Machine learning engineer jobs in ChesterCrear alertas

ML Engineer Location: Chester (Hybrid - 2x week in office) Salary: £70,000 - £80,000 About the Role I'm working with an established company who are looking to bring an ML Engineer into their team. You will report into the Head of Platform Engineering and work closely with data scientists, analysts, engineers, and design managers in a fast-paced, high-impact environment. What You’ll Be Doing • Operationalising machine learning models and ensuring they are production-ready, • Supporting AI/ML initiatives focused on revenue management, including pricing and elasticity models, • Contributing to churn and revenue prediction use cases, • Working on conversational AI, including an in-house AI agent designed to support customers throughout their stay, • Collaborating closely with engineers, designers, and product stakeholders, • Helping establish best practices for CI/CD, model deployment, and ML operations across the organisation, • Cloud-first environment with Microsoft Azure Fabric, • Python, PyTorch, • SQL, • Apache Spark, • Azure Data Factory (ADF), • 3–4 years’ experience in AI/ML engineering, data engineering, or applied data science, • Strong Python skills with experience deploying ML models to production, • Solid software engineering fundamentals (clean code, version control, testing mindset), • Experience working with customer or marketing data, • Exposure to ML Ops practices (full CI/CD expertise not required), • Experience handling customer or personal data is a plus (e.g. chatbot or conversational AI projects), • Strong communication skills and ability to work cross-functionally, • Master’s degree in Computer Science, Data Science, or a related field preferred

Senior / Staff Machine Learning Engineer - Gaming. Deep understanding of machine learning, data analysis, and statistical modelling. This role sits within a research-focused engineering team developing.

Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs). Machine Learning Senior Staff Engineer. Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals.

Machine Learning Engineer | Early Stage Deep Tech Start Up | London. Founding Machine Learning Engineer. Design and build machine learning models for document understanding, knowledge graphs, and data extraction.

Our signature approach combines groundbreaking machine-learning research with disciplined cloud and data-engineering practices to create breakthrough impact at unprecedented speed. We are seeking a Sr Machine Learning Engineer to join our growing team. In this role, you will design, develop, evaluat

Senior Machine Learning Engineer. You’ll operate at the intersection of engineering, data science, and business delivery — helping organisations turn machine learning into reliable, scalable, and commercially valuable systems. Excellent understanding of statistical modelling, machine learning th

Develop and improve machine learning pipelines for robotic inspection tasks, including: segmentation; detection; classification; object tracking. Keen interest in robotics, real-time perception, and the latest machine learning and computer vision research, with an emphasis on practical deployment ou

• Job Title: Electrical Controls Engineer - Automation, Maintenance Support, • Location: Warrington area, • Department: Controls and Automation, • Pay Range: £59,000 plus a comprehensive package, Bonus and Pension, • Contract Type: Permanent, • Client: Category market leader in Manufacturing, multi-billion-dollar turnover and award-winning, • Significant multi-million CAPEX and related automation investment Due to significant investment and automation activities on a large, world-class manufacturing site, we are launching a recruitment drive for PLC-biased Electrical Controls Engineers—first line automation support. Newly created roles! Reporting to the Controls & Automation Manager, you will be responsible for the automation, controls and electrical systems of the production plant. Including Robotics and materials handling. Key Responsibilities - Electrical Controls Engineer - Automation maintenance Support Programmable safety systems PLCs Servo drives SCADA system Operator interface (HMI) screens • Train and provide advice to Engineers and Operators as required, • PLC alterations & improvements, • Develop knowledge and application of automation skills, • Develop and implement projects to drive improvement in manufacturing availability, • New installations, including the programming of software, • Ensuring machines and equipment are safe, working efficiently and fit for purpose, • You’ll collaborate across teams and contribute to key improvement projects while gaining experience with a variety of control systems., • Diagnose and troubleshoot complex machine faults to reduce downtime, • Develop automation skills and techniques through OEM training, • Coach and mentor Maintenance Engineers on control systems, • Proactive in detecting, reporting, diagnosing and predicting potential or existing software and electronic issues on all equipment, • You’ll be involved in fault-finding, diagnostics, and implementing permanent solutions to ensure safety, quality, and efficiency Requirements & Qualifications – Electrical Controls Engineer Automation maintenance Support • An electrical engineering qualification (HNC/HND Level), • A working knowledge of PLC systems and HMI software, • Experience maintaining electrical/control systems on complex processes and/or high-speed production equipment, • Experience troubleshooting, testing, and repairing instrumentation devices, • Experience in PLC touchscreen controls and electrical maintenance, • PLC programming skills, • Time served Electrical Engineer, • Automation / Controls apprentice with several years post post-qualification work experience within a manufacturing environment, • HNC in Electrical Engineering or equivalent, • Ability to fault-find and implement program modifications on a range of PLCs & SCADA, • Knowledge of servo drives and inverters, • Experienced in high-level fault-finding and diagnostics across a range of control equipment, • Experience of fault-finding on industrial communication networks, • Experience of designing & modifying control circuits and program logic What we can offer – Electrical Controls Engineer • Best-in-class learning and development support from day one, • An industry-competitive salary and benefits package, including company bonus., • 25 days holiday + bank holidays with the option to buy additional, plus 7 days off every 4 weeks on a working pattern, lots of time off!, • Share save scheme and exceptional reward For more information on this role, please contact Mike Butler on 01132123519 or send a copy of your CV to Candidates who are currently a PLC Engineer, PLC programmer, Electrical Engineer, Controls Technician, Controls Automation Engineer, may be suitable for this position.

