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AI Engineer Job Tenure: Full-time, permanentSalary: CompetitiveCompany Description Ready to join a team that's leading the way in reshaping the future of insurance? Here at esure Group, we are on a mission to revolutionise insurance for good! We’ve been providing Home and Motor Insurance since 2000, with over 2 million customers trusting us to keep them covered through our esure and Sheilas’ Wheels brands. With a bold dedication for digital innovation, we're transforming the way the industry operates and putting customers at the heart of everything we do. Having completed our recent multi-year digital transformation, we’re now leveraging advanced technology and data-driven insights alongside exceptional service, to deliver personalised experiences that meet our customers ever-changing needs today and in the future. Job Description We currently have a phenomenal opportunity for an AI Engineer to join our us as we enhance our customer experience by harnessing the power of NLP, large language models, and flawless integration with third-party GenAI services. In this dynamic role, you'll be involved in every stage of the AI lifecycle, from brainstorming ideas and crafting prompts to fine-tuning models and deploying them into production. Success in this role is measured through rigorous A/B testing, ensuring our solutions deliver real value. You'll have the opportunity to work on a variety of impactful projects across the entire enterprise. We are seeking an innovative individual who shares our vision to fix insurance for good. What you’ll do: • Collaborate with business partners to identify use-cases where GenAI can provide measurable benefits., • Support the data science and AI team in deploying scalable AI applications across the enterprise., • Work with a multi-functional team (DevOps, data engineers, developers, testers, Infosec) to productionize AI services on AWS., • Enhance our tech stack, including MLOps, CI/CD pipelines, UI, and AI Python libraries., • Develop prompts, fine-tune models, and track results., • Evaluate third-party GenAI and LLM technologies for cost-benefit analysis., • Deliver projects from scoping and R&D to production deployment and benefit measurement., • Follow and contribute to standards for code quality, R&D, and model development., • Engineer data for optimal AI application performance., • Advise peers and senior management on business and customer impact., • Write production-grade Python code, leveraging CI/CD, Databricks, and ensuring appropriate test coverage; proficiency in SQL., • Liaise with third-party partners and stay updated on field advancements and regulations., • You are a self-starter with experience in delivering research + models to production to drive tangible commercial benefits and improved customer experiences., • You thrive in working autonomously and collaboratively to drive impact in a fast-paced multi-functional business., • PhD or MSc experience in a numerate subject: Machine Learning, Computer Science, Statistics, or equivalent,, • Demonstrable experience of applying, researching, and developing sophisticated NLP models, prompt engineering + fine-tuning LLMs to drive value in a commercial setting,, • Able to work independently and efficiently to deliver projects on time, taking project briefs and refining them to strong results., • Experienced in engaging with non-technical stakeholders to scope, design and build an appropriate ML solution., • Proficient with Python data science stack, e.g., pandas, scikit-learn, Jupyter etc., and version control, e.g., Git., • Exposure to LLMOps, model monitoring principles, CI/CD and associated tech, e.g., Docker, MLflow, k8s, FastAPI etc., • Knowledge of Langchain, huggingface and LLM offerings by 3rd party vendors., • Knowledge of OO programming and software design, i.e., SOLID principles., • Knowledge and working experience of AGILE methodologies., • Familiarity with Databricks, and RAG application architecture a plus, • Competitive salary that reflects your skills, experience and potential., • Discretionary bonus scheme that recognises your hard work and contributions to esure’s success., • 25 days annual leave, plus 8 flexible days and the ability to buy and sell further holiday., • Our flexible benefits platform is loaded with perks to choose from, so you can build a personal toolkit to support your health, wellbeing, lifestyle, and finances., • Company funded private medical insurance for qualifying colleagues., • Fantastic discounts on our insurance products! 50% off for yourself and spouse/partner and 10% off for direct family members., • We’ll elevate your career with hands-on training, mentoring, access to our exclusive academies, regular career conversations, and expert partner resources., • Driving good in the world couldn’t be more important to us. Our colleagues can use 2 volunteering days per year to support their local communities., • Join our internal networks and communities to connect, learn, and share ideas with likeminded colleagues., • We’re a proud supporter of the ABI’s ‘Make Flexible Work’ campaign and welcome you to ask about the flexibility you need. Our hybrid working approach also puts you in the driving seat of how and where you do your best work.

A technology retail company is seeking an Applied Machine Learning Engineer for a hybrid role in Wolverhampton.You will design and deploy machine learning models to enhance business efficiency and collaborate with cross-functional teams.Ideal candidates should possess strong AI/ML skills, be clear c

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We're looking for a Machine Learning Engineer to design, build, and deploy data-driven models that solve complex problems and enhance real-world performance. Develop, train, and optimise machine learning models to support business and technical objectives. You'll work across the full ML lifecycle, c

Experience in commercial machine learning research and development. Experience working with data, training and evaluating machine learning models. Previously registered audio machine learning patents.

