1 to 25 of 141 Machine Learning Jobs in the North West

ECOM are partnered with an exciting software development company based in Manchester who are looking for a Senior Machine Learning Engineer. You will join an innovative technology company at the forefront of machine learning and artificial intelligence solutions. As a Senior Machine Learning Engineer … be part of a dynamic team dedicated to pushing the boundaries of AI technology and creating impactful solutions. Role Overview: Seeking a talented Senior Machine Learning Engineer to lead the development and implementation of advanced machine learning models and algorithms. As a key member of our … team, you will work on challenging projects, leveraging your expertise in machine learning to drive innovation and solve complex problems. Responsibilities: - Design, develop, and deploy machine learning models and algorithms to address business challenges and opportunities. - Collaborate with cross-functional teams, including software engineers and data More ❯

benefit options including discounts at hundreds of retailers, cycle to work scheme, discounted gym memberships and healthcare schemes Employee assistance and well-being programmes Learning and development tailored to your role - this could include industry recognised qualifications, coaching and mentoring An inclusive and diverse environment with opportunities to join … contacting us with the job reference in the subject. Introduction BBC R&D's AI Research Applied Area is focused on the use of Machine Learning and Artificial Intelligence across the BBC. AI Research works closely with other BBC R&D Applied Research Areas, BBC Product and Technology … Groups and senior business stakeholders across the BBC to accelerate Machine Learning based innovation. Reporting to the Head of AI Research, the Senior Principal Data Scientist will lead a team of machine learning researchers focusing on natural language processing. As a Senior Principal Data Scientist, you More ❯

projects from initial development through to deployment. Responsibilities: Develop and deploy scalable machine learning models into production environments Build and maintain robust ML pipelines using modern cloud and MLOps tooling Collaborate with data scientists, engineers, and stakeholders to deliver end-to-end solutions Implement testing, monitoring, and performance … optimisation of ML systems Contribute to architectural discussions and promote engineering best practices Technical Environment: Python, PyTorch or TensorFlow AWS (including SageMaker, S3, Lambda) or Azure ML Docker, Kubernetes, Airflow CI/CD tools (e.g. GitHub Actions, Jenkins) MLflow or similar frameworks Required Experience: Proven track record of deploying machine learning models to production Strong programming skills in Python and familiarity with modern ML frameworks Experience working in cloud environments (preferably AWS) Understanding of MLOps practices and tooling Effective communication and ability to work independently in a remote team Desirable: Experience with LLMs or generative AI technologies Previous More ❯

projects from initial development through to deployment. Responsibilities: Develop and deploy scalable machine learning models into production environments Build and maintain robust ML pipelines using modern cloud and MLOps tooling Collaborate with data scientists, engineers, and stakeholders to deliver end-to-end solutions Implement testing, monitoring, and performance … optimisation of ML systems Contribute to architectural discussions and promote engineering best practices Technical Environment: Python, PyTorch or TensorFlow AWS (including SageMaker, S3, Lambda) or Azure ML Docker, Kubernetes, Airflow CI/CD tools (e.g. GitHub Actions, Jenkins) MLflow or similar frameworks Required Experience: Proven track record of deploying machine learning models to production Strong programming skills in Python and familiarity with modern ML frameworks Experience working in cloud environments (preferably AWS) Understanding of MLOps practices and tooling Effective communication and ability to work independently in a remote team Desirable: Experience with LLMs or generative AI technologies Previous More ❯

Are you a data-driven problem solver with expertise in machine learning and data manipulation? PwC is looking for a Data Scientist to join its innovative team. This role requires hands-on experience with machine learning techniques and proficiency in data manipulation libraries such as Pandas … identifies and develops AI solutions that solve hard problems for PwC and for its clients. Our team works at the frontier of AI and ML in professional services. We work across multiple industries, including healthcare, financial services, and professional services. We are looking for people to contribute to the development … stakeholders, technology teams, and other relevant groups to understand their needs, gather requirements, and align AI solutions with organisational goals. Prototyping, developing, and deploying machine learning applications into production. Contributing to our machine learning enabled, business-facing applications. Contributing effective, high quality code to our codebase. More ❯

