1 to 25 of 55 Permanent Machine Learning Jobs in Manchester

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 ...

Title: AI/ML Engineer – Data Science Location: United Kingdom (Remote/Hybrid) Eligibility: Permanent UK Citizenship required Experience: 5–7 years (Mandatory in Data Science/AI-ML) Role Overview We are seeking a skilled AI/ML Engineer – Data Science to design, develop, and deploy scalable machine … Responsibilities - Design, build, and optimize machine learning and deep learning models for real-world applications. - Develop and deploy AI/ML solutions using modern Python-based frameworks. - Implement NLP models and solutions for structured and unstructured data. - Build and maintain production-ready ML pipelines, ensuring scalability ...

Automating Machine Learning workflows (training → deployment) with AWS & GitOps Deploying LLMs using Kubernetes & Docker Building infrastructure with Terraform & Helm Monitoring and maintaining ML models with performance alerts and dashboards Supporting CI/CD for ML pipelines Developing production-grade APIs (REST/gRPC) to serve models Collaborating with … DevOps or MLOps roles (ideally in AWS environments) Hands-on with Docker, Kubernetes, and Terraform Strong scripting skills in Python or Bash Familiar with ML lifecycle tools, model monitoring, and versioning Exposure to tools like KServe, Ray Serve, Triton, or vLLM a big plus Bonus Points: Experience with observability frameworks ...

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 ...

delivery of cutting-edge Machine Learning and AI-powered products. This role is ideal for someone who combines strong technical credibility in ML/AI environments with proven leadership and people management skills. You'll oversee delivery pipelines, mentor engineers, and ensure AI-driven products are delivered … standard - on time and aligned to business impact. Key Responsibilities Lead, mentor, and develop a team of engineers working across software and AI/ML initiatives Drive delivery across multiple concurrent projects, ensuring alignment with business and product goals Oversee technical direction, architecture, and best practices across Machine Learning ...

ingestion pipelines from structured and unstructured data sources Integrating predictive models into operational applications used by claims handlers and lawyers Supporting the deployment of machine-learning models into production environments Assisting with CI/CD pipelines to ensure analytics products are stable, scalable, and secure Working alongside … Some experience in software development (academic, placement, or early career) An understanding of APIs and systems integration concepts A strong interest in predictive modelling, machine learning, and analytics Good problem-solving skills and a proactive willingness to learn Desirable Exposure to analytics platforms or machine learning ...

weeks (with potential for extension) Status: Outside IR35 Location: Remote (UK-based) Start Date: ASAP About the Role We are seeking an experienced Data & ML Contractor to deliver a proof of concept using static, structured datasets. This is a focused, pragmatic engagement centred on data preparation, feature engineering, and anomaly … basic data modelling concepts Feature engineering: ability to craft interpretable, business-relevant features Anomaly detection experience: practical knowledge of rule-based and statistical methods; ML-based approaches where appropriate Requirements & communication: ability to work with stakeholders, define success criteria, and explain outputs clearly Desirable (Nice to Have) Power BI/ ...

join their expanding data function. This is an excellent opportunity for an early-career data professional to gain hands-on experience across the full machine learning lifecycle in a regulated, real-world environment. You’ll work closely with Senior Data Scientists, Data Engineers, and Analysts to develop, test … Early career stage (graduate, placement, bootcamp, or personal projects) Strong Python skills (pandas, scikit-learn) Solid SQL skills (joins, aggregations, relational data) Understanding of ML fundamentals (train/test splits, overfitting, evaluation metrics) Clear communication skills Strong learning mindset and interest in AWS/cloud technologies Comfortable working ...

Senior Software Engineer/Agentic AI and Machine Learning Conquer AI Location: UK based, remote friendly About Us! Conquer AI is a specialist AI consultancy and software engineering firm that helps enterprises reimagine critical processes using AI. We work with FTSE 100, FTSE 250, and Fortune 500 companies … Hands on experience with agent based or multi agent AI systems Practical experience working with LLMs and SLMs in real applications Good understanding of machine learning concepts and trade offs Strong backend engineering skills and comfort owning systems end to end Experience designing systems that prioritise accuracy, explainability ...

Financial Crime, Data & AI-driven SaaS company helping organisations detect, prevent, and manage financial crime at scale. Our platform combines advanced data, AI and machine learning to deliver market-leading solutions across: Financial Crime Risk Management Anti-Money Laundering (AML) & Counter-Terrorist Financing (CTF) KYC & Risk Assessment Watchlist … from anywhere Competitive base salary + uncapped commission High-growth SaaS business in a mission-critical market Opportunity to sell cutting-edge AI and machine learning technology Clear career progression and leadership opportunities Collaborative, ambitious, and supportive culture ...

organisation, which will provide insights into how we operate, and the collaborative environment you’ll be part of. This lays the foundation for a learning journey tailored to your goals and preferred style of development. From day one, you’ll have access to mentors and subject matter experts … encouraged every step of the way, becoming an integral part of our innovative team. We’ll provide the space and resources for continuous learning, experimentation, and improvement – with up to 30% of your time dedicated to personal development. From books, online courses, and conferences to real-world projects supported ...

internet actually works Experience with Splunk & SPL SQL or similar data manipulation skills Exposure to network security products HTML, CSS, JavaScript Data Science or Machine Learning experience Location & Flexibility Edinburgh-based engineers: hybrid working (typically 2 days in office) Fully remote options available for the right candidate Cutting ...

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 ...

agile delivery model, enabling their teams to be involved in different projects and audit analytics delivery including data migration, governance, data analytics, advanced (AI-ML) analytics, platform development and robotic process automation (RPA) services. Job purpose As an Assistant Data Manager, you will be supporting in developing audit analytics tools ...

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 ...

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 ...

Selling • Nearshore software engineering with a demonstrable ROI • Agile delivery management • Quality assurance & test automation • Cloud computing & DevOps • AI, Data Science, and Machine Learning • Business intelligence & analytics • Mobile and greenfield product delivery This is your opportunity to represent one of the UK’s most respected nearshore engineering partners ...

Azure Data Factory. • Drive DevOps best practices including CI/CD, automated testing and infrastructure as code. • Collaborate closely with data engineers, ML engineers and wider technical teams to deliver robust platform capabilities. • Take ownership of key data platform projects and influence engineering direction. • Provide technical leadership and ensure standards ...

checks across large datasets Investigate data issues and improve reliability, consistency and trust in the outputs Work closely with Product, Data Engineering, Apps and ML teams to deliver new features and improvements Keep documentation clear, current and genuinely useful This is a role for someone who cares about how data ...

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 ...

Databricks-centric environment at scale. THE COMPANY: This client are a well-established organisation with a strong engineering culture and a growing Data and Machine Learning function. The team is collaborative, supportive and operates with solid engineering principles at its core. With flexible-by-choice working, a positive ...

talented individuals. Exposure to working with fortune 500 companies and innovative market disruptors. Exposure to the latest technologies related to artificial intelligence and machine learning, data and cloud. ...