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AI Engineer | Python, Artificial Intelligence, Machine Learning | UK (remote) A leading Software and AI Development company in London is looking for an AI Engineer with skills in Python development and knowledge of Machine Learning. You will be working alongside their industry leading engineering team on a mixture of greenfield projects and flagship products to help drive the company forwards. They need innovative thinkers who aren’t afraid to voice (and backup) their ideas! With a flat hierarchy, all the development team have a say in the best ways to shape the future of their products to efficiently achieve the company’s goals. This role requires the following skills and experience: • Programming experience using Python in an Agile environment, • Solid knowledge of AI/ML (ideally using Tensorflow, Pytorch or Sklearn), • Master’s degree (or higher) In return, the client can offer: • Salary of up to £85k depending on experience, • Flexible/remote working, • Over time compensation, • Top of the range training, • Sociable team with lots of office perks (if you decide to work onsite) If working for a leading software/AI company is something that interests you, feel free to apply or contact Digital Waffle directly for more details.

AGITProp is an AI-driven quantitative research firm that continues to push the boundaries of advanced modelling — from algorithmic trading to factor modelling and other cutting-edge applications. Quant firms have leveraged AI and ML for years, but the increasing complexity and scale of global markets demand a more comprehensive, integrated approach. At AGITProp, we harness the latest insights from foundation and large language models (LLMs) to build novel solutions across multiple modalities. Now in our second year, we have ambitious growth plans and are searching for the best and brightest minds from across tech and finance to help us achieve our aim. Senior Research Engineer We are seeking a highly talented and experienced Senior Research Engineer with a strong background in deep learning, particularly in the development and application of Large Language Models (LLMs), to join our growing team. This role blends research and engineering expertise, requiring a deep understanding of AI/ML principles, strong programming skills, and the ability to contribute to cutting-edge research while also building and deploying practical solutions. Experience in the financial services industry is highly desirable. The successful candidate will collaborate with team members to advance our AI capabilities. Responsibilities • Design, develop, implement, and train very large AI models, with a focus on LLMs., • Conduct original research in deep learning, particularly in areas relevant to LLMs, exploring novel architectures, training processes, and applications within the financial domain., • Collaborate with portfolio managers, quants, traders, and engineers to understand business needs and translate them into effective AI/ML solutions., • Build and maintain efficient, scalable, and reliable AI infrastructure, tools, and pipelines to support the development and deployment of machine learning models., • Stay current with the latest advancements in AI, machine learning, and data science, particularly in the LLM field, and share knowledge with the team., • Contribute to the creation of AI research pipelines, ensuring high data quality standards, rigorous model validation, and comprehensive performance evaluation., • Mentor and guide junior engineers and researchers, fostering a culture of innovation and collaboration. Qualifications • Master's degree in Computer Science, Artificial Intelligence, Machine Learning, or a related field. A Ph.D. is preferred., • Minimum five years of experience in AI research or engineering, with a demonstrable focus on deep learning and LLMs., • Proven track record of developing and implementing successful AI-driven solutions, ideally within the financial services industry., • Strong understanding of the mathematical foundations of deep learning, including multivariate calculus, linear algebra, and optimization techniques., • Proficient in Python and deep learning frameworks such as TensorFlow and PyTorch. Experience with CUDA kernels and GPU profiling is a plus., • Excellent communication skills, with the ability to present complex technical ideas to both technical and non-technical audiences., • Knowledge of quantitative finance, time series modeling, and trading strategies is highly desirable. Desired Skills • Experience with specific LLM architectures (e.g., Transformers, RNNs)., • Familiarity with time series analysis techniques., • Experience with cloud computing platforms (e.g., AWS, GCP, Azure)., • Strong software engineering skills and experience with version control systems (e.g., Git)., • Ability to work independently and as part of a team. While we understand the company information might be limited, we're happy to be transparent about our goals during the screening and interview process. At AGITProp, we believe AI's strength comes from the diversity of its creators. We're dedicated to building an inclusive and welcoming environment where people of all backgrounds and experiences can flourish. We know that a diverse team brings broader perspectives, more innovative solutions, and ultimately, better outcomes.