Junior Data Scientist/Junior Machine Learning Engineer. Proficiency oinn Machine Learning libraries and frameworks like Tensorflow, Keras, Pytorch, OpenCV, Bertl, Elmo SpaCy, NLTK, etc. Experience Developing Machine Learning / Data Science models, from coding to deployment.

Staff Machine Learning Engineer – | 3 Roles | UK Remote. I'm working with a fast-growing, PE-backed SaaS business that has just launched a world-leading AI product — and they're expanding their AI/ML engineering team with three Staff-level hires. AI/ML engineering, shipping models in production.

Contract Machine Learning Engineer. ML enablement and platform engineering.

We’re looking for a Machine Learning Research Engineer to join an early-stage quantum computing start-up developing full-stack photonic quantum systems. Design, implement, and evaluate new machine learning algorithms, particularly generative models (GANs, flow models, diffusion models) and hybrid

Job title: Senior Machine Learning Engineer Locations: Manchester or Haywards Heath (hybrid working) Role overview Markerstudy Group are looking for a Senior Machine Learning Engineer to help take leading-edge and novel insurance risk modelling and pricing techniques and participate in creating full

Strong knowledge of machine learning, deep learning (including LLMs), and natural language processing. Machine Learning Engineer | Python | Pytorch | Natural Language Processing | LLM | Large Language Models | Remote, Europe. A Master's or PhD in Computer Science, Machine Learning, Mathematics, Stat

Machine Learning Engineer | Omics | RNA | DNA | PyTorch | Hybrid, London. Our team is currently composed of 12 members, including ML engineers, data engineers, and bioinformaticians. The ideal applicant will have experience using genomic data in a machine learning context.

Your mission as a AI & ML Engineering Lead is to lead & manage the end-to-end delivery of cutting-edge, production-grade Machine Learning and AI platforms. Deep Domain Expertise: 8+ years of related experience or equivalent, with deep technical expertise in ML and AI production implementation and ML

Contract Machine Learning / Data Scientist (SC Cleared). Machine Learning / Data Scientist. Develop and deploy machine learning models for.

Partner with product and engineering to identify and execute machine learning use cases that deliver measurable impact. Design, build, and iterate on machine learning solutions (e. Bachelor’s degree in Machine Learning, Data Science, Statistics, Mathematics, Computer Science, or a related field (M

The Machine Learning Engineer will join a brand new team, sitting at the intersection of product engineering, AI and platform engineering. This is a fantastic opportunity for an Machine Learning Engineer to join a new team in a high-growth company. Machine Learning Engineer - AI Product Deployment |

We are looking for a Machine Learning Engineer with strong software engineering fundamentals to join our team of domain experts and researchers. Inspired by the latest in recommender systems, we leverage transformers and graph learning alongside decision‑making models to build the most engaging cu

Machine Learning Research Scientist/Research Engineer. Machine Learning, Computer Science, Physics, Applied Mathematics.

Build and deploy machine learning systems that are used in real-world production environments. They work closely with governments and major organisations to solve complex, high-impact problems using machine learning and data science. Currently, they are looking to hire ML Engineers for their Senior

Join us as a Machine Learning Engineer to deliver bespoke, impactful AI solutions for our diverse clients. Defining and implementing Faculty’s standards for deploying machine learning at scale. You understand the full machine learning lifecycle and have experience operationalising models built wit

The Reinforcement Learning Team at the Huawei London Research Centre is seeking a highly skilled and research-driven Machine Learning Engineer to join our team. Master or PhD or currently pursuing a PhD in Computer Science, Machine Learning, Artificial Intelligence, or a related field. This role foc

Lead Machine Learning Engineer. Lead Machine Learning Engineer. MSc or PhD in Computer Science, Machine Learning, or Signal Processing.

As a Machine Learning Engineer at Picnic, you will design and deploy intelligent systems to solve our company’s biggest challenges. At least 3 years of experience in data science or applied machine learning. This role combines the skills of a consultant, software engineer, and applied mathematicia

Machine Learning Solutions Engineer.

A leading AI technology company in Greater London seeks a Lead Machine Learning Engineer to spearhead complex AI projects. You will set the technical direction, manage high-risk environments, and mentor engineers.

We are looking for a Machine Learning Engineer to join our Bristol-based client, to deliver end-to-end solutions on exciting new projects which have come about due to growth. You’ll be designing, building and deploying machine learning models which solve complex business challenges, working closel

We're hiring Machine Learning Engineers for our modelling engineering team. Machine Learning, Maths, Physics) from a top university. Experience with machine learning techniques and related libraries and frameworks e.

