76 to 100 of 148 Machine Learning Jobs in Manchester

Will Do TetraScience is looking for a Technical Enablement Lead/Developer Relations Lead for the EU. The ideal candidate should have expertise in customer and field enablement, adult learning principles, educational program creation, use case architecture and implementation, and a genuine passion for Data and AI technologies. The candidate should be driven by a desire to educate and … be successful with minimal friction, and champion product and process changes that make this a reality. You will work to understand the needs of different user personas (data scientists, machine learning engineers, scientists and R&D IT analysts), analyze their data environment, assist in the design and implementation of self-service solutions, and create training artifacts to accelerate More ❯

environment. Additional skills that would be beneficial We heavily utilise Amazon Web Services so experience with AWS or similar is a bonus. Experience working with AI tools. Knowledge of machine learning models. Benefits At Kitman Labs we pride ourselves on being the best and working with the best, so it should be no surprise that we are also More ❯

At Cloud Bridge , we transform how businesses use AWS cloud services. We specialise in Consultancy, Managed Services, Cloud Governance, FinOps, and AI/ML to unlock AWS's full potential. Recognised as AWS's Rising Star Partner of the Year for 2023 in EMEA and 2022 in the UK&I, we're expanding globally with new offices in Australia, South More ❯

new product to enhance our large language models with speech-to-speech capabilities. This greenfield project offers a unique opportunity to help define its research direction and build the machine learning systems that will power it. We're seeking a data scientist with a strong research background in machine learning and a focus on speech or … research concepts into deployable features Contributing to improving the team's workflows to help foster a healthy, productive, and innovation-focused environment What We're Looking For? Background in machine learning or data science, ideally with a research focus (PhD or MSc with equivalent industry experience … Experience working with LLMs, speech technologies (ASR, TTS), or multimodal systems Strong programming skills in Python, with experience in using PyTorch Hands-on experience with training and fine-tuning ML models, including setting up experiments and evaluating results Ability to read, interpret, and implement techniques from recent academic papers into practical, working solutions Strong communicator, comfortable working across interdisciplinary teams More ❯

to progress into management if this is something you foresee in your career.The Data Scientist will work in the Insight Services team and be responsible for leading AI/ML and Data Science product development and research work, and supporting our multi-award winning AI product portfolio. The Data Scientist will: Undertake data collection, processing and analysis Build models to … sets to derive actionable insights and create clear, informative visualizations. Collaborate with cross-functional teams to understand business needs and provide data-driven solutions and recommendations. Continuously improve existing machine learning models and introduce innovative solutions that add value to the company's services. Ensure data quality and integrity throughout the data lifecycle. Stay informed on new technology … and how they can be leveraged within the company. Key Skills Proficiency in R programming language with hands-on experience in data analysis and model building. Strong understanding of machine learning, statistical analysis, and data mining techniques. Excellent problem-solving skills with the ability to handle multiple tasks under tight deadlines. Strategic thinker with outstanding communication skills, capable More ❯

on the lookout for improving systems and processes. You will join our product team with a focus on writing automated tests for our cloud products including artifical intelligence and machine learning Time is split as needed between university and work. We will ensure you get all the time you need to attend studies and complete course work. Key … technologies (e.g. Docker) Excellent problem-solving and communication skills Growth Path: This role offers opportunities to advance into senior Quality Assurance and QA Engineering roles. We support and encourage learning of all kinds. We will offer technical and skills based training throughout the apprenticeship and beyond and it is our hope that the successful candidate will wish to continue More ❯

and curiosity Ideal Profile PhD in Mathematics, Statistics, Physics, or a related quantitative field (Master’s with significant pricing optimisation experience considered) Strong foundation in statistical modelling, optimisation, and machine learning fundamentals Fluent in Python and data science tools (e.g., Pandas, NumPy) Prior experience in revenue management or pricing is a plus, but not required Interview Process Intro More ❯

you, you might be just who we're looking for as our next Digital AI Engineer Apprentice! What You'll Be Doing: AI Curiosity : Help design, develop, and test machine learning models that make smart decisions - from recognising patterns to chatting like a human. Data Learning : Dive into big data, explore datasets, and uncover insights that help More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. … We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise … scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

on the knowledge of the 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 5 is not a requirement for our job More ❯