Change Software Forever QA slows the world down. Flaky tests kill trust, stall releases, and bleed engineering velocity. Duku AI is ending that era. We’re building autonomous agents that think like engineers: they run every critical user journey, catch failures before users do, and self-heal as the codebase evolves. Real AI teammates, not test scripts that break on impact. We’re venture-backed and led by operators who’ve scaled Meta’s testing infrastructure, launched Uber’s global playbooks, and grew Deliveroo from zero to hypergrowth. We know what elite execution looks like and we’re hunting for one more builder to help us rewrite the rules of software quality. What You’ll Do • Ship fast, learn faster : We deploy daily, not monthly, • Talk to users, shape the roadmap : Sit in the trenches with founders on calls that define what we build, • Train AI agents: Design LLM-powered testers that explore, learn, and adapt in real time, • Own the stack :Python, TypeScript, cloud infra, from commit to production, • Turn prototypes into production : Run real experiments on models, embeddings, and retrieval pipelines What We’re Looking For • Relentless drive: You execute fast, adapt faster, • Startup scar tissue : You’ve shipped product with no safety net, • Fluency with AI/LLMs : LangChain, vector stores, prompt engineering, • Full-stack firepower : Frontend, backend, infra, no silos, • Product obsession : You care more about outcomes than outputs, • Experimental instinct: You build → test → learn → repeat Ideal Background There’s no perfect pedigree. We hire for mindset, not credentials. That said, you might have: • Shipped AI features in prod, • Built something from 0 to 1, • Thrived in chaos with high ownership Why This Matters Software is accelerating. QA hasn’t kept up. Autonomous testing is inevitable, and we’re building it. Five years from now, every high-velocity team will rely on AI agents like ours to ship faster, safer, and smarter. Join now, and help make that future real, before someone else does.

AI Engineer / ML Engineer - CRYPTO - REMOTE We are collaborating with a cryptocurrency analytics firm that assists clients in identifying market opportunities, conducting due diligence, and protecting portfolios. The company is expanding its strategic capabilities in AI & ML. They are seeking a skilled and driven Senior AI/ML Engineer to join their team. In this position, you will design and manage AI models to process extensive blockchain data, identifying patterns and insights that guide decision-making for cryptocurrency investors. As a Senior AI/ML Engineer, your work will be essential in enhancing the platform's functionality, ensuring the delivery of a cutting-edge product to users. Your expertise will be instrumental in influencing the technology's evolution and solidifying the company's status as a leader in blockchain analytics. You will need: • Spearhead the design, implementation, and deployment of AI/ML models to analyze blockchain data, ensuring optimal performance and scalability., • Work alongside product managers and engineers to integrate AI/ML models into the platform, boosting its analytical capabilities and enhancing the user experience., • Stay up-to-date with the latest advancements in AI/ML and blockchain technologies, applying creative solutions to tackle complex challenges., • Mentor junior engineers and foster best practices in AI/ML development within the team.

This isnt your average ML infrastructure role - it sits right at the intersection of cloud engineering and machine learning. Senior ML Infrastructure Engineer. Were working with a well-funded AI start-up in London thats gearing up for huge growth.

Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our u

Senior Machine Learning Engineer (Databricks) We’re working with a leading technology consultancy to find an experienced Senior ML Engineer to join their growing advanced data team. What we’re looking for * 5+ years’ experience in Machine Learning / Data Science, with productio

Collaborate closely with cross-functional teams, including traders, data engineers, and software developers. ML engineering or research role within a financial institution, hedge fund, or tech firm. Senior Quant Machine Learning Engineer sought by leading investment bank based in the city of London.