Machine Learning Engineer – High‑Growth Tech Scale‑Up (London). Cross‑functional collaboration with data scientists, engineers, and product teams.

About the job Machine Learning Engineer NLP Specialist. Machine Learning Engineer NLP Specialist. Advanced Python skills, with the ability to develop and optimise machine learning pipelines.

Understanding of machine learning techniques such as regularised regression, clustering or tree‑based ensembles (and experience applying them with packages like Pandas, sci‑kit‑learn, SciPy) is highly beneficial. Collaborate cross‑functionally and mentor junior team members to raise engineer

Deep understanding of machine learning and deep learning fundamentals, including various architectures, training techniques, and evaluation metrics. As a Senior Machine Learning Research Engineer in Speech/Audio/Gen-AI, you will:. MSc/PhD degree in Artificial Intelligence, Computer Science/Engineeri

We are looking for an excellent machine learning engineer who understands and has experience in this field and current Generative AI trends. Solid understanding of machine learning principles. Background includes machine learning and AI implementation.

A premier quantitative research firm in Greater London is seeking an exceptional Machine Learning Engineer to join their ML and HPC Architecture team. Key responsibilities include optimising model inference, evaluating ML hardware, and working alongside experts to leverage cutting-edge technologies

Applied Machine Learning Engineer – Hybrid Role. Design & Deploy Models – build practical machine learning solutions to improve efficiency and growth.

As an Senior Machine Learning/Applied AI Engineer, the successful candidate will turn cutting‑edge AI research into real‑world products that make learning and development smarter, more personalised, and more impactful for thousands of users. The Senior Machine Learning/Applied AI Engineer role s

As a Machine Learning Engineer at Picnic, you will design and deploy intelligent systems to solve our company’s biggest challenges. From deep learning models to forecast orders to delivery algorithms to warehouse logistics: we’ve built it all from the ground up. This role combines the skills of

A leading data and analytics consultancy in Greater London is looking for a Machine Learning Engineer to design, train, and productionise ML models on complex datasets. The ideal candidate will have over 3 years of experience in ML engineering and be skilled in Python, SQL, and modern ML frameworks.

As a Senior Machine Learning Engineer at Autodesk Research, you will work side‑by‑side with world‑class researchers and engineers to build new ML‑powered product features that help our customers imagine, design, and make a better world. You are a software engineer who is passionate about sol

Job title: Python Data/Machine Learning Engineer (Fluent in Dutch). If you work in data-driven environments as a Data Engineer, Data Scientist, or Data Analyst, and have an affinity for designing and building Data Pipelines and Machine Learning solutions, then we’re looking for you. Experience wit

We are hiring a Principal Machine Learning Engineer to work on cutting‑edge R&D and translating research into customer‑centric solutions. Fuelled by innovation, inclusivity, and a passion for making a global impact through world‑leading Speech AI, we’re looking for an experienced Principal M

Stay current with academic and industry advances in machine learning, NLP, and deep learning, and guide the team in applying them to real‑world challenges. Proficiency in machine learning, NLP, and deep learning algorithms, with experience using frameworks such as TensorFlow or PyTorch. Master’s

A machine learning mage: You write clean, scalable, high-performance deep learning code. Build insane AI models that understand the physics of manufacturing processes (think futuristic stuff like machines that watch and correct themselves on the fly or even learn how to use brand-new, never-seen-bef

Senior Machine Learning Engineer (Level 2/3). Senior Machine Learning Engineer (Level 2/3). ML Engineering team and lead the development of advanced AI systems that power our platform.

Machine Learning models, with a significant focus on Reinforcement Learning. By combining expert human judgment with advanced machine learning models, we deliver training and evaluation data for hundreds of metrics and components that comprise the Waymo Driver. Oversee the production and optimizatio

Aalyria’s Spacetime team is seeking an experienced machine learning engineer for a hybrid role involving ML research and development. Develop machine learning training infrastructure using Kubernetes clusters, and managing MLOps tooling. Interact with potential and existing customers on a regular

Develop and manage robust, scalable machine learning and software solutions while supporting the creation of shared tools and frameworks and enabling engineers to contribute effectively. Provide technical leadership for complex machine learning initiatives, evaluating strategic trade-offs, establish

We are seeking a Machine Learning Engineer to advance data-processing and model-building and deployment capabilities at Bind. This role includes developing new machine-learning models for highly complex and heterogeneous scientific data such as from nuclear magnetic resonance (NMR), deploying and pr