1 to 25 of 102 Permanent Machine Learning Jobs in Warrington

Research Machine Learning Engineer - World Leading Team - Cambridge/London A world-leading tech company is looking for an exceptional Research Machine Learning Engineer to join its elite AI research division. This is a unique opportunity to work on some of the most complex and exciting … problems in machine learning - driving cutting-edge innovation with real-world impact. What they’re looking for: Candidates should ideally hold a PhD in a relevant field, with a strong record of publications in top-tier conferences or journals. Deep expertise in machine learning algorithm development … essential, and they’re especially interested in those who thrive in pushing the boundaries of what’s possible. Nice to have experience in: Reinforcement learning Large Language Models (LLMs) Optimisation methods Deep learning frameworks (e.g., TensorFlow, PyTorch) Applied AI research at scale What’s on offer: Hybrid remote More ❯

Senior Machine Learning Engineer Up to £100,000 London (Fully Remote) Company: Join an innovative, fast-paced crypto start-up at the forefront of cutting-edge technology. This is your opportunity to work with the latest advancements and take a pivotal role in advancing their analytics platform. As … a Senior Machine Learning Engineer, you’ll be at the forefront of innovation, developing and implementing machine learning models to optimize the platform’s performance. You’ll work with a dynamic team, leveraging state-of-the-art technologies to drive the company’s growth. Responsibilities: Develop … and deploy machine learning models to enhance the analytics platform. Collaborate with cross-functional teams to define and implement AI-driven solutions. Work on innovative, data-driven projects within the crypto space. Stay up to date with the latest trends in machine learning and crypto technologies. More ❯

and structural data . Customize existing tools and develop new ones for integrative analysis and visualization of large-scale systems immunology data . Drive ML-based pipelines for diagnostic or therapeutic design . Benchmark computational methods and optimize performance across datasets. Lead or contribute to collaborative projects spanning academic, clinical … . Practical experience with TensorFlow and/or PyTorch . Preferred Qualifications 3+ years post-graduate experience in academia or biotech/pharma, applying ML/AI to biological datasets . Prior exposure to immunology , especially TCR/BCR repertoire analysis, or experience with protein design & or biologics. Deep expertise … in at least one of the following areas: Language models for sequence analysis Diffusion models in molecular design Graph ML in biomedical networks Experience with GPU computing (cloud or HPC clusters) . More ❯

in Generative AI and language models to spearhead innovative initiatives that leverage cutting-edge techniques in NLP and AI Adept at applying advanced deep learning techniques in practical scenarios Well-versed in the latest advancements and trends in machine learning, deep learning, NLP, and their practical … your skill set within a dynamic and supportive environment Work with Big Data solutions and advanced data tools in cloud platforms Build and operationalize ML models, including data manipulation, experiment design, developing analysis plans, and generating insights Lead teams of data scientists and software engineers to successful project execution TOGETHER … WE WILL Maintain a synergy of Data Scientists, DevOps team, and ML Engineers to build infrastructure, set up processes, productize machine learning pipelines, and integrate them into existing business environments Drive innovation in the realm of Generative AI and Language Models contributing to groundbreaking projects that redefine AI More ❯

machine learning, and applied AI - particularly Generative AI. This role will suit a technically capable professional who combines real-world AI/ML solution delivery experience with a solid understanding of the Azure ecosystem. The ideal candidate will bring hands-on expertise in designing and building AI-driven … gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot More ❯

Remote Up to £65,000 We are working with an exciting scale up within the insurance space, who aim to revolutionise the industry through Machine Learning and advanced pricing strategies. They are seeking a Pricing Data Scientist to develop sophisticated pricing models, optimize predictive capabilities, and enhance automation … eager to make a significant impact in a cutting-edge environment. As a Pricing Data Scientist, you will play a crucial role in leveraging machine learning techniques to refine pricing strategies and improve … business outcomes. You will work closely with engineers and analysts to implement scalable pricing solutions and continuously monitor performance. Key Responsibilities Develop and refine ML-driven pricing models to enhance risk assessment and profitability. Apply advanced statistical and machine learning techniques to optimize pricing accuracy. Automate and streamline More ❯

Staff AI/ML Engineer Location: Remote (UK) Employment Type: Full-time About the Company: A fast-growing, innovation-led software business delivering specialised tools for professionals in the built environment sector. With two decades of success and a strong global customer base, their vision is to enable better visual … storytelling through smart, scalable technology. Backed by a leading private equity firm, they’re expanding rapidly and investing in cutting-edge AI and ML capabilities to take the platform to the next level. The Role: This is an opportunity for an experienced and technically hands-on Staff Software Engineer – AI …/ML to take a leading role in defining, building, and scaling their AI and machine learning capabilities. This is a foundational role that combines technical leadership, strategic thinking, and day-to-day development. We are looking for someone who has focused on hands-on coding rather than More ❯