Senior Azure AI Engineer - Contract London / Hybrid SC Clearance Required Inside IR35 Adeptis Group is recruiting a Senior Azure AI Engineer (Contract) to lead the design, development, and deployment of next-generation Agentic AI solutions built on Microsoft Azure AI Foundry. This is a hands-on engineering role, ideal for someone passionate about building secure, compliant, and scalable AI systems that drive real operational value. You’ll be part of a collaborative team shaping how AI is adopted across a national-level environment. Key Responsibilities • Design, develop, test, and deploy Agentic AI solutions on Microsoft Azure AI Foundry., • Build and optimise AI pipelines, orchestration, and observability frameworks., • Ensure solutions meet security, governance, and compliance standards., • Collaborate with cross-functional teams to align AI projects with business outcomes., • Develop proof-of-concepts and evaluate their business impact., • Create technical documentation and share best practices across teams. Essential Skills & Experience • Proven experience developing AI solutions using Azure AI Foundry and Azure ML Studio., • Strong understanding of data science, machine learning, and agentic AI orchestration., • Experience with Generative AI, NLP, and prompt engineering., • Solid grasp of AI governance, observability, and responsible AI frameworks., • Excellent communication skills and stakeholder collaboration experience. Desirable • Microsoft Certified: Azure AI Engineer Associate. For more information, apply via the link or contact Hubert Colvin on / +44 (0) 2033 013 792 Adeptis Group - Connecting Talent, Securing the Future

Started in 2021, we are building the best business AI video system on the market. Powered by the next-generation video artificial intelligence, we deliver unprecedented insights and 10x better user experience than the incumbents of the vast but stagnant video security industry. Our customers range from warehouses, schools, hospitals, hotels, and many more, and we are growing rapidly. We are looking for someone to join our team to help us scale our systems to meet the user demand and to ship new features. Team you will work with We are serial entrepreneurs and experts in AI and robotics. Our engineering team is composed of industry experts with decades of research and experience from Lyft, Google, Zoox, Toyota, Facebook, Microsoft, Stanford, Oxford, and Cornell. Our go-to-market team consists of experienced leaders from Verkada. We are venture-backed by 8VC + Mosaic, revenue-generating, and have multiple years of runway. Being part of our team means solving interesting problems at the intersection of user experience, machine learning and infrastructure. It also means committing to excellence, learning, and delivering great products to our customers in a high-velocity startup. The role We’re looking for a talented Front-End Engineer to drive the development of our high-performance AI video security platform. In this role, you will own a significant part of the front-end stack, shaping its architecture, setting best practices and building a fantastic user experience. This Involves • Developing high-performance, responsive UIs for seamless user interactions., • Collaborating with a top team of designers and engineers to create an intuitive, industry-leading product., • Building and maintaining a scalable component library for a consistent design system., • Optimizing performance and ensuring maintainability, scalability, and code quality., • This is a 5-days a week in-office role. Requirements And Experience We Are Looking For • Expert in React & TypeScript, with strong CSS and responsive design skills., • Experience with React Query, Storybook, and Material UI (or similar)., • Proven ability to optimize performance and build interactive, user-friendly applications., • Experience leading large-scale front-end projects and setting best practices., • Familiarity with backend/cloud technologies (AWS, Python, databases)., • Self-driven with a high level of intrinsic motivation to succeed and adapt to evolving requirements; able to work flexible hours to meet deadlines as necessary., • Excellent verbal and written communication skills to effectively collaborate with cross-functional teams and document technical processes clearly What We Offer • £80-120k base, • Company equity % in an early-stage startup, • 100% company-paid private Dental & Vision insurance

