems (e.g., anomaly detection, collections optimization, LLM-powered support tools). Strong technical aptitude; able to dive into data models, APIs ...

specialists, they're deliberately building a junior data science pipeline — bringing in smart, curious people early and training them properly. If you've been learning data science, working on projects, or trying to break into the field, this role is designed for you. What You'll Actually … role. The Good Stuff £40,000+ starting salary Genuinely insane benefits package Fully remote working (UK based) Clear progression into Data Scientist/ML roles Structured onboarding and mentoring Flexible working hours Supportive, non-corporate culture Long-term opportunity with real growth How to Apply If you're based ...

multi-million-pound AI transformation programme. This is a rare opportunity to join a build-phase initiative that has already developed advanced machine learning models and is now focused on productising these for real-world, high-impact internal use. You'll be stepping into a Leading AI position … suite engagement in a global organisation with a multi-£billion turnover. What We're Looking For Senior engineering authority with proven delivery of ML/MLOps platforms into production. Hands-on expertise in Python, Cloud and LLM solutions and model lifecycle management. Ability to operate in a high-visibility, high ...

market and fundamental data. The Data Business Analyst will join the Data Centre of Excellence, encompassing Data Analysis, Data Architecture, Data Intelligence and Machine Learning experts. This Data team helps the Energy traders make use of their data to help make investment and risk decisions. This ...

modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial value. Evolved beyond a purely data science or analytics focus — can bridge data foundations with GenAI ...

modern AI ecosystems including generative AI, agentic systems, AI copilots, and orchestration frameworks (e.g. LangChain, AutoGen, CrewAI). Understands how to combine traditional ML and analytics with emerging AI architectures to deliver measurable commercial value. Evolved beyond a purely data science or analytics focus — can bridge data foundations with GenAI ...