Machine Learning Engineer Location - Remote (UK) Salary - £80,000 I am partnering with a product-led MarTech company building an AI-driven platform that helps teams make better decisions about digital content and performance. The platform applies machine learning to real-world data to analyse and improve how content performs at scale, moving decision-making away from guesswork and towards measurable insight. AI is a core part of the product and is already embedded in live, customer-facing workflows, running on a cloud-native stack with strong use of Google Cloud Platform (GCP). What You’ll Be Doing • Lead the development and deployment of machine learning models used in a live SaaS product, • Own models end-to-end from experimentation through production deployment, monitoring, and iteration, • Work closely with product, engineering, and non-technical stakeholders to embed AI into real workflows, • Improve the scalability, reliability, and performance of existing ML systems, • Review code and architecture, setting a high engineering standard, • Analyse data and run ad-hoc studies to generate actionable insights into marketing effectiveness What They’re Looking For • Strong experience as a Machine Learning Engineer / AI Engineer in a product-led environment, • Advanced Python skills and hands-on experience with PyTorch, TensorFlow, or similar ML libraries, • Experience deploying and maintaining ML models in production, • Solid software engineering fundamentals (algorithms, data structures, clean code), • Comfortable working with Docker and containerised systems, • Experience collaborating cross-functionally and owning delivery, not just models, • A mindset focused on impact, curiosity, and continuous improvement

Team: Backend Location: UK Remote Employment Type: Full-time and Permanent Remuneration (UK – Remote): £81–108k 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 Google, Meta, Bloomberg, Microsoft and Amazon. We are backed by prominent investors from the US and the UK, including institutional VC funds and C-level executives of global technology companies. The role involves the design and development of backend services and 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 that directly power our core products., • Lead projects from inception to launch and beyond, having a high degree of autonomy and ownership over your work., • Work closely with the founding team and contribute towards best practices, standards, and culture of the company., • Mentor colleagues and lead by example, raising the bar for the whole company., • Help hire future colleagues and shape the team you want to work with. Our tech stack: • We use and leverage AWS as much as possible and manage it with Terraform., • Services are written in C# (.NET 9) and deployed to ECS or Lambda via GitHub Actions., • We use Postgres, SNS/SQS and Redis., • We have good end-to-end test coverage and are confident in our deployments. What we are looking for: • Back-end development: 5+ years of industry experience building reliable and scalable back-end systems with an object-oriented language., • Cloud-native technologies: Experience in architecting and deploying in cloud platforms (e.g., AWS, GCP or Azure), an understanding of containerisation (e.g., Docker), infrastructure-as-code software (e.g., Terraform), and observability platforms (e.g., Datadog or Grafana)., • Strong ownership mindset: You naturally take responsibility for outcomes, not just tasks, and care deeply about the quality of what you ship., • Product-oriented thinking: You think beyond implementation details, proactively suggesting improvements that balance customer value with business impact., • Leadership: A track record of leading complex projects and influencing technical direction., • Problem solving: Strong analytical problem-solving skills and attention to detail. You have the ability to break down complex projects into actionable tasks., • Collaboration and communication: Excellent interpersonal and communication skills, with technical and non-technical stakeholders. We would like to acknowledge that almost no candidate checks every box – and that is perfectly fine. If you are passionate about solving complex challenges and open to learning new technologies, we would love to hear from you. How we work: • We are a small, early-stage team with big ambitions. We move quickly, care deeply about what we build, and take pride in doing things well., • This is a high-ownership environment where people who are proactive, curious, and motivated by impact tend to thrive. Nice to have: • Machine Learning: Experience in generative models, LLMs, multi-modal models and Deep Learning more generally., • Open-source: Contributions to and experience in open-source projects., • Startup experience: Experience in an early-stage startup environment. Why join us? • Work in an environment conducting cutting-edge research in AI., • Competitive salary, equity and benefits package., • 28 days + public holidays allowance., • Opportunities for professional growth and progression with your career., • Work on challenging engineering problems that have a real impact on the industry., • Work with high-profile customers and technology partners.