Job Title: Embedded Firmware Engineer Location: West London (Full-time, Permanent) Salary: £50,000–£60,000 + hybrid working and benefits About the Company: A leading technology innovator is seeking an Embedded Firmware Engineer to join their growing team. Specializing in advanced electronic systems, this company develops cutting-edge solutions for real-world applications across multiple sectors. Their collaborative environment supports innovation, technical excellence, and continuous learning. Role Overview: You’ll be responsible for developing embedded firmware for advanced electronic systems, working closely with hardware teams to integrate and optimize performance. The role involves driver development for MCUs and peripherals (I2C, SPI, UART), Bluetooth integration, and secure boot implementation. You'll also contribute to cloud communication interfaces and mobile modem connectivity (LTE1 bis, LTE-M, NB-IoT). Hybrid working available. Key Requirements: • Mid-level experience in embedded firmware development, • Proficient in IDEs (e.g., Eclipse), compilers, debugging, GIT, • Strong understanding of electronics and embedded digital circuits, • Experience with MCU peripheral drivers and communication protocols, • Familiarity with Bluetooth, RTOS, and secure firmware features Ideal Candidate: • Methodical, detail-oriented, and collaborative, • Keen interest in emerging technologies like Machine Learning, • Able to thrive in a fast-paced, hybrid environment

Job title: Data Engineer Client: Award Winning FinTech Firm Rate: Up to £725 p/d Duration: 6-Month Rolling Contract | Long-Term Engagement Location: London Skills: Python / Azure / Databricks / Snowflake The Role: • Design and build powerful data pipelines that fuel real-time decisions, machine learning, and next-gen analytics at scale., • Transform raw data into trusted, usable assets - the foundation for everything from executive dashboards to product innovation., • Own the data flow from ingestion to insight - using modern tools like Python, Azure, and Databricks. What you need: • 7+ years of hands-on experience in data engineering roles., • Advanced skills in Python for data pipelines, transformation, and orchestration., • Deep understanding of the Azure ecosystem (e.g., Data Factory, Blob Storage, Synapse, etc.), • Proficiency in Databricks (or strong equivalent experience with Apache Spark)., • Proven ability to work within enterprise-level environments with a focus on clean, scalable, and secure data solutions. If you are the right fit - contact me directly at

Senior Data Engineer (Kafka Python AWS) London / WFH to £80k Are you a data technologist with fluent Python coding skills who enjoys working with and continually learning new technologies? You could be progressing your career in a senior, hands-on role at a "Tech for Good" company that is enabling life changing education to be accessed by millions of students across the globe (currently 22 countries and growing). As a Data Engineer you'll help to design, build and operate the data pipelines and data services that power learning experiences. Collaborating with software engineers, data scientists and product managers, you will grow your expertise while contributing to systems that need to process 25-35,000 messages per second to support the learning experiences as well as reporting and analytics requirements across the business as it scales to 10's of millions of students. Typically you'll be developing and maintaining reliable data pipelines for both real-time streaming and batch workloads, assisting with the evolution of the Lakehouse, collaborating with analytics, product and machine learning teams to make data accessible, trust worthy and reusable. You'll be encouraged to contribute ideas and investigate new and emerging technologies. Location / WFH: You'll join the team in London four days a week with flexibility to work from home once a week. About you: • You have experience as a Data Engineer, working on scalable systems, • You have Python, Java or Scala coding skills, • You have experience with Kafka for data streaming including Kafka Streams and KTables, • You have strong SQL skills (e.g. PostgreSQL, MySQL), • You have strong AWS knowledge, ideally including S3 and Lambda, • You have a good understanding of data modelling and batch / streaming ETL / ELT patterns, • You're collaborative and pragmatic with great communication skills What's in it for you: As a Senior Data Engineer you will receive a competitive package: • Salary to £80k, • 25 days holiday, • Private medical insurance, • Training and certifications, • Perks such as restaurant and retail discounts Apply now to find out more about this Senior Data Engineer opportunity. At Client Server we believe in a diverse workplace that allows people to play to their strengths and continually learn. We're an equal opportunities employer whose people come from all walks of life and will never discriminate based on race, colour, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. The clients we work with share our values.

An opportunity for an elite Machine Learning Engineer to join a very small, top-flight AI team (2-6 people within a larger international group) with arguably the leading macro hedge fund. Build scalable machine learning pipelines for predominantly time-series forecasting.

