1 to 25 of 152 Machine Learning Jobs in Manchester

growth for the hotels that rely on our platform. Your impact will be focused on ensuring the reliability, scalability, and high quality of our ML systems from development to production. You'll be instrumental in establishing robust MLOps practices and rigorous testing processes across the entire ML lifecycle. From structuring … data pipelines to implementing and validating ML models, you'll own the end-to-end development of our revenue management application—ensuring hotels have the reliable, accurate insights they need to maximize their success. Our Machine Learning Team: Our machine learning team is energized ...

functional teams across product, engineering, and operations to design, build, and deploy scalable data-driven solutions. You will use your expertise in statistical modelling, machine learning, and data engineering to develop, deploy, and maintain predictive models in production environments. This includes ensuring observability, performance monitoring, and continuous improvement … same, you will be expected to: Conduct exploratory data analysis to identify trends, patterns, and relationships in large datasets. Develop predictive models and machine learning algorithms to optimise business processes, improve customer experience, and drive revenue growth. Collaborate with stakeholders to define project objectives, requirements, and success criteria. ...

Working as part of a small, well-funded research group within a growing area of the business, this team delivers innovative data science and machine learning solutions to complex customer problems. THE BENEFITS: Tiered clearance bonus Funded R&D projects and internal seed investment Clear technical growth … progression opportunities Supportive, collaborative team environment Hybrid/flexible working dependent on project needs THE SENIOR DATA SCIENCE AND MACHINE LEARNING RESEARCHER ROLE: As a Senior Data Science & Machine Learning Researcher, you will focus on research-led development, working across short exploratory tasks and longer-term ...

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 ...

Understanding user behaviour with respect to ads quality* Building a solid infrastructure around signals, labels and quality metricsWe work at the intersection of Ads, Machine Learning and User Behaviour understanding. The nature of our work is very analytical, with a solid collaboration with our Data Scientist … consistently hit their goals and delivered XXXM$ in incremental long term revenue for Meta while ensuring high ads quality. Software Specialist (TL) - AI/ML - Monetisation Responsibilities: Drive the team's goals and technical direction to pursue opportunities that make your larger organization more efficient Effectively communicate complex features ...

/Machine Learning Engineer (NLP/LLM) - Contract Duration: 6 months Rate: Up to £500 per day IR35: Outside Location: Fully Remote (occasional ad-hoc travel to office) The Role: A leading Regulatory Tech company is seeking a Contract Machine Learning Engineer/Data Scientist … scalability. Experience Requirements: Proven experience in Natural Language Processing (NLP) and Large Language Models (LLMs), including training LLMs from scratch. Strong understanding of deep learning principles and experience working with transformer-based architectures (e.g., GPT, BERT, T5). Solid background in data science and machine learning, including ...

graduate (or soon-to-be) in Computer Science, AI, Data Science, Engineering, Mathematics, Physics, or a similar discipline A strong interest in AI/ML, data science, or applied statistics Solid programming skills in Python (or similar languages) Familiarity with data science or AI libraries such as Pandas, NumPy, TensorFlow … business impact Structured Learning : Receive training and mentoring in AI tools, techniques, and best practices Certification Support : Assistance in pursuing relevant AI/ML certifications (e.g. Google AI, AWS ML, TensorFlow Developer) Career Growth : Opportunities to specialise in areas like NLP, computer vision, or AI engineering Community & Culture ...