An exceptional opportunity for a Machine Learning Engineer (with Full-Stack experience) to join an innovative market leader at the forefront of developing next-generation solutions that transform digital interactions. The role will focus on projects to leverage state-of-the-art generative AI, retrieval-augmented generation (RAG), and reasoning frameworks to build intelligent and context-aware systems. … We are seeking talented Machine Learning Engineers with full-stack software development experience to join our client's team and help shape the future of AI-powered automation. Within this dynamic role varied duties will include: Search relevancy engineering. Conversational AI Development : Design, train, fine-tune, and deploy LLMs with reasoning capabilities. Retrieval-Augmented Generation (RAG): Implement, optimise … scalable machine learning workloads on AWS using services like SageMaker, Bedrock, Lambda, S3, DynamoDB, ECS, and EKS. End-to-End AI Product Development : Work across the full ML lifecycle, from data collection and preprocessing to model evaluation, deployment, and monitoring. Full-Stack Integration : Develop APIs and integrate ML models into web applications using FastAPI, Flask, React, TypeScript, and More ❯

An exceptional opportunity to join an innovative, high-growth organisation shaping the future of AI-powered automation and digital interaction. We're seeking a Machine Learning Engineer with full-stack development experience to work on cutting-edge … projects involving Generative AI , Retrieval-Augmented Generation (RAG) , and multi-agent reasoning frameworks . This is a hands-on, end-to-end engineering role with impact across the full ML lifecycle - from experimentation to deployment. Conversational AI & Reasoning: Design, fine-tune, and deploy advanced LLMs with agentic capabilities RAG Pipelines: Build and optimise scalable pipelines for structured and unstructured data … Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch Required skills & experience: 3-5+ years of experience in ML engineering and software development Deep Python proficiency, with PyTorch, TensorFlow or Hugging Face Proven experience with LLMs, RAG, and deploying cloud-native AI on AWS Strong full-stack skills (React More ❯

An exceptional opportunity to join an innovative, high-growth organisation shaping the future of AI-powered automation and digital interaction. We're seeking a Machine Learning Engineer with full-stack development experience to work on cutting-edge … projects involving Generative AI , Retrieval-Augmented Generation (RAG) , and multi-agent reasoning frameworks . This is a hands-on, end-to-end engineering role with impact across the full ML lifecycle - from experimentation to deployment. Conversational AI & Reasoning: Design, fine-tune, and deploy advanced LLMs with agentic capabilities RAG Pipelines: Build and optimise scalable pipelines for structured and unstructured data … Integration: Build APIs (FastAPI, Flask) and integrate with React, TypeScript, Node.js Vector Search: Use FAISS, Weaviate, Pinecone, ChromaDB, OpenSearch Required skills & experience: 3-5+ years of experience in ML engineering and software development Deep Python proficiency, with PyTorch, TensorFlow or Hugging Face Proven experience with LLMs, RAG, and deploying cloud-native AI on AWS Strong full-stack skills (React More ❯

. Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder with a strong sense of how to deliver real-world More ❯

. Understanding and experience of Data Governance frameworks and implementation. Exposure to CI/CD pipelines and source control for reports and analytics. Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: Thinks like a data user, not just a data builder with a strong sense of how to deliver real-world More ❯

Validation, with the support from your manager, you will be responsible for: Validating different types of models used across Starling, such as IFRS 9, Forecasting, Operational Risk, AI/ML models. Producing validation reports whilst engaging with the model developers and model owners to ensure the validation findings are understood and can be addressed within the agreed timelines. Producing committee More ❯

A well-established business is looking for an accomplished Software Engineer with expert Python skills to join its organisation. Please note, this role is Outside IR35. The company embraces hybrid and flexible working so you will be able to work More ❯