Machine Learning Engineer Remote with Travel Are you an experienced Machine Learning Engineer looking to work on cutting edge cloud projects for prestigious clients? This organisation has experienced continually strong growth since founding, and this exciting role would see the successful candidate design, build and deliver … support for this Bonus About the role As a mid-to-senior level Machine Learning Engineer, you will be involved in creating ML models to be deployed in the cloud and supporting the Data Engineering, DataOps and Devops. You will be working with the latest technology on highly … visible and large-scale projects. What you’ll bring to the role Strong grounding in ML approaches, techniques and frameworks Python, Pandas, Tensor Flow, Scikit-learn, Numpy, SciPy Experience deploying to the cloud and working with Azure (Azure DevOps, Azure ML, Azure SQL, ADF etc.) Able to work with databases More ❯

Permanent Remuneration (London; On-site): £70–90k Base Salary + Discretionary Bonus + Equity We are a stealth-mode AI laboratory researching and developing Machine Learning models. The founding team consists of Cambridge graduates and former engineers at Microsoft, Bloomberg and Goldman Sachs. We are backed by prominent … UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend infrastructure for Machine Learning workloads. You will be working closely with the Machine Learning team; however, you are not required or expected to have … background in Machine Learning. This is an applied role, and we are looking to hire a software engineer with experience in cloud computing and distributed systems. In this role, you will: Design and develop highly-scalable, fault tolerant and event driven systems. Take ownership of tasks, having a high More ❯

gaps that are a block to Data and Ai implementation. Implement robust security measures to protect sensitive data within Azure environments. Integrate AI and machine learning models into data pipelines and applications. Develop and deploy AI solutions using Azure Machine Learning services. Have a knowledge of top ML libraries scalable across multiple CPU’s and GPU’s. Such as TensorFlow, PyTorch, Keras, OpenAI, XGBoost. And have used these in a commercial setting. Troubleshoot … ESSENTIAL Other Requirements Proficiency in Azure data services (Azure Data Factory, Azure Databricks, Azure Synapse Analytics, etc.) - ESSENTIAL Experience with AI development using Azure Machine Learning - ESSENTIAL Strong programming skills in languages such as Python, SQL, or C# - ESSENTIAL CORE COMEPTENCIES & SKILLS: Expertise in designing and implementing data More ❯

media, and technology sectors. The Opportunity: We are seeking a highly skilled Audio AI & DSP Engineer to drive innovation in audio signal processing and machine learning applications. This is an opportunity to work at the forefront of AI-generated sound, audio watermarking, and forensic analysis in a fast … paced, high-impact environment. The ideal candidate will have a deep understanding of digital signal processing, machine learning, and generative AI models for audio applications. Key Responsibilities: Develop and optimize advanced algorithms for audio signal processing, including signal injection, enhancement, synthesis, restoration, and error correction. Design and train … adversarial networks (GANs) for audio applications. Knowledge of secure audio processing techniques, watermarking, and cryptographic applications in AI. Experience with cloud-based AI/ML infrastructure for training and deployment. Background in audio engineering, acoustics, or music technology. Why Join Us? Be part of a high-impact, high-growth team More ❯

data science team as we scale. Key Responsibilities Design and implement data science solutions to drive business insights and decision-making Build and deploy machine learning models to solve real business problems Develop and maintain data pipelines and analytics infrastructure on Azure Collaborate with cross-functional teams to … Mentor team members and contribute to building a data-driven culture Essential Requirements Technical Skills: Proficiency in Python or R for data analysis and machine learning Strong SQL skills for data extraction, transformation, and analysis Experience with Azure cloud platform and services Hands-on experience with AI productivity … tools (e.g., GitHub Copilot, ChatGPT, etc.) Practical machine learning experience including model development, validation, and deployment Experience working with data platforms and infrastructure (any technology stack) Professional Experience: Proven track record of delivering data science projects in a business environment Experience translating business requirements into technical solutions Strong More ❯

