1 to 25 of 51 Machine Learning Jobs in Manchester

Graduate AI/Data Scientist/Machine Learning Engineer – Entry Level £28,000 – £35,000 | Hybrid Opportunities | North West/UK Are you a recent graduate looking to start your career in Artificial Intelligence, Machine Learning, Data Science or Software Engineering? We are currently working with … number of innovative technology organisations who are looking to recruit Graduate AI Engineers, Data Scientists and Machine Learning Engineers into their growing teams. This is an excellent opportunity for ambitious graduates who want to work with cutting-edge technologies including Artificial Intelligence, Machine Learning, Generative ...

same! Key Responsibilities: Build, maintain, and productionise machine learning models using PyTorch or similar frameworks. Design and optimise data pipelines for ML inference at scale. Work with large datasets using Big Data tools. Deploy ML workflows using AWS infrastructure . Collaborate with data engineers and product teams … integrate ML solutions into RealityMine’s products. Investigate and troubleshoot customer feedback on data quality and drive model improvements from experimentation . Promote best practices in ML engineering and data quality across the business. Adhere to Company Policies and Procedures with respect to Security, Quality and Health & Safety. AI first ...

levels available £45k to £95k DoE plus 15% clearance bonus Must be willing to be full-time on-site in Manchester Skills required in machine learning, GenAI, NLP, Customer Engagement/Consultancy Who are we? We are recruiting Junior, Senior and Lead Data Scientists with AI specialism … look forward to hearing from you. KEY SKILLS: Data Science/Data Scientist/AI Engineer/AI/Machine Learning/ML/NLP/GenAI/Stakeholder Engagement/Customer Engagement/AWS/Azure/Cloud/Docker/Kubernetes/CI/CD/ ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Project Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. Step 8 – AI Prompt Engineering Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. Step 9 – Retrieval-Augmented Generation (RAG) Learn how to integrate external knowledge into AI systems … Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. Step 11 – Machine Learning Fundamentals Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. Step 12 – Machine ...

Intern, you'll work closely with our experienced team of Data Scientists to support the research and development of both traditional and cutting-edge machine learning algorithms for use with current and future product ranges. Here at ITL, we offer Hands-on experience with real-world projects Mentorship … opportunity to experience working with professionals in their chosen field. Your Responsibilities Collaborate with the data science team to design, implement, and optimize Machine Learning models Analyze large datasets to uncover trends, patterns, and insights that drive business decisions Develop and test algorithms for machine learning ...

will be working on Designing and building Python applications that sit at the heart of AI solutions Supporting the development and deployment of machine learning systems Turning complex challenges into clean, scalable software Working closely with experienced engineers, data scientists, and consultants Testing, refining, and improving systems … they move into production Learning how high impact AI solutions are delivered to real clients What we are looking for A degree in Computer Science, Software Engineering, AI, Data Science, or a closely related subject A strong academic background from a top university, with Russell Group preferred Confidence writing ...

Role Build and fine tune LLMs and NLP models for analytics and conversational products. Apply mathematical and quantitative thinking to financial use cases. Develop ML pipelines, model evaluation processes, and production ready code. Work with engineers to deploy models in AWS. Support and guide mid level Data Scientists. Your Skills … Experience Strong commercial experience in Python, machine learning, and NLP. Hands on work with LLMs, fine tuning, and modern ML tooling. Ability to understand quantitative concepts for trading and financial analytics. Experience working in cloud based engineering environments, ideally AWS. Comfortable collaborating with cross functional teams. ...

place to advance your career. What you will do: Analyse large and complex datasets to uncover insights and inform decision-making. Design and implement machine learning models to address business challenges. Develop dashboards, reports, and visualizations to present data-driven insights. Collaborate with cross-functional teams to identify … software development team. Communicate findings clearly and effectively to both technical and non-technical stakeholders. Required Skills: Proven experience (2+ years) in data science, machine learning, and statistical analysis Degree in Data Science, Computer Science, Mathematics, or a related field. Proficiency in Python for data analysis and machine ...

with some of the most technically advanced AI companies, focused on the DACH region. We have the opportunities to specialise in software, data engineering, machine learning or product. This role is suited to an experienced consultant who operates with autonomy, values depth in their market, and wants … recruitment experience in-agency, ideally within software, AI, or a related technical market. We have opportunities to specialise in software, product, data engineering or machine learning and will support a the growth and transition into these areas. No prior definitive experience in AI is required. Beyond experience ...

into scalable and secure cloud architectures, with experience in cost optimisation. Data & AI Architecture Strong understanding of data platforms, analytics solutions and AI/ML‐driven architectures. Application Architecture Proficiency in serverless, containerised and microservices‐based workloads, with CI/CD and DevOps practices. Security Architecture Strong knowledge … Awareness of cloud governance, auditing, account management and cost allocation strategies. It Would Be Advantageous To Have AWS Specialty certifications (e.g. Security, Advanced Networking, Machine Learning). Experience working with other cloud platforms such as Azure or Google Cloud. What’s In It For You In addition ...