Head of Sales – Chemical Process Development £100k+ base salary + OTE + Bens The chemical industry underpins everything from life-saving medicines to everyday materials, yet large-scale process development is still slow, costly and heavily reliant on trial and error. Our client is changing things - they’re building an AI-powered platform to radically improve how chemical processes are developed and scaled. Commercial momentum is building fast and they’re now looking for their first Head of Sales. In this consultative sales position, you will build technically led, long-term partnerships with global pharma, agrochemical and specialty chemical organisations. Initially, your key responsibilities will include: • Building and executing account-based sales strategy with tier-1 chemical and pharma organisations, • Work closely with the CEO and Product team to understand the product, shape customer discovery and define pricing, • Shorten enterprise sales cycles and build sustained momentum across target sectors, • Establish a repeatable, measurable sales pipeline, • Hire and mentor the first commercial team member The company are seeking a technically fluent business developer who can translate scientific innovation into scalable business growth. You will bring: • Strong background in chemical/process engineering – confident discussing challenges and solutions in this space, • 5+ years commercial (Sales, Business development or Account Management) experience, • A track record in complex, multi-stakeholder deals Based in London, the role will require on-site working for the first three months to build a deep understanding of the product. After this period, a hybrid or remote working arrangement is available. In return the company are offering a senior, high-impact role with equity where you will work closely with world-class scientists and founders to shape how a new category of technology is commercialised. Key words: VRS9347DJ, Sales, Business Development, commercial, Ai, software, machine learning, digital chemistry, or automation, chemical engineering, process engineering. chemistry, engineer, London, south east, hybrid. If you’ve ever looked at industrial chemistry and thought “there must be a better way” then we want to hear from you - contact David at VRS

