1 to 25 of 62 Permanent Machine Learning Jobs in Nottingham

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 Location: Remote - UK Permanent Salary: £90-100K per year + benefits Start Date: Immediate WRK digital is proud to partner with a fast-growing technology startup building solutions that combine human expertise and AI agents to automate complex operational workflows. The organisations mission … Virtual Agent platform in line with product strategy. · Ensure AI services maintain high standards of performance, reliability, and scalability. · Participate in internal ML community, influencing how we implement AI and computer vision technologies. · Take ownership of customer outcomes and contribute across software engineering, DevOps, and MLOps functions. About ...

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 ...

role with broad impact—touching everything from model training and deployment to safety evaluation and infrastructure. Key Responsibilities: Design and implement NLP and ML systems for clinical and conversational applications Build and maintain data pipelines, model training, fine-tuning, evaluation, and deployment workflows Collaborate cross-functionally to translate clinical requirements … into scalable technical solutions Ensure safety, performance, and regulatory compliance of ML systems Contribute to technical strategy, architectural decisions, and mentoring within the ML team What We're Looking For Essential: 4+ years of hands-on experience in AI, ML, or NLP, ideally in a product setting Strong knowledge ...

planners interact with intelligent systems across optimization, allocation, and planning workflows. While the product is moving towards agentic, our agents remain grounded in machine learning and complex mathematical models (e.g., econometrics, reach modelling). Success in this role depends on bridging the best of both worlds: machine … grow the Data Science team, fostering technical excellence, collaboration, and an iterative, prototype-driven culture. Requirements 8+ years of experience designing and deploying applied ML or AI systems into production, with at least 3+ years leading data science teams. Fluent in Python and a strong interest in general software engineering ...

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 ...

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 ...

Special Educational Needs (SEN) schools. We work closely with care homes and schools to build our platform, FocusAI, which applies state-of-the-art machine learning and AI to fragmented healthcare information, starting with automated reporting. By transforming disconnected, outdated systems into structured, actionable insights, we help care … solutions that make a real difference for care homes and SEN schools. Growth & innovation: Gain hands-on experience with emerging technologies, including AI and machine learning, keeping you at the cutting edge of innovation. Flexible culture: Enjoy a more flexible, dynamic work environment that adapts to your strengths ...

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 ...

Lead ML Ops Specialist **UK Remote • Contract • Outside IR35** I'm supporting an organisation in the iGaming space as they build and launch a completely new AI and Automation platform across their UK and International estate. They operate multiple brands across two platforms and are now integrating everything under … driven strategy — and they need a Lead ML Ops specialist to help drive it. This is a senior, hands on consulting role shaping how Machine Learning is deployed, scaled and monitored across the business. You'll work directly with their AI Ops team to define the platform, establish ...

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 ...

Will get to work on numerous challenging and exciting projects on our various offerings including Salesforce, AI/Data Science, Generative AI/ML, Automation, Cloud Enterprise and Product/Platform Engineering. At Ascendion you have high chances of project extension or redeployment to other clients. Additionally, you can also ...

professional confidence. You will coach learners in areas you are most comfortable with, which may include: Data Analytics Data Technician Data Engineering Data Science Machine Learning Alongside this, you will receive ongoing technical training across all data pathways, as well as dedicated development on how to coach effectively … What's On Offer Fully remote working Comprehensive training to transition you into a coaching role Ongoing upskilling across data, engineering, and/or ML disciplines Opportunity to shape the next generation of data professionals Supportive, people-focused learning environment (You DO NOT need to have worked ...

tier conferences (NeurIPS, ICML, ICLR, CVPR) Collaborate globally with researchers across 100+ countries Mentor the next generation of AI researchers REQUIREMENTS: PhD in ML/AI/Computer Vision with strong publication record Deep expertise in diffusion models and generative AI Proven experience with text-to-image generation, multimodal ...

direct reports Strong analytical mindset and data-driven decision-making Understanding of API integrations and Agile methodologies Bonus: Experience building optimisation or AI/ML-powered AdTech solutions Background growing products across multiple verticals Industry thought leadership or published content Experience working with enterprise clients and complex sales cycles Previous ...

modern 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. Internship Overview This internship is a great ...

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 ...