About the Machine Learning Engineer for CDAO Europe CDAO Europe is looking for a machine learning engineer to build efficient, data-driven AI systems that advance our predictive automation capabilities. The candidate should be highly skilled in statistics and programming, with the ability to confidently assess … analyze, and organize large amounts of data. The candidate should also be able to execute tests and optimize Vanguard's machine learning models and algorithms. This person will play a critical role in designing and developing machine learning algorithms and AI applications and systems for Vanguard … solve complex problems with multilayered data sets, and optimize existing machine learning libraries and frameworks. They will collaborate with data scientists, data analysts, data engineers, and data architects on production systems and applications, and identify differences in data distribution that could potentially affect model performance in real-world More ❯

into our products to benefit customers, and learning from how our users interact with those products to drive continuous innovation. As an ML Ops Engineer, you'll play a critical role in ensuring that our machine learning features aren't just smart-they're scalable, efficient … where employees work 2 days a week in the Manchester office. What you will be doing Bridge Dev and AI : Build and scale reliable ML workflows that power features like our natural language interface and AI-enhanced pipelines. Make AI Production-Ready : Deploy and maintain generative AI systems in real … frameworks (like LangChain), AWS, data governance, and more over your first 12 months. What we are looking for Solid Technical Foundation : Experience with Python, ML workflows, cloud platforms (especially AWS), and data engineering tools. AI-Curious : Some exposure to Generative AI, agentic systems, and a drive to deepen your knowledge More ❯

as a data scientist in a global organisation, covering a broad spectrum of analytical skills from data mining and trend analysis to developing advanced machine learning models. Demonstrated ability to coach Data Scientists, including project planning and stakeholder relationship management. Ability to analyze large structured and unstructured datasets … fraud, and business data, using tools like Python, Jupyter Notebook, Hadoop, Spark, and REST APIs. Knowledge of descriptive and prescriptive analysis, understanding data distributions, machine learning algorithms, and building KPIs based on defined problems. Strong foundation in statistics, including probability, hypothesis testing, and ANOVA. Experience designing and building … multiple locations. Active participation in data science research and development. This role is based in Knutsford. Purpose of the role Leverage data analytics and machine learning to extract insights, inform strategic decisions, and foster innovation. Accountabilities Data collection, cleaning, and transformation from various sources. Development and maintenance of More ❯

optimize data processing pipelines for large-scale datasets. Design, implement, and maintain scalable applications using Python. Collaborate with data scientists and analysts to integrate machine learning models and algorithms into production systems. Build and deploy RESTful APIs or micro services to support data-driven applications. Perform data wrangling … environment and handle multiple tasks effectively. Eagerness to learn and adapt to new tools and technologies. Preferred Qualifications (Nice-to-Have): Basic understanding of machine learning concepts and frameworks like Scikit-learn, TensorFlow, or PyTorch . Understanding … of DevOps practices and CI/CD pipelines. Familiarity with cloud services such as AWS, Azure, or GCP. Hands-on experience with AI/ML workflows or deploying machine learning models in production. Knowledge of big data technologies like Hadoop, Hive, or Spark. Familiarity with MLOps tools and More ❯

Machine Learning Engineer - Python - Manchester (hybrid/remote) Overview: #TeamCandour are seeking a passionate and innovative Machine Learning Engineer/Data Scientist to join the team of our global financial services client out of their offices in Manchester on a hybrid basis. If you have an More ❯

Patent Attorney, AI and Machine Learning - UK based London, Bristol, Manchester or Cambridge Mewburn Ellis is the forward-looking IP firm. Over 150 years old, but very much with a focus on the future, we are at the top of our profession. We are 'Top Tier' in Legal … us on our exciting journey. The role The Mewburn Ellis Engineering and ICT Practice Group is growing and looking for an Artificial Intelligence/Machine Learning specialist to join the team. This new position will allow you to work with a number of clients at the cutting edge … in a variety of backgrounds such as maths, physics, computer science so long as there has been a significant formal component in AI or ML or even an AI/ML certificate attained separately to the STEM degree. Another route could be some solid AI/ML specific industry experience. More ❯