Job Title: AI/ML Research Engineer (London, UK) Location: Must be based London, UK Employment Type: Permanent Work Model: Hybrid (London) Introduction: Our client (international) is a collection of engineers and designers who want the world to connect beautifully. Their team first came together to build one of the world's first Massive MIMO 5G networks from the first base station to the first 5G customer. Today, they design and engineer a range of 5G smart routers connecting homes and businesses around the world, with their devices currently serving over a million customers globally. They have a deep understanding of mobile networks and the challenges customers face every day and they're putting this knowledge to work, engineering and designing better ways to connect. They are establishing a new AI/ML engineering team in London to extend these capabilities. This is a foundational role, you will be among the first hires, helping to shape the technical direction, culture, and practices of a function at the forefront of wireless technology innovation. We are seeking individuals with a deep, first-principles understanding of machine learning, not simply experience integrating APIs or applying pre-built models, but genuine expertise in how and why these systems work. The ideal candidate will bring experience from research or academic environments and can apply that rigour to delivering production-ready solutions. Role Overview: This is an opportunity to help build something from the ground up. As part of a newly formed AI/ML team, you will play a central role in establishing how our client approaches machine learning, from research methodology to engineering practices to team culture. This is not a role where you will inherit existing systems; you will be creating them. The role requires expertise that spans both research and engineering. The ideal candidate will have invested significant time developing a thorough understanding of machine learning fundamentals, whether through academic study, industry research, or rigorous self-directed learning, and will have demonstrated experience applying that knowledge to build production systems. We are looking for practitioners who understand the mechanics beneath the abstractions, not those whose experience is limited to high-level tooling and prepackaged solutions. The role encompasses the full spectrum of ML development: researching and prototyping novel approaches where existing methods are insufficient, and engineering robust solutions that operate reliably at scale. You will work with telecommunications data including time series, network telemetry, and sensor data to address complex operational challenges in wireless technology. What You'll Do: • Develop ML models for telecoms and hardware applications: anomaly detection, predictive maintenance, demand forecasting, network optimisation, signal processing, • Research novel approaches when existing methods fall short, read papers, run experiments, iterate, • Implement algorithms from scratch when needed; understand what's happening under the hood, • Take models from research prototype through to production deployment, • Work with large-scale time series, sensor data, and network telemetry, • Collaborate with hardware and network engineers to understand problems deeply, • Design rigorous experiments and evaluation frameworks, • Contribute to technical direction and help shape how we build ML here What We're Looking For: First-Principles Understanding Candidates must demonstrate substantive depth in ML fundamentals, including the ability to: • Explain the mechanics and rationale behind core algorithms, gradient descent, backpropagation,, • attention mechanisms, regularisation techniques, • Understand the mathematical foundations underpinning these concepts, including linear algebra, calculus, and probability theory, • Reason about model behaviour from first principles during analysis and debugging, • Read research papers and implement key concepts independently, • Evaluate when different approaches are appropriate and articulate associated tradeoffs The path to this understanding is less important than the understanding itself. Formal academic training, industry research experience, and rigorous self-directed study are all valid routes.

Reports to: Technology Director / Executive Sponsor Location: Remote with occasional travel to London (2 times a month) Contract: Full-time, permanent Base Salary: £70,000 – £80,000 location and experience dependent + 10% company bonus scheme and sales commission scheme Why This Role Exists Serve Legal is entering a new chapter: evolving beyond compliance auditing into AI enabled, data-driven products, platforms, and services that shape the future of compliance and consumer intelligence. To make this happen, we’re launching an Innovation Labs function—an agile environment to rapidly design, build, and test new client-facing digital products and AI Agents. The Senior Product Engineer will be at the heart of this, working alongside the Technology Director and the Innovation Labs' Data Scientist. You’ll own the end-to-end engineering and leverage AI tooling to develop prototypes, MVPs, and productised tools and AI Agents—bringing Serve Legal’s data and insights to life for clients. You already have solid engineering foundations and work with AI enabled IDEs (Cursor, Windsurf, etc), but you are keen to use AI powered platforms to develop applications (e.g. Lovable, Replit, Bolt). This is a startup-style role inside an established SME, with freedom to experiment, fail fast, and iterate—balanced with accountability to deliver deployable, client-ready digital products. What You’ll Do • Design & Build Prototypes: Leverage AI tools to engineer digital prototypes and MVPs that translate Serve Legal’s datasets into usable, scalable products. Develop APIs, dashboards, and interactive client tools and agents for compliance and consumer insight., • Run Innovation Labs Engineering: Partner with the Data Scientist to test, refine, and productionise algorithms and models. Apply lean/agile principles to develop proof-of-concepts quickly and effectively., • Incorporate AI-enabled platforms, low-code/no-code accelerators into the team´s workflow., • Product Engineering & Deployment: Build robust, cloud-native environments that allow rapid experimentation and easy scale-up. Ensure seamless transition of prototypes into production in collaboration with Serve Legal’s data team., • Champion Product Innovation: Translate business and client needs into clear product engineering solutions. Act as a bridge between technical prototypes and client-facing experiences. Core Skills & Mindset • Inventor + Builder – enjoys building tangible products that bring AI, data and algorithms to life., • AI supportive - believes that the right AI tooling can help inform and expedite delivering value., • Full-Stack Thinker – comfortable across front-end, back-end, API and AI development., • Agile Operator – thrives in MVP cycles, rapid prototyping, and iterative delivery., • Commercial Awareness – understands client-facing product needs, UX, and scalability., • Collaborative Spirit – works fluidly with data scientists, commercial teams, and ops leaders. Hard Skills Required • Software Engineering: Strong in at least one modern language (JavaScript/TypeScript, Java, Python), • Web & Product Development: Frameworks (React, Node.js, Django/Flask), • AI, GenAI and LLMs: OpenAI, Gemini, Grok, Llama, • Agentic AI: Frameworks (langchain, langgraph, Google ADK), • AI enabled code tooling: Cursor, Windsurf, GitHub copilot, • AI powered platform development: Lovable, Replit, Bolt, • APIs & Microservices: RESTful APIs, GraphQL, microservice architectures, • Cloud & DevOps: AWS, Azure, or GCP; Docker; CI/CD pipelines, • Data Integration: Products integrating ML/AI models, databases, BI tools, • UI/UX Awareness: Collaborate on interfaces, data visualisation, user journeys, • Other: Version control (Git/GitHub), testing frameworks, security & optimisation Experience That Helps • 6–10+ years in software/product/AI engineering with a track record of building client-facing products, • Proven experience in rapid prototyping, innovation labs, or product R&D teams, • Commercial experience with AI enabled products using GenAI (LLMs) or Machine Learning, • Familiarity with compliance, retail, FMCG, or operational intelligence systems (advantageous), • Prior startup or SME experience where engineers own end-to-end delivery is highly valued What’s in It for You • The chance to design, build, and launch new digital products inside a market-leading SME, • Freedom to experiment and engineer with AI in a greenfield innovation function, • Remote-first flexibility, with in-person collaboration when needed, • Access to unique compliance and consumer datasets, • Competitive salary and the opportunity to shape Serve Legal's future offering