SENIOR ML ENGINEER/LONDON/£120,000 BASE SALARY Want to be hands-on with AI, working on greenfield projects for a growing business in the FinTech space? I'm looking for an experienced Machine Learning Engineer to join a growing business who are going more … holiday plus bank holiday Flexible, hybrid working from central London And much more What do we need from you? PyTorch, Python, understanding of the machine learning ecosystem AWS ETL processes Good understanding of vector databases (they use open search) Proven experience using LLMs through APIs Sound like ...

know our A-Team at Join the mission as a Senior Security Consultant. We're seeking a technically skilled and analytical AI/ML Penetration Tester to strengthen our cybersecurity defenses through advanced, cutting-edge testing of AI and machine learning systems. As a Penetration Tester supporting …/ML, you will work closely with clients to deliver clear, actionable reports and contribute to the development of security best practices. Responsibilities: Conduct engagements on AI/ML systems, web applications and API's independently and provide technical oversight Design and execute advanced adversarial testing (e.g., evasion, data poisoning ...

know our A-Team at Join the mission as a Senior Security Consultant. We're seeking a technically skilled and analytical AI/ML Penetration Tester to strengthen our cybersecurity defenses through advanced, cutting-edge testing of AI and machine learning systems. As a Penetration Tester supporting …/ML, you will work closely with clients to deliver clear, actionable reports and contribute to the development of security best practices. Responsibilities: Conduct engagements on AI/ML systems, web applications and API's independently and provide technical oversight Design and execute advanced adversarial testing (e.g., evasion, data poisoning ...

Data Scientist - ML & Consumer Lending South West, UK Hybrid working, strong salary dependent on experience The client South West based, modern office hub, and a major consumer lending portfolio. This is a chance to join a well known financial services group that is investing heavily in data, Applied Data Science … Learning to stay ahead of the market and improve how it serves its customers. The business is moving towards cloud native, production grade ML, backed by senior leaders who see Data Science as central to the next chapter of growth. You will sit close to real decision making, working ...

Role Description This is a remote, contract role for an LLM 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 … dependent visa/ILR/British National. Day Rate: £300 (Including VAT), Outside IR35 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 ...

deep, owning both architecture and delivery. The Role This is an 80% hands-on, 20% leadership role. You'll lead the development of proprietary ML systems (including LLMs), scale MLOps pipelines, and ensure responsible AI practices. Working closely with Product, Engineering, and senior leadership, you'll translate strategic goals into … robust, production-ready AI solutions. Responsibilities Architect and deliver end-to-end ML pipelines, including model design, deployment, monitoring, and optimisation Build and scale NLP/LLM solutions using semantic search, embeddings, and unstructured data methods Define and implement MLOps frameworks for versioning, observability, drift detection, and reproducibility Lead responsible ...

deep, owning both architecture and delivery. The Role This is an 80% hands-on, 20% leadership role. You'll lead the development of proprietary ML systems (including LLMs), scale MLOps pipelines, and ensure responsible AI practices. Working closely with Product, Engineering, and senior leadership, you'll translate strategic goals into … robust, production-ready AI solutions. Responsibilities Architect and deliver end-to-end ML pipelines, including model design, deployment, monitoring, and optimisation Build and scale NLP/LLM solutions using semantic search, embeddings, and unstructured data methods Define and implement MLOps frameworks for versioning, observability, drift detection, and reproducibility Lead responsible ...

design and build software solutions that harness the power of AI tools and modern development practices. Role You’ll receive a blend of structured learning, hands-on experience, and tailored apprenticeship training to help you grow into a confident tech professional. From day one, you’ll be supported … give you a strong foundation in both technical and professional skills. You’ll explore the fundamentals of AI, and data handling while also learning how modern engineering teams operate—using agile methods, collaboration tools, and real-world problem solving. Project-based learning: You’ll work on real challenges ...

research with implementation, ensuring scalable, explainable, and robust AI systems across the organisation! You will design and implement next‐generation agentic AI and traditional ML that power critical decisions across the organisation! The key activities in the role are: Architect agentic systems: multi‐step reasoning, autonomous decision‐making, and safe … action flows. Operationalise LLM solutions: evaluation, fine‐tuning, and prompt strategies with measurable outcomes. Engineer APIs and containerised microservices for scalable ML; embed CI/CD, model versioning, and monitoring. Assure interpretability, fairness, and audit readiness; meet compliance standards within the field. Experiment using human‐feedback loops and A/ ...

