1 to 25 of 35 Machine Learning Jobs in Doncaster

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 ...

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 ...

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 ...

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 ...

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 ...

engineering quality, automation and innovation. Why candidates choose this role You gain ownership over cloud direction and standards. You join a team that encourages learning, experimentation and the use of new technologies. You work in an environment that values both independence and collaboration. You build platforms that directly support ...

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 ...

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 ...

thinking, problem-solving ability, and keen attention to detail Additional Advantages: Familiarity with business intelligence tools (Tableau, Power BI, Looker) Exposure to cloud platforms, machine learning concepts, or participation in hackathons Relevant industry certifications (e.g., Google Data Analytics Certificate, Microsoft Data Analyst Associate) What You Will Gain: Real ...

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 ...

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 ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands. Qualification path No previous professional experience is required to apply to this role … exam that will determine your suitability for the position and complete ID verification. Don't worry, our team will provide you with guidelines and learning materials before your exam. You will be required to complete the exam in a specific timeframe but at your convenience! Equal Opportunity All qualified ...

Data+ certification and enables you to demonstrate your knowledge in advanced data processing, cleaning, and statistical modelling concepts. You will demonstrate your knowledge of machine learning, industry trends and use of specialised data science applications. You will also apply mathematical and statistical methods appropriately. Step ...

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 ...

guidance to junior engineers. Collaborate with product and engineering teams to integrate AI functionality into the platform. Required Experience Experience as an AI or Machine Learning Engineer with responsibility for end-to-end model development and deployment. Deep knowledge of RAG Experience processing high volumens of documentation/… leading technical initiatives. Nice to Have Experience working with sensitive or regulated data (not essential). Experience with graph-based retrieval. Familiarity with Azure ML or similar tooling. Career Path and Growth You will act as the senior figure within the AI group, shaping standards, guiding junior colleagues and influencing ...

through to being qualified to work in a junior Data Scientist role. Through the interactive courses, you will gain knowledge in Python, R, Machine Learning, AI , and much more. You will also complete mini projects to gain practical experience and test your skills while you study. Step ...

specific training pathways that are fully government funded. Our track record (proof we can deliver) Originated at Imperial College London, where we founded the Machine Learning Society with DeepMind sponsorship and educated 6,000+ students pro bono. Selected by NVIDIA to deliver specialised training via their Deep Learning … provision. Your mandate is to protect outcomes (for learners and employers), protect funding (ESFA rules and audit readiness), and raise the bar on teaching, learning, assessment, and operational rigour so that quality scales as we scale. This is a role for someone who can operate with high autonomy ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands Qualification path No previous professional experience is required to apply to this role … open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience. Equal Opportunity ...

collect, enhance, train, translate, and localize content to build better AI models. Become part of our growing community and make an impact supporting the machine learning models of some of the world's largest brands. Qualification path No previous professional experience is required to apply to this role … open book qualification exam that will determine your suitability for the position and complete ID verification. Our team will provide you with guidelines and learning materials before your qualification exam. You will be required to complete the exam in a specific timeframe but at your convenience. Equal Opportunity ...

insights — and are seeking an AI Engineering Lead to define and deliver this vision. Job Summary & Purpose Own and drive Akixi's AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi's products and analytics platforms. As the AI Engineering … roadmap. Architect scalable AI solutions integrated into Akixi's SaaS analytics platform. Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics. Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour. Conduct research, proof-of-concepts, and feasibility ...

voice work Marketing, communications, or audience engagement Psychology, philosophy, or behaviour-focused disciplines STEM backgrounds with strong structure and clarity Experience with AI, ML, or data-related tasks Additional Information Flexible 20–40 hours per week Remote working Opportunities for ongoing work, bonuses, and progression Please follow the Morpheus LinkedIn ...

Data Science Manager We are seeking a Data Science Manager to lead the development and deployment of advanced analytics and AI/ML solutions. This role involves applying data science techniques to deliver actionable insights and build scalable data products. Key Responsibilities Design and implement AI/ML and Generative … effectively. Requirements Bachelor's or Master's in Data Science, Statistics, Computer Science, or related field. 5+ years of experience in data science and machine learning. Strong proficiency in Python, SQL, and open-source tools. Experience with Generative AI frameworks and production-ready model deployment. Familiarity with cloud platforms ...

data analysis) to uncover insights that inform recruitment strategies Work with time-series & cohort data for trend analysis and performance metrics Deploy statistical and ML algorithms (regression, clustering, classification) in scalable pipelines Communicate findings & recommendations with clear visual and written formats to stakeholders Requirements Pursuing (or recently completed) B.Tech/… fields Proficiency in Python + core libraries (Pandas, NumPy, Matplotlib/Seaborn, Scikit-learn) Familiarity with SQL for querying relational datasets Sound understanding of ML fundamentals – supervised/unsupervised learning methods Strong statistics foundation – distributions, hypothesis testing, probability Ability to interpret data, derive insights, and present conclusions clearly Strong ...