About the role I’m working with a well-funded early-stage BioAI startup applying machine learning to a hard, underexplored biological problem with real implications for climate resilience and food security. They’re building an ML-first platform where research doesn’t sit in isolation. Models are expected to ship, be used by scientists, and influence real experimental decisions. They’re looking for an ML Engineer who: • Has a strong grounding in modern ML (generative models, representation learning, geometric deep learning, etc.), • Has expertise in building and managing ML infrastructure for large-scale training, inference, and deployment, • Has worked with biological or molecular data in some form… proteins, molecules, structure, interfaces, • Can work closely with chemists and biologists, and actually make the models useful, • Has experience delivering in a fast-paced environment You don’t need prior experience in the exact problem space. Almost nobody has. Adjacent domains and an engineering mindset matter more than perfect overlap. Fully remote (UK), with 1/4ly London meetups, long runway, real scientific ownership. Salary: £90,000 - £120,000 + generous equity

Senior AI/ML Engineer Fully Remote £100,000–£120,000 + benefits About the Role Our client, a blockchain analytics scale-up, is looking for a Senior AI/ML Engineer to join their expanding team. They’re scaling their AI capabilities and need someone passionate about applying cutting-edge machine learning and LLM techniques to real-world crypto data. You’ll work directly with a Staff AI/ML Engineer who has built advanced ML teams in the past, driving projects that power their platform - used by investors to discover opportunities, perform due diligence, and defend portfolios. Key Responsibilities • Designing, implementing, and maintaining AI/ML models to analyse blockchain data at scale., • Translating complex datasets into insights that inform investment and trading strategies., • Working with product teams to build AI-powered features directly into the core platform., • Staying on top of developments in AI, ML, and blockchain - and experimenting with new techniques., • Automated wallet and address labelling through AI and NLP., • NFT and asset price estimation models., • Advanced analytics to detect patterns and behaviours across blockchain data., • Integrating LLM-based capabilities into customer-facing products. What We’re Looking For • 3–6 years of experience in Data Science or ML Engineering., • Strong Python skills and hands-on experience building end-to-end ML solutions., • Interest in blockchain, crypto, or fintech (commercial crypto experience a plus)., • Experience with GCP or similar cloud environments., • Familiarity with modern LLMs or AI APIs., • Someone who experiments in their spare time, reads papers, and keeps up with the latest in AI., • Collaborative and proactive, with the ability to thrive in a remote, fast-paced environment. Interview Process • Culture fit interview., • Technical discussion with the AI Lead., • Technical test (general DS/ML best practices)., • Final panel interview.