research with implementation, ensuring scalable, explainable, and robust AI systems across the organisation! You will design and implement next‐generation agentic AI and traditional ML that power critical decisions across the organisation! The key activities in the role are: Architect agentic systems: multi‐step reasoning, autonomous decision‐making, and safe … action flows. Operationalise LLM solutions: evaluation, fine‐tuning, and prompt strategies with measurable outcomes. Engineer APIs and containerised microservices for scalable ML; embed CI/CD, model versioning, and monitoring. Assure interpretability, fairness, and audit readiness; meet compliance standards within the field. Experiment using human‐feedback loops and A/ ...

analytics. • Data Product Development: Lead the design, development and optimisation of scalable, secure and high-quality data pipelines and analytical models, enabling advanced analytics, machine learning and operational use cases. • Collaboration: Work closely with cross-functional teams, including data science, engineering, product and business stakeholders to translate business … interfaces. • AI-Assisted Analytics: Bring experience and curiosity towards AI-assisted analytics and machine learning, actively exploring opportunities to integrate AI and ML within data and analytics products. • Data Governance: Ensure data lineage, cataloguing and access controls are implemented and maintained, supporting compliance, discoverability and ethical ...

analytics. • Data Product Development: Lead the design, development and optimisation of scalable, secure and high-quality data pipelines and analytical models, enabling advanced analytics, machine learning and operational use cases. • Collaboration: Work closely with cross-functional teams, including data science, engineering, product and business stakeholders to translate business … interfaces. • AI-Assisted Analytics: Bring experience and curiosity towards AI-assisted analytics and machine learning, actively exploring opportunities to integrate AI and ML within data and analytics products. • Data Governance: Ensure data lineage, cataloguing and access controls are implemented and maintained, supporting compliance, discoverability and ethical ...

diagrams to explain a data processing system on a cloud environment. Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development. You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists ...

diagrams to explain a data processing system on a cloud environment. Some knowledge of how you would present diagrams (C4, UML, etc.) Enthusiasm for learning and self-development. You have experience of working on agile delivery-lead projects and can apply agile practices such as Scrum, XP, Kanban. … engineers using a variety of techniques such as pair programming or mob programming. Working with data scientists to productionise advanced data deliverables, such as machine learning models Working knowledge of statistics Working with multidisciplinary digital and technology teams Working within the public sector Working with data scientists ...

Experts) Referral Partner: Crossing Hurdles Type: Hourly contract Compensation: $105/hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities: Critically evaluate machine learning and artificial intelligence research papers for methodological rigor, novelty, and clarity. Inspect Python source code, experimental pipelines, and experiment logs to validate … research studies. Requirements: Strong experience in artificial intelligence, machine learning, or closely related research domains. Demonstrated ability to read, interpret, and evaluate ML research papers and technical methodologies. Comfort reviewing Python code, experimental workflows, and quantitative logs. Experience conducting academic literature reviews and assessing research originality. High attention ...

Experts) Referral Partner: Crossing Hurdles Type: Hourly contract Compensation: $105/hour Location: Remote Commitment: 10–40 hours/week Role Responsibilities: Critically evaluate machine learning and artificial intelligence research papers for methodological rigor, novelty, and clarity. Inspect Python source code, experimental pipelines, and experiment logs to validate … research studies. Requirements: Strong experience in artificial intelligence, machine learning, or closely related research domains. Demonstrated ability to read, interpret, and evaluate ML research papers and technical methodologies. Comfort reviewing Python code, experimental workflows, and quantitative logs. Experience conducting academic literature reviews and assessing research originality. High attention ...

level executives, translating complex product capabilities into clear business outcomes. Strong foundational understanding of Artificial Intelligence (AI) and Machine Learning (ML) principles, with the confidence to discuss strategic AI roadmaps and Generative AI applications with executive stakeholders. Experience in managing and expanding customer relationships at various levels. Exceptional ...

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 ...