AI Engineer Opportunity (Generative AI & Machine Learning) – Manchester Are you passionate about pushing the boundaries of AI and machine learning? Join an innovative team delivering cutting-edge solutions for global clients. We’re looking for an experienced AI Engineer to work on impactful projects leveraging generative AI , advanced … machine learning models, and Databricks . What You’ll Do: • Develop generative AI models like GPT, DALL-E, and Stable Diffusion for real-world applications. • Build advanced ML solutions for classification, recommendations, and more. • Create scalable AI pipelines using tools like MLflow and Apache Spark. • Collaborate with teams to design AI systems for diverse industries. What You’ll … Bring: • 4+ years of AI/ML experience, including Databricks expertise. • Proficiency in Python and frameworks like PyTorch or TensorFlow. • Knowledge of cloud platforms ( Azure preferred ). • Passion for solving complex problems and innovating in AI. Why Join Us? • Impactful, cutting-edge projects with real-world value. • Career growth in AI, ML, and Databricks technologies. • Competitive salary, benefits, and flexible More ❯

that the interaction satisfies some criteria . Based on this, a subsequent event or alert would be triggered. We have dedicated people in the team that would develop any ML models that are required , so an expert level of Machine Learning is not essential, but a good understanding of what a model does, and how to run inference … the requirements for a new use case and work out suitable solutions to the problem. Work with the models part of the team to specify what new or changed ML models are required to provide the foundation of the solution Build on top of the developing model, additional logic to interpret, combine or otherwise enhance the information provided to the … successfully solves the problem, and work to deploy it in a real-life customer environment Qualifications: Essential Strong software engineering and programming skills in Python and ideally in an ML/CV environment ( Numpy , OpenCV) Experience with CI/CD systems , with a test-driven development approach In-depth k nowledg e of Linux operating systems Strong communication skills, both More ❯

products such as BBC iPlayer. As we evolve to deliver more personalised content and experiences, Data Science is at the heart of that transformation. As a team, we use ML/AI to enrich our content and power personalised experiences for millions of audience members. We're looking for a Principal Data Scientist to join the Product Group. Why Join … on role in building machine learning products at BBC scale. Working as part of a highly cross-functional team, you'll help overcome the challenges of deploying ML in production. You'll have the opportunity to get involved with the wider data science community, both at the BBC and externally. We hope you'll be enthusiastic about sharing … BBC audiences, blending significant breadth and depth of data science expertise. You'll have impact within your immediate team and beyond, across the wider BBC, instrumental in developing scalable ML products. You'll bring significant experience of being an effective contributor in a cross-functional team, working with others to overcome the challenges of delivering ML in production. You'll More ❯

products such as BBC iPlayer. As we evolve to deliver more personalised content and experiences, Data Science is at the heart of that transformation. As a team, we use ML/AI to enrich our content and power personalised experiences for millions of audience members. We’re looking for a Principal Data Scientist to join the Product Group. Why Join … on role in building machine learning products at BBC scale. Working as part of a highly cross-functional team, you’ll help overcome the challenges of deploying ML in production. You’ll have the opportunity to get involved with the wider data science community, both at the BBC and externally. We hope you’ll be enthusiastic about sharing … BBC audiences, blending significant breadth and depth of data science expertise. You’ll have impact within your immediate team and beyond, across the wider BBC, instrumental in developing scalable ML products. You’ll bring significant experience of being an effective contributor in a cross-functional team, working with others to overcome the challenges of delivering ML in production. You’ll More ❯

eCommerce business in Manchester that's looking for a Data Scientist to join their team. It's a hands-on role with a real opportunity to build and deploy machine learning models that directly impact how they serve and retain customers. They've got rich datasets from web traffic, transactions, and customer behaviour and they're keen to … research role, they want someone who enjoys solving real business problems and seeing their work make a difference. What they're looking for: Strong Python skills and experience with ML libraries like scikit-learn, TensorFlow or PyTorch A good understanding of the full ML lifecycle - from data wrangling to live deployment Comfortable working with both structured and unstructured datasets Ideally More ❯