Lead AI Engineer UK - Remote Portugal - Remote There are NO limits to your career: come shape the future and be part of a truly unique global culture at OutSystems! About This Role As a Lead AI Engineer in our Artificial Intelligence Group, you will be working on our Mentor line of products. Your main role will be to design and bring to life AI products and features applied to the problem of Enterprise Vibe Coding (vibe coding for “serious software”), covering the full Software Development Lifecycle. To do this, you will work alongside the rest of the group to push the state-of-the-art and build the next generation of AI-native developer tools. The sky's the limit and you’ll help us get there. Key Responsibilities • Stay up to date with the state-of-the-art in Artificial Intelligence and Machine Learning, and apply it to the problem of Enterprise Vibe Coding;, • Make use of techniques such as In-Context Learning (Prompt Engineering & Retrieval Augmented Generation) and Tool Calling to guide Agents to perform as intended;, • Work in an “eval-driven development” methodology, applying evaluation techniques such as model-based critiques, semantic accuracy benchmarks, and tool-use success rates as the basis for developing robust, reliable, and production-ready LLM Agents;, • Work across the entire lifecycle of product development, from ideation, through prototyping and designing to implementation and evaluation;, • Collaborate with cross-functional teams to ship and iterate on production-grade AI products;, • Own the end-to-end development of AI features of a customer-facing product, ensuring software quality, observability and scalability;, • Be a thought leader in the space, advancing the field by putting the most forward ideas into practice in a large-scale project. Qualifications / What You Need To Succeed • Ph.D. or MSc degree in Computer Science, Electrical Engineering, Artificial Intelligence, Machine Learning, or related technical fields is highly valued., • 7+ years of work experience in Machine Learning and AI Engineering roles, preferably building with LLMs and/or Agentic Systems, from development to production., • Hands-on experience with LLM frameworks (e.g. langchain, langgraph, llamaindex, langsmith), AI platforms (e.g. Databricks, mlflow) and containerization solutions (e.g. Docker) is valued., • Strong software engineering fundamentals and proficiency in Python are a must., • Be creative, ambitious and curious. Be resourceful and innovative. The Longer Story: OutSystems enables enterprise teams to build AI-powered applications and agents that reduce manual work, streamline internal operations, and accelerate impact. A proven low-code foundation combined with agentic AI and AI app generation capabilities empowers teams to move up to 10x faster with the assurance of security, scalability, and governance built in. As the future becomes agentic, our customers need us now more than ever. AI has opened the door to extraordinary possibilities—but inside the enterprise, things are moving fast and feeling chaotic. Some early adopters are making progress in production, but for many, AI tools are sprawling without governance, data isn’t ready, and talent isn’t there yet. Enterprises are still drowning in application backlogs and struggling with legacy systems. But with the right platform, AI doesn’t have to add to the chaos. It can become the breakthrough that brings clarity—and drives real, enterprise-wide impact. At OutSystems, we’ve built that platform, providing the tools necessary for enterprises to overcome these hurdles. We are looking for passionate, talented, and motivated people to join us in helping our customers build, deploy, and scale apps and agents—fast, helping them accelerate innovation while enabling secure, governed human-AI collaboration. OutSystems is a truly global company, with more than 850,000 developer community members, 1,700 employees, more than 500 partners, and thousands of active customers in over 75 countries and across 21 industries. Founded in 2001, OutSystems has offices in the United States, United Kingdom, the Netherlands, Portugal, Germany, the UAE, Japan, Hong Kong, Malaysia, Australia, India, and Singapore, and of course has a thriving, worldwide community of remote employees. Amongst our customers are some of the world's most recognizable brands across diverse industries—brands like Toyota, Heineken, Bosch, KeyBank, and UCLA. These customers are the reason we have a 4.6 star rating on G2. Their success is ours, and their stories demonstrate tangible ROI and transformational impact. We are a 9x Gartner Magic Quadrant Leader for Low-Code Application Platforms and a multi-year leader in the Forrester Wave. We’re recognized not just as leaders but as visionaries with a strong ability to execute, now extending our leadership into the AI and agentic application development arena. Working at OutSystems Our goal is to ensure that OutSystems is a place for bright, happy, and motivated people who share a common purpose and take pride in doing excellent work to pursue our vision of providing the AI-powered low-code development platform enterprise leaders trust to build, secure, and evolve their business applications, agents, and core systems. Our culture is focused on our core values of trust, customer success, innovation, and alignment. Our team members operate with transparency, integrity, and accountability, define success through the lens of the outcomes we deliver for our customers, push the boundaries with excellence, and work together toward our shared vision to deliver on what matters most. What do we have to offer you? • A company that is always growing, changing, and innovating. We challenge each other to innovate in our products, in our team, and how we use our own technology. And we give our teams space to be proactive and creative., • Real career opportunities. We care about growth and development. Yes, vertical career progression is a possibility, but it's not the only one. From lateral moves and joining different teams to mastering specialized skills, we support your growth no matter what your goals are., • Work colleagues that are as smart, hard-working, and driven as you. We act as one global OutSystems team, taking ownership and working together toward a shared vision., • Disrupting the status quo is in our DNA. In fact, it’s why our company exists., • We ask “why” a lot. It helps us connect our individual work to the bigger picture and sometimes even uncover a better way. Are you ready for the next step in your career? Then we’d love to hear from you! OutSystems nurtures an inclusive culture of diversity, where everyone feels empowered to be their authentic self and perform at their best. A company that embraces the creativity and innovation that comes through diverse perspectives. We are committed to creating a team that reflects society through inclusive programs and initiatives and are proud to be an equal opportunity employer. All qualified applicants receive equal consideration regardless of race, place of origin, color, age, marital status, religion, sex, sexual orientation, gender expression or identity, protected veteran status, disability status or any other status protected by law.