Machine Learning Engineer (LLM / AI Systems).London / Hybrid | 0–3 Years Experience | Competitive Salary.Are you obsessed with AI and large language models?.We’re an early-stage startup building real-world products powered by LLMs — from intelligent copilots to adaptive automation tools — an

Design, develop, and implement generative AI and machine learning solutions for commercial real estate. Proven ability to design, test, and deploy production-ready machine learning soluti. Known for combining deep market expertise with innovative technology, the business is committed to modernising

Senior Machine Learning Engineer.

Solid knowledge of SQLandPython's ecosystem for data analysis (Jupyter, Pandas, Scikit Learn, Matplotlib).

About Envision: Envision Energy is a world-leading green technology company that provides renewable energy solutions for global enterprises, governments, and institutions. Encompassing three major business sectors - Smart Wind Turbines, Energy Storage, and Green Hydrogen Solutions, Envision Energy collaboratively constructs comprehensive solutions for energy transformation. Envision Energy has received several accolades for its sustainability performance, including the EcoVadis Gold Medal and the CDP “A-List”. It was also recognized in Fortune's “Change the World” list and ranked among the top 10 smartest companies by the MIT Technology Review. Today, Envision Energy leverages its global network of R&D and engineering centers across China, the United States, UK, France, Germany, Denmark, etc. to continuously lead global green technology development. Envision Energy joined the Science Based Targets initiative (SBTi) and committed to achieving the "Business Ambition for 1.5°C" in 2021. It has achieved carbon neutrality across its global operations by 2022 and will achieve carbon neutrality throughout its value chain by 2028. About the role: We are seeking a highly technical and dynamic AI Sales Specialist/Engineer to be the crucial bridge between our advanced technology and our customers' strategic goals. You will be more than just a salesperson; you will be a trusted advisor, a technical expert, and a solution architect. Your mission is to deeply understand client pain points, design and demonstrate compelling AI-powered solutions, and prove tangible business value, ultimately driving the adoption of our platform. Key responsibilities: Technical Solutioning & Discovery (40%) • Conduct deep-dive discovery sessions with Executives, IT leaders, and business unit heads to understand their unique challenges, data landscape, and strategic objectives., • Architect and propose tailored AI solutions that clearly map our technology to the client's specific use cases and desired business outcomes (e.g., increased revenue, reduced costs, improved customer experience)., • Partner closely with the Account Executive to develop and execute a winning strategy for complex enterprise deals., • Own the technical sales cycle, including responding to RFPs/RFIs, addressing security and technical questionnaires, and mitigating competitive threats., • Articulate complex AI concepts (e.g., model training, data pipelines, MLOps, LLM fine-tuning) in a clear, accessible, and business-relevant manner to both technical and non-technical audiences., • Serve as the voice of the customer, providing critical feedback to our Product and Engineering teams to inform the product roadmap., • Maintain a deep, hands-on understanding of our AI platform, its APIs, and its underlying architecture., • Stay abreast of the competitive landscape and emerging trends in the AI/ML market. Qualification and expertise: • Bachelor's degree in Computer Science, Engineering, Data Science, or a related technical field. Advanced degree is a plus., • 3+ years of experience in a Sales/Solutions Engineer, Customer-Facing Data Scientist, or Technical Product Manager role, preferably in a B2B SaaS or AI/ML company., • Hands-on experience with AI/ML concepts, data science workflows, and cloud platforms (AWS, Azure, GCP)., • Proven ability to design and deliver compelling POCs and technical demonstrations., • Excellent presentation, whiteboarding, and written communication skills., • Ability to travel up to 30% for client meetings and industry events., • A Hybrid Thinker: You are fluent in both the language of business (ROI, TCO, KPIs) and the language of technology (APIs, models, data infrastructure)., • A Problem-Solver: You are naturally curious and excel at diagnosing complex business problems before jumping to a solution., • An Influencer: You have the presence and communication skills to build credibility with senior executives and the patience to guide technical practitioners., • A Hands-On Builder: You are comfortable in a demo environment, writing simple scripts, and building custom scenarios to prove a point. Highly Desired: • Direct experience with our specific AI domain (e.g., experience with LangChain for an LLM company, or TensorFlow/PyTorch for a computer vision company)., • Understanding of MLOps principles and the end-to-end machine learning lifecycle., • Programming/scripting experience (e.g., Python, SQL) to manipulate data and interact with APIs for demos., • A portfolio of past POCs, demo videos, or technical blog posts is a significant advantage.

Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provid

If youd like to make a difference by maintaining cutting-edge, scalable machine learning infrastructure that brings the right people to the right jobs, then wed love to hear from you!. Working in theSearch & Match domain, you willbe focusing on deploying and scaling machine learning models, particul

As a Machine Learning Engineer you'll be at the forefront of designing, building, and deploying production-grade software, infrastructure, and MLOps systems. Building scalable software and infrastructure that leverages machine learning.

We have 1 position open in the broad areas of Machine Learning and Computer Vision with a focus on Vision and Language. Skills and QualificationsKey Skills Required:Research experience in the fields of Computer Vision and/

Senior AI/ML EngineerUK Based (Remote) - Up to £130,000Join a leading blockchain analytics platform that combines on-chain data with millions of wallet labels to help investors, instit

Location: London (hybrid working 3 office days per week) Employment Type: Permanent, full time Additional Benefits: Annual Bonus Join Our Data & Analytics Team: Transforming Data into Our Superpower! Are you passionate about data and eager to make a significant impact? The AA is a well-loved brand with a range of driver services much wider than most people realise. We have an enviable set of data assets from breakdown, service, repair, insurance, telematics, digital interactions, car dealers and driving school! If that’s not enough, we’re focused on making Data our new Superpower as one of only 4 strategic priorities for the Group. Our growing team is modernising our data infrastructure to a cutting-edge cloud platform and enabling machine learning and GenAI. Join us at an exciting time and be part of a team that is driving meaningful change for our customers, colleagues and shareholders. #LI-Hybrid This is the job At AA, our purpose is to create confidence for drivers now and for the future. Our data team is pivotal in achieving this by harnessing the power of our extensive motoring and insurance data. We are currently seeking a talented Data Engineer to join our team and help us unlock the full potential of our data. As a Data Engineer, you’ll be crucial in developing and maintaining our data pipelines and data lake house architecture. You’ll be central to the success of our data team's efforts to maximise our data capabilities. This is an exciting time for our data engineering team, and you’ll have the opportunity to define our data engineering approach and best practices, implementing a modern data ecosystem that supports our mission. What will I be doing? • Writing high-quality, readable and maintainable code., • Designing, building and maintaining resilient data pipelines, • Identifying and automating manual or repetitive data processes., • Establishing the data lake house as a single source of insight for the business., • Developing analytical datasets to support insights into customer behaviour, operational efficiency and key performance metrics., • Triaging and resolving data-related incidents, supporting users with timely responses and root cause analysis., • Following agreed architectural standards and contributing to their continuous improvement. What do I need?, • Proficiency in Azure and its data related services., • Strong SQL and PySpark skills, with a focus on writing efficient, readable, modular code., • Experience of development on modern cloud data platforms (e.g. Databricks, Snowflake, RedShift)., • Familiarity of Data Lakehouse principles, standards and best practices., • Understanding of event-driven architecture and data streaming technologies., • Familiarity with Agile delivery methodologies, Azure DevOps and CI/CD pipelines., • Strong collaboration skills with the ability to communicate clearly across different teams., • 25 days annual leave plus bank holidays + holiday buying scheme, • Worksave pension scheme with up to 7% employer contribution, • Free AA breakdown membership from Day 1 plus 50% discount for family and friends, • Discounts on AA products including car and home insurance, • Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more, • Company funded life assurance, • Diverse learning and development opportunities to support you to progress in your career We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change. #LI-HH