Location: [Manchester - Hybrid/Home working] 💼 Job Type: Full-time 💷 Salary: £50,000 - £80,000 base AI/ML Engineer – Start-Up – Stock Consideration We are looking for a mid-level AI/Machine Learning Engineer to join a vibrant early tech start-up in Manchester. Do you … to recent investments and ambitious growth plans, they are looking for an AI Engineer to join the team The Role: As an AI/ML Engineer, you’ll transform complex behavioural data into responsive, intelligent, and scalable systems that think and adapt in real time. Architect and deploy machine … automation. Collaborate with cross-functional teams to align tech with user-centric product design. What We’re Looking For: 2+ years in AI/ML engineering or backend software roles with ML components. Proficiency in Python and frameworks like PyTorch/TensorFlow, Scikit-learn. Experience deploying models with Docker, Kubernetes More ❯

be to harness the power of data to extract meaningful insights, inform strategic decisions, and contribute to the overall success of the organisation using machine learning and statistical techniques. You will have access to the latest analytical tools and the chance to work with some of the most … offers from leading retailers, travel groups and entertainment companies Enhanced maternity and paternity leave Grandparents leave Income protection Access to Saga Academy, our bespoke learning platform Main Responsibilities Our Senior Data Scientist will be fully accountable for the following areas; Advanced Analytics & Modelling: Design, develop, and implement advanced machine learning algorithms and statistical models to solve complex business problems. Drive the exploration and adoption of cutting-edge data science techniques and technologies. Insights and Reporting: Extract actionable insights from large, complex datasets to guide business decision-making. Collaboration with Stakeholders: Working closely with business stakeholders and technical More ❯

roles. Partner closely with C-Suite management to present project/product results Help drive end to end data science and implement AI/Machine Learning Ensuring that all data science deliverables meet the highest standards of quality, accuracy, reliability and implement rigorous testing and validation processes to … pre-processing, feature engineering, model selection, training, evaluation, and validation Who You Are: Have a master’s or PhD in Computer Science, Statistics, Physics, Machine Learning or related field. Proven track record of successfully leading Data/Machine Learning teams Experienced in building and deploying a More ❯

to explore new opportunities for us and influence global retailers. Joining our team, you'll work with world class and passionate people to apply machine learning, statistical, optimisation and econometric methods to business problems. You'll contribute to the research and implementation of new approaches to address complex … with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark and SQL Experience implementing and validating … a range of machine learning and optimization techniques Effective scientific communication for varied audiences Autonomy and ownership of projects Good understanding of software engineering principles and best practices What you can expect from us We won't just meet your expectations. We'll defy them. You'll enjoy More ❯

to explore new opportunities for us and influence global retailers. Joining our team, you'll work with world class and passionate people to apply machine learning, statistical, optimisation and econometric methods to business problems. You'll contribute to the research and implementation of new approaches to address complex … with significant business impact Performing exploratory data analysis and model validation What we expect from you Master's degree/PhD in Computer Science, Machine Learning, Applied Statistics, Physics, Engineering or related field Strong mathematical and statistical skills Experience with Python, Spark, and SQL Experience implementing and validating … a range of machine learning and optimization techniques Effective scientific communication for varied audiences Autonomy and ownership of projects Good understanding of software engineering principles and best practices What you can expect from us We won't just meet your expectations. We'll defy them. So you'll More ❯

a high-growth, innovation-led software company delivers full-stack development solutions across a wide range of sectors, with a strong focus on AI, machine learning, and image recognition technologies. Known for outperforming larger competitors, the company is agile, fast-moving, and highly adaptable to client needs. The … including daily stand-ups and sprints Conducting code reviews and mentoring junior developers Staying up to date with emerging tech, especially in AI and machine learning Candidate Requirements: Proven experience with Microsoft .NET Core, Web API, C#, and C++ Hands-on knowledge of Azure DevOps, Kubernetes, and Microsoft … SQL Server Strong full-stack development skills (front-end and back-end) A keen interest in or prior experience with AI, machine learning, and recognition technologies Excellent problem-solving, communication, and collaboration skills Ability to work independently and manage time effectively Confident communicator What the Company Offers: Hybrid More ❯

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 … 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 More ❯

Location: Remote (UK-based candidates only) Rate: £400/day Contract Type: Outside IR35 An exciting opportunity for a Machine Learning Engineer to work on a cutting-edge healthcare AI project. You’ll focus on building and optimising models using LLMs , NLP , and biomedical data to transform clinical … research. Key Skills: Machine Learning, LLMs, NLP Python, PyTorch, TensorFlow Healthcare or clinical data experience (preferred) Interested? Contact me directly at bart.townley@exploreltd.com or send me a message. More ❯

value, and together, we're scaling that impact even further. Your mission To partner with customers across various sectors, leveraging the latest advancements in machine learning, data science, and AI to solve real-world commercial challenges. You'll play a key role in transforming how customers operate by … to on-site customer teams, handling diverse situations with independence and responsibility. Stay up-to-date with technological developments, research, and emerging trends in machine learning, AI, and data science. Apply expertise in statistical modeling, forecasting, optimization, and advanced analytics to address customer needs. Communicate complex data insights … business value. Continuously seek opportunities to expand your role and impact as UiPath grows. What you'll bring to the team Enthusiastic expertise in machine learning, data science, AI, and a passion for innovative applications. Strong programming skills or the ability to quickly learn new technologies, with experience More ❯