Senior ML & AI Engineer Remote (Bath office 1 day per month) Up to £80,000 About the Role We’re partnered with a fast-growing tech startup focused on how brands and retailers use data. Their AI platform brings together data science, immersive visualisation, and large-scale machine learning to optimise product ranges, plan shopper journeys, and drive smarter commercial decisions. They’re now looking for a Senior ML & AI Engineer to join their lean, high-impact engineering team. This is a pivotal role at the intersection of ML engineering, backend systems, and LLM integration - ideal for someone who thrives in fast-paced, hands-on environments where ML systems are core. Responsibilities • Design, build, and maintain scalable backend systems that power advanced ML and LLM applications., • Develop and manage end-to-end MLOps pipelines with automation, reproducibility, and scalability at their core., • Deploy and monitor machine learning and LLM models in production, identifying model drift and performance issues., • Drive research and development in modern ML, AI, and LLM approaches, applying SOTA techniques in a real-world setting., • Champion clean, maintainable, and well-documented code following best engineering practices. What We’re Looking For • Strong academic background in Computer Science, ML, AI, or a related field., • Deep hands-on experience with Python and ML frameworks (PyTorch, TensorFlow, Hugging Face)., • Proven background in MLOps, including model versioning, CI/CD for ML, and production monitoring., • Experience building robust backend systems and APIs to serve ML models at scale., • Strong understanding of big data technologies and data orchestration tools (Airflow, DBT)., • Familiarity with LLM integration and optimisation in production environments., • Excellent problem-solving, analytical, and communication skills., • Experience fine-tuning LLMs (e.g. Unsloth, cloud-based methods).