Location: London (hybrid working 3 office days per week) Employment Type: Permanent, full time Additional Benefits: Annual Bonus Join Our Data & Analytics Team: Transforming Data into Our Superpower! Are you passionate about data and eager to make a significant impact? The AA is a well-loved brand with a range of driver services much wider than most people realise. We have an enviable set of data assets from breakdown, service, repair, insurance, telematics, digital interactions, car dealers, and driving school! If that’s not enough, we’re focused on making Data our new Superpower as one of only 4 strategic priorities for the Group. Our growing team is modernising our data infrastructure to a cutting-edge cloud platform and enabling machine learning and GenAI. Join us at an exciting time and be part of a team that is driving meaningful change for our customers, colleagues, and shareholders. #LI-Hybrid This is the job Analytics Engineer (Problem-Solver in Data) We are looking for a data analyst who is passionate about turning data into practical solutions that drive real business impact. This role goes beyond building pipelines — it’s about understanding business needs, translating them into analytical questions, and delivering insights that shape decisions. You’ll work closely with product teams, stakeholders, and other analysts to design processes that make data more usable, reliable, and insightful. You’ll also contribute to machine learning initiatives and help shape how data is used across the organisation. We encourage applications from people of all backgrounds, whether you think of yourself as an analyst, engineer, data practitioner, applied scientist, or technical problem-solver, even if you don’t tick every box, we would love to hear from you. What will I be doing? • Partnering with stakeholders to refine requirements and find practical solutions, not just technical ones., • Clear communication skills, you can explain data concepts to both technical and non-technical audiences., • A problem-solving mindset: you care more about delivering value and insights with openness to learn and grow in a supportive team environment, than sticking to one rigid way of working., • Designing, building, and maintaining automated data pipelines using Python and SQL across platforms like Databricks, Google BigQuery, and Airflow., • Creating reliable ways to bring in data from APIs and external sources, with a focus on scalability and security., • Designing data models and structures that balance performance, usability, and clarity., • Collaborating with analysts and BI developers to deliver insight-ready data that powers dashboards, analytics, and business decisions., • Proactively monitoring data quality, resolving issues, and contributing to governance through documentation, testing, and continuous improvement. What do I need?, • Strong skills in Python and advanced SQL for working with complex datasets., • Experience with cloud-based data platforms (e.g., BigQuery, Databricks, Airflow) and a willingness to learn new tools., • Familiarity with ingesting data via APIs and transforming large datasets efficiently and securely., • Understanding of data modelling and performance optimisation, with an eye for usability., • Clear communication skills, you can explain data concepts to both technical and non-technical audiences., • 25 days annual leave plus bank holidays + holiday buying scheme, • Worksave pension scheme with up to 7% employer contribution, • Free AA breakdown membership from Day 1 plus 50% discount for family and friends, • Discounts on AA products including car and home insurance, • Employee discount scheme that gives you access to a car salary sacrifice scheme plus great discounts on healthcare, shopping, holidays and more, • Company funded life assurance, • Diverse learning and development opportunities to support you to progress in your career We’re an equal opportunities employer and welcome applications from everyone. The AA values diversity and the difference this brings to our culture and our customers. We actively seek people from diverse backgrounds to join us and become part of an inclusive company where you can be yourself, be empowered to be your best and feel like you truly belong. We have five communities to bring together people with shared characteristics and backgrounds and drive positive change. #LI-HH

As a Machine Learning Engineer, you will play a key role in designing, developing, and implementing machine learning models and algorithms tailored to address specific national security requirements. This position requires expertise in machine learning, data analysis, and a commitment to pushing the

Machine Learning Engineer - Outside IR35, up to £550 per day.

This role is ideal for an engineer who wants to take machine learning beyond theory and into live operational systems that solve critical national challenges. Machine Learning Engineer - Defence & National Security. Designing, building, and deploying software, infrastructure, and MLOps systems that

Machine Learning Scientists and Engineers: AI for Quantum. Senior Data Scientist / Machine Learning Engineer. They are looking for an experienced Data Scientist or ML Engineer to support a live project, applying classical machine learning to solve tangible, high-value problems.