technical roadmap for their AI Platform. Must have strong AI project implementation experience. You will have strong and broad AI concepts, Machine Learning, and Deep Learning technical architecture experience. You will have strong technical solutions design experience. You must also have strong MS Azure and API experience. ...

machine learning ambitions. Specifically, you can expect to be involved in the following: Designing scalable data architecture that supports analytics, reporting, and ML workloads. Building and maintaining secure, repeatable ETL and ELT pipelines using Azure, Python, and SQL. Driving best practice, including CI/CD, observability, documentation ...

solutions and present actionable insights to stakeholders. Communicate results clearly to key decision-makers to influence pricing strategies. Advance the adoption of statistical and machine-learning methods within pricing, in collaboration with Modelling, Optimisation, and Street Pricing. What we’re looking for: Experience in general insurance pricing with ...

pipelines, Infrastructure as Code and DevOps practices. Excellent communication and presentation skills, with the ability to articulate complex concepts clearly. Familiarity with AI/ML integration and secure cloud architecture is an advantage. Permanent Interview Format: 1. Live coding+ 2 interview rounds ...

hands-on role combining technical ownership and production-grade model deployment. The Role As Senior Data Scientist, you will: Own end-to-end ML solutions -from problem framing and feature engineering to deployment, monitoring, and governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints Build … regulated environment This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance. Essential Experience Proven commercial ML/Data Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong ...

ROLE As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large-scale ingestion, transformation and machine learning workloads. Specifically, you can expect to be involved in the following: Designing and optimising of distributed systems for high-throughput data processing Build ...

Proven experience as a Data Architect within enterprise environments. Hands-on expertise with Snowflake (architecture, modelling, security, governance). Strong understanding of AI/ML platforms, data pipelines, MLOps, and integrating AI into data architectures. Active Security Clearance (SC or DV). Proficiency with architecture frameworks and tools (TOGAF, ArchiMate ...

time AI interactions, knowledge retrieval, and automation. Optimize AI-powered UIs to ensure seamless and intuitive user experiences. Work closely with AI researchers and ML engineers to integrate LLMs, Retrieval-Augmented Generation (RAG), and automation into production-ready applications. Ship robust, minimal-dependency code that performs efficiently in enterprise environments. ...

Engineer role within the AWS public cloud is both dynamic and forward-looking. Alongside developing strong technical skills across AWS core services, AI/ML platforms, and cloud-native tooling, engineers learn to diagnose complex issues, analyse model and pipeline behaviour, report incidents, and clearly communicate solutions that enable data … support scalable AWS-based AI architectures that deliver seamless support for users, developers, and stakeholders. Develop a strong foundational understanding of AWS, AI/ML services, and cloud operations, supporting progression into advanced cloud, data, or machine learning engineering pathways. Create specialist AI support engineers with subject matter ...

decision-making. You'll take ownership of evolving the company's AWS-based data infrastructure and contribute directly to high-impact initiatives across analytics, ML, and AI. Key Responsibilities: Build, maintain and enhance data pipelines from operational systems into analytics platforms Partner with Engineering & DevOps to support ingestion, replication … Build analytics-ready datasets in AWS Redshift, using dbt for transformation Improve data quality, monitoring and documentation across the data stack Support ML/AI initiatives with clean, well-structured datasets Ensure data practices align with GDPR, security and compliance standards Experience Required Strong SQL skills and experience working with ...

high‐volume data processing. You will work at the heart of their next‐generation data architecture, designing distributed systems that support cutting‐edge machine learning workloads at scale. The Company They are a specialist AdTech organisation using advanced data processing and AI to understand consumer behaviour at massive … learn the other as needed. • Work across big data processing, data warehousing and high‐volume SQL‐based modelling. • Contribute to the architecture underpinning ML and GPU‐backed inference workloads. • Develop resilient, cost‐efficient systems that scale as data volumes grow. • Improve the existing platform and help build new tools, pipelines ...

similar Stakeholder managemenT Useful but not essential: Lakehouse or cloud-native data platform architecture experience Data lakes, object storage, and large-scale analytical processing ML or advanced analytics exposure AWS security, networking and access control GDPR and data governance awareness DAY TO DAY No two days will look the same ...

Role As Lead Data Scientist, you will: Lead and develop a growing Data Science team, setting standards and delivery cadence Own end-to-end ML solutions -from problem framing and feature engineering to deployment, monitoring, and governance Translate business objectives into modelling strategies aligned to risk appetite and operational constraints … regulated environment This role requires someone who thinks beyond experimentation - focusing on operational impact, adoption, and long-term model performance. Essential Experience Proven commercial ML/Data Science delivery with measurable impact Experience taking models into production and managing performance over time Prior experience leading or mentoring Data Scientists Strong ...

effective AI adoption and usage. Contribute to the development of scalable prototypes and production-ready solutions. Ideal Candidate Hands-on experience with AI/ML tools (e.g. NLP, predictive modelling, process automation). Familiarity with cloud platforms (AWS, Azure, or GCP). LLM experience Strong problem-solving and collaboration skills. ...