About the role We are looking for an AI Interaction Engineer to lead the development of expressive, emotionally legible robot interactions. This role sits at the intersection of AI, animation, and robotics and focuses on motion, expression, and behavior generation rather than classical task planning or control. This is a high-impact role with significant technical ownership. You will shape both how interactions are built and what expressive capabilities are possible, translating cutting-edge research into robust, real-world systems. What you’ll work on • Lead the design and implementation of AI-based motion and expression generation for robots, • Define interaction architectures that combine motion, timing, and emotional cues, • Translate animation and virtual human research into systems that respect robotic constraints, • Drive technical exploration and prototyping in expressive interaction and embodied AI, • Partner closely with engineers, designers, roboticists, and product engineers to shape interaction quality, • Evaluate, adapt, and integrate state-of-the-art research into production pipelines, • Help set technical direction and best practices for AI-driven interaction work Required experience • Strong experience working with AI / machine learning systems (research and/or applied), • Deep experience in one or more of the following: Human motion generation, Character animation or character control, Emotion recognition or affective computing, Human pose estimation, Virtual humans or embodied AI, • Strong proficiency in Python and modern ML frameworks (e.g. PyTorch), • Proven ability to translate research ideas into working systems, • Track record of technical ownership and independent problem-solving, • Experience working with robots or physically embodied systems, • Background in computer graphics or animation pipelines, • Publications, patents, or open-source contributions in relevant areas, • Experience mentoring other engineers or influencing technical direction, • Familiarity with real-time or production AI systems Education • Master’s or PhD in AI, Computer Science, Robotics, Computer Graphics, or a related field preferred, However strong candidates with proven skill sets are welcome regardless of educational background Why this role matters Interaction quality is a core differentiator for our product. This role directly shapes how users perceive, understand, and emotionally connect with our robots. As a senior hire, you will have outsized influence on both the technical foundations and the expressive capabilities of the Interaction Team. About Engineered Arts Engineered Arts is the leading manufacturer of full-size humanoid robots used for entertainment, education and communication. With 20 years of hardware and software development, our robots have been sold in over 30 countries worldwide with customers such as NASA, PwC, Meta and many more. Our Ameca robot is well known as ‘the face of AI’ and a social media viral success, taking advantage of the generative AI craze. Along with our ultra-realistic Mesmer range of animated figures our robots continue to surprise and excite visitors at museums, theme parks, visitor attractions and trade shows as well as aid leading universities with AI and robotics research. Our robots are poised to break into the future mega-expansion service robot segment, with applications such as front of house, receptions, check-in desks, information points and PoS. We are also exploring how our humanoid robot technology can disrupt other robotics sectors such as the growing cobot sub-segment of the industrial robotics market. We are a team of dedicated engineers and creatives striving to develop the very best experiences for our customers. Our internal motto is ‘Be Wow’, everything we do is fun, entertaining or surprising to encounter. We always push the boundaries of what is possible in humanoid robotics, researching and developing new systems and techniques to further their appeal. We explore and challenge the human perception of robots as well as the fear and discomfort and the excitement and joy life-like mechanical humanoids present. At Engineered Arts, innovation is at the core of everything we do — and we believe true innovation only happens when diverse minds come together. We are committed to building a workplace where people of all backgrounds, identities, and perspectives feel welcome, supported, and empowered to contribute. Whether you’re an engineer, developer, or creative thinker, we value what makes you unique. We actively promote inclusion across our hiring, design, and development practices, and we’re always looking for new ways to reflect the world around us — in our team, our robots, and our ideas. Because building the future means including everyone in it.” We are committed to equal opportunity in employment and comply with all applicable non-discrimination and equal employment laws in the regions where we operate.

Machine Learning Engineer - Contract (Financial Services, Outside IR35) Duration: 6 months Rate: £650 - £750 per day IR35: Outside Location: UK / Remote We’re seeking an experienced Machine Learning Engineer to support a Financial Services organisation on an initial 6-month contract, working on production-grade ML systems that operate in regulated, high-volume environments. This role is ideal for someone comfortable taking models from research through to deployment, with a strong appreciation for robust engineering, governance, and scalability. Responsibilities • Design, build, and deploy machine learning models into production within a Financial Services environment, • Collaborate closely with Data Scientists, Software Engineers, Risk, and Product teams, • Build and maintain end-to-end ML pipelines (training, validation, inference, monitoring), • Ensure models meet requirements around performance, resilience, and explainability, • Contribute to MLOps best practices, model governance, and technical standards, • Support model monitoring, drift detection, and ongoing optimisation Required Experience • Proven commercial experience as a Machine Learning Engineer, ideally within Financial Services, FinTech, or a regulated environment, • Strong Python skills and hands-on experience with ML libraries (TensorFlow, PyTorch, scikit-learn), • Experience deploying and supporting ML models in production, • Solid understanding of data pipelines, versioning, testing, and software engineering best practices, • Experience working with cloud platforms (AWS, GCP, or Azure) Nice to Have • Experience with fraud, risk, credit, AML, pricing, or customer analytics use cases, • Familiarity with MLOps tools (MLflow, Kubeflow, Airflow, etc.), • Docker and Kubernetes experience, • Exposure to model governance, explainability, or regulatory frameworks Contract Details • £650–£750 per day (Outside IR35), • Initial 6-month contract, with strong extension potential, • Immediate or short-notice start preferred

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