Remote-first (UK-based) Salary: £70,000 The Company A Series D tech scale-up is reshaping the travel and hospitality industries through advanced machine learning and forecasting. Purpose-built for this space, their platform leverages deep learning to drive revenue optimisation, automation, and real-time analytics. … time series forecasting models with a strong focus on accuracy and scalability Improve existing model performance and drive innovation through new methodologies Develop internal ML and forecasting libraries using Python Translate product goals into technical solutions in collaboration with leadership Implement validation frameworks, unit tests, and monitoring pipelines Stay current … DevOps-first approach for model deployment Skills & Experience: Essential: Strong background in statistics, machine learning, and time series forecasting Experience with modern ML models (e.g. transformers, CNNs, attention mechanisms) Proficiency in writing production-level Python code Familiarity with CI/CD practices, testing, and model validation Confident working 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 ❯

senior engineers and consultants to contribute to proofs of concept, pilots, and production projects Learn and apply best practices in data engineering, AI/ML model integration, and cloud architecture Stay up to date with evolving Azure services and modern AI frameworks (e.g., Azure OpenAI, LangChain, Prompt Flow) Help document … Azure Fundamentals, DP-900, AI-900) is a bonus but not required - DESIRABLE Other Requirements Strong foundational knowledge of Python, data structures, and basic ML/AI concepts - ESSENTIAL Awareness of cloud computing fundamentals, preferably Microsoft Azure - ESSENTIAL Strong problem-solving skills and eagerness to learn new technologies - ESSENTIAL Clear … Data Factory, or Azure OpenAI - DESIRABLE Experience with Jupyter Notebooks, version control (e.g., Git), or working with APIs - DESIRABLE Demonstrated interest in AI/ML through coursework, personal projects, or internships - DESIRABLE CORE COMEPTENCIES & SKILLS: Growth mindset – actively seeks opportunities to learn and improve Team collaboration – works well within delivery 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 ❯

functional team, enhancing and developing state-of-the-art features for their platform. Your role will involve preparing and analysing datasets, crafting mathematical and machine learning models, and developing clear visualisations that translate intricate findings into actionable recommendations. Role Overview As a Junior Data Scientist, you'll be … an integral part of a cross-functional team, enhancing their platform's capabilities. Responsibilities include preparing and analysing datasets, developing models with machine learning, and creating engaging visualisations that turn complex information into practical insights. Key Responsibilities Preparing, cleaning, and structuring data for model development. Investigating patterns, trends … and anomalies within datasets. Building and enhancing machine learning algorithms, with guidance from the Lead Data Scientist. Presenting findings through clear, informative visualisations. Writing and optimising SQL queries for data management and manipulation. Collaborating with colleagues across the business to meet objectives using problem-solving skills and sharing 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: [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 ❯

Senior Machine Learning Engineer | Remote (UK) + Occasional Bedford Office | £65–80k + Bonus & Benefits 💥 We’re hiring for a UK tech company that … s doing seriously smart work in low-code, automation, and AI. Their AI team is growing fast, and they’re looking for an experienced ML engineer to help build and scale GenAI features across real products. You’ll be hands-on with NLP pipelines, RAG systems, LLM deployment, and AI … AWS (with support from DevOps) Cross-team collaboration and mentoring Why join? Own and build GenAI features that actually ship Mix of hands-on ML, infrastructure, and product input Remote-first with flexibility and a solid team culture It’s a remote-first setup (occasional office visits), with a clear More ❯

including retrieval augmented systems (RAGs), recommender systems, and agentive systems. You will: Invent, experiment with, and launch new features, products and systems based on machine learning and MLLM. Perform hands-on construction and analysis of large-scale multi-modal datasets to be deployed as part of our product … test experiments, optimise and deploy your models into production, working closely with software engineers. Establish automated processes for large-scale data analysis and generation, machine-learning model development, model validation and serving. Communicate results and insights to both technical and non-technical audiences, including through presentations and written … in Python, Java, C++, or a related language Strong skills in algorithm development to solve optimisation problems Familiarity with core tools for a typical ML-focused work environment (e.g. Git, IDE, common libraries, HuggingFace). Ability to work as part of a team Be comfortable with a fast-paced, high More ❯

with a focus on data manipulation and engineering. A genuine interest in data science and a drive to expand your skillset into predictive analytics, machine learning, or statistical modeling. Strong analytical and problem-solving skills with a passion for optimising workflows. Excellent communication and teamwork abilities to thrive … quality across the organization. Write clean, efficient, and reusable Python code tailored to data engineering tasks. Collaborate with data scientists and stakeholders to support machine learning initiatives and advanced data modeling. Drive innovation by researching and integrating the latest cloud-based technologies and frameworks. Opportunities to learn, cross … skill in AI and contribute to a culture of learning, excellence, and collaboration. Teammates’ benefits : Bonus Schemes Life Assurance Private medical cover Group income protection Great Company Pension Enhanced Sick Pay Enhanced Family Leave Pay Volunteering Leave Teammate recognition scheme Loyalty award scheme 24/7 access to EAP More ❯

analytics, and engineering teams to transform insights into impactful, data-driven strategies. DATA SCIENTIST - ESSENTIAL SKILLS Strong understanding of core data science methodologies, including machine learning algorithms and statistical analysis Proficient in developing end-to-end machine learning workflows using Python Passionate about collaborating with non More ❯