Senior Machine Learning Engineer £90000 - 100000 GBP Onsite WORKING Location:. Machine Learning Engineer - 6-Month FTC. This is a role for someone who wants to move beyond experimentation and bring machine learning into live production systems where it makes a measurable difference to public servic

As a Senior Machine Learning Engineer at On, you'll play a critical role in the full lifecycle of our machine learning models. You have a proven track record of successfully deploying and managing machine learning models in production environments. You are skilled in building and maintaining monitor

Enthusiasm about using machine learning for science and engineering. Building machine learning models and pipelines in Python, using common libraries and frameworks (e. Personal development – access learning and training to help you grow.

Applied Machine Learning Engineer. What will you be doing as an Applied Machine Learning Engineer?. We’re looking for someone who is curious, hands-on and eager to shape the future of Machine Learning at Picnic.

Machine Learning Engineer - GenAI. Passion for applying GenAI and machine learning across diverse domains and through the full project lifecycle. The GenAI Centre of Expertise (GenAI CoE) at Experian works to improve products and processes through GenAI and automation, collaborating with ML engineer

We’re building an AI Tutor — a personalized learning system that leverages machine learning to adapt educational content and learning paths for each student. You’ll join a cross-functional team of experienced backend and frontend engineers, AI developers, and UX/UI specialists to create a trul

Senior Quant Machine Learning Engineer sought by leading investment bank based in the city of London. ML engineering or research role within a financial institution, hedge fund, or tech firm. Advanced degree (PhD or Master’s) in Computer Science, Mathematics, Physics, Engineering, or related disci

We are looking for an experienced Machine Learning Engineer who can help us advance our automatic speech recognition (ASR) engines for Flow, our new Conversational AI companion, and create interactive voice interfaces of the future that "Understand Every Voice". Ambitious engineers keen to work on b

From marketing automation to CRM, HubSpot offers a comprehensive solution that empowers businesses to succeed in the digital age. As a Staff Machine Learning Engineer on the Signals team at HubSpot, youll do many things — and you likely already have experience doing some of them in the past. If

Developed contextual intent classifiers to understand what conversations users are having with Cleo, enabling control of how Cleo should respond. You can view our public progression framework and salary bandings here: . Building ML models to understand the actions that users have avai

Senior Machine Learning Engineer. We are currently seeking an innovative Senior AI / Machine Learning Engineer to join UnderwriteMe within the AI-Engine team. Crafting and refining Machine Learning models and algorithms to address complex product challenges.

As a Machine Learning Engineer, you’ll work at the heart of this transformation—building the infrastructure and tooling that enables our data scientists to move from prototype to production quickly, safely, and at scale. Develop and maintain machine learning pipelines for training, validation, a

We’re looking for Machine Learning Engineers to join the Generative ML Platform team at Snap Inc!. A proven passion for machine learning; you stay up-to-date with research and are excited about prototyping new ideas quickly. Engineering experience in one or more of the following: neural rendering,

From data preprocessing to model evaluation, you’ll gain hands-on experience across the machine learning lifecycle — while contributing to a product used by real-world clients. If you’re excited to grow your skills in machine learning and work on technology that helps people understand complex

Strong expertise in Machine Learning and Deep Learning, with exposure to Reinforcement Learning as a plus. You will develop, optimize, and deploy cutting-edge machine learning and reinforcement learning models focused on automating complex PCB design problems, working closely with researchers and en

Passion for applying GenAI and machine learning across diverse domains and throughout the full project lifecycle. Familiarity with various machine learning frameworks and toolkits (e. LLMs, GBMs, deep learning) and typical software architectures.

Work closely with research scientists and engineers, contributing to team discussions, sharing knowledge, and actively participating in code reviews to foster a collaborative environment. Sign in to set job alerts for “Research Engineer” roles. Research Engineering (Machine Learning), London or

Senior Machine Learning Engineer. Are you ready to shape the future of InsurTech with cutting-edge machine learning and AI? At Simply Business, we're not just using data; we're continuously evolving our platform with technologies like AWS, Snowflake, and Kafka to drive real value and inform company