Location: [Manchester – Hybrid 3 days in the office/Home working] 💷 Salary: £75,000 - £100,000 base (dependent on experience) Senior AI/ML Engineer – Behavioural Biometrics/Data Science – Early Equity Opportunity We’re looking for candidates with strong experience in Computational Linguistics to help build and refine intelligent … on the horizon, this is the ideal time to get in early and make a defining impact. We’re seeking a Senior AI/ML Engineer with a data science foundation , strong academic background (MSc/PhD preferred), and a proven track record of building and deploying real-world AI … systems from research to production. The Opportunity - Senior AI/ML Engineer: As a senior member of this growing team, you’ll help architect and scale intelligent systems that analyse complex behavioural data (e.g. sensor, motion, touch, or biometric patterns). You'll work across the full lifecycle, from R More ❯

Manchester – Hybrid 3 days in the office/Home working] 💷 Salary: £75,000 - £100,000 base (dependent on experience) Data Scientist - (Senior AI/ML Engineer) – Behavioural Biometrics/Data Science – Early Equity Opportunity We’re looking for candidates with strong experience in Computational Linguistics to help build and refine … this is the ideal time to get in early and make a defining impact. We’re seeking a Data Scientist/Senior AI/ML Engineer with a data science foundation , strong academic background (MSc/PhD preferred), and a proven track record of building and deploying real-world AI … systems from research to production. The Opportunity - Data Scientist - Senior AI/ML Engineer: As a senior member of this growing team, you’ll help architect and scale intelligent systems that analyse complex behavioural data (e.g. sensor, motion, touch, or biometric patterns). You'll work across the full lifecycle More ❯

MLOps Engineers (Mid, Senior & Lead level) – UKIC DV Cleared | AI/ML Start-up | Manchester | Hybrid Are you an MLOps Engineer with active UKIC DV clearance looking to make a real-world impact at the cutting edge of AI and machine learning? We’re hiring Mid, Senior, and … the forefront of delivering scalable, production-grade AI solutions across mission-critical domains. You’ll play a key role in designing and deploying robust ML infrastructure, supporting both public and private sector clients. What You'll Do as an MLOps Engineer: Deploy and manage machine learning models in … tools like Terraform, Docker, Kubernetes, and Python Contribute to agile ceremonies (sprint planning, retrospectives, code reviews) Collaborate on high-impact, real-world AI/ML projects that truly make a difference Contribute ideas in a relaxed, open, and innovation-driven culture Location & Flexibility for the MLOps Engineer: Hybrid role based More ❯

AI into every layer of our platform. Our Data Science team-part of the Product organisation-is dedicated to two vital missions: bringing impactful machine learning capabilities into our products, and learning from real user behaviour to make them even better. As a Data Scientist, you'll … team and build a world-class AI capability at Matillion. What we are looking for Deep AI Knowledge : MSc, PhD, or equivalent experience in ML, NLP, or a related discipline, with strong understanding of LLM internals. Toolbelt Ready : Proficient in Python and LLM tools like Hugging Face, LangChain, or OpenAI … technology to load, transform, sync, and orchestrate their data for a wide range of use cases from insights and operational analytics, to data science, machine learning, and AI. With over $300M raised from top Silicon Valley investors, we are on a mission to power the data productivity of More ❯

systems — and fluent in all things Databricks ? We’re hiring an AI Engineer to lead the development of next-gen solutions using generative AI , ML , and Databricks-native tools . This is a fantastic opportunity for a skilled engineer who wants to build real-world applications with Databricks at the … heart of it all . This role is ideal for someone who enjoys blending technical precision with innovation. You’ll: Build and manage ML pipelines in Databricks using MLflow, Delta Lake, Spark, and Mosaic AI. Train and deploy generative models (LLMs, GANs, VAEs) for NLP, content generation, and synthetic data. … using Databricks-native tools . Collaborate with cross-functional teams and clients to deliver real-world AI applications. Required: 4+ years in AI/ML engineering with hands-on Databricks experience . Strong Python skills with experience in TensorFlow, PyTorch, or Scikit-learn. Cloud experience ( Azure preferred, or AWS/ More ❯