Computer design jobs in LeedsCrear alertas

ABOUT US Via an integrated capabilities, Transform, Tech & Talent, we deliver AI-powered solutions that help clients navigate complexity, accelerate change, and unlock competitive advantage. We enable organisations to adopt and scale artificial intelligence effectively, turning potential into performance. We are results-driven, combining cutting-edge AI technologies with exceptional talent to solve complex challenges. We work in close partnership with our clients, aligning intelligent innovation with long-term strategic goals to deliver meaningful, measurable transformation. Our global team is made up of passionate, highly skilled individuals with experience spanning software engineering through to technology strategy development and change management. We collaborate seamlessly, operating with agility and openness to deliver impact, whether delivering a standalone technology solution or embedding AI across an organisation as part of a broader transformation programme. THE ROLE We are now looking for a Senior Software Engineer with a background in C++ development to join the team. The successful candidate will contribute to the design and development of software systems on behalf of our clients. You will be responsible for ensuring any assigned project work is delivered on time and to a high standard and play a key role in demonstrating software solutions to your team members and clients. The contract currently runs until the end of April. This is a hybrid role, with 3 days a week in our Leeds city centre office. RESPONSIBILITIES • Developing and integrating complex software systems, ensuring scalability, performance, and reliability., • Ensuring any solutions align with client requirements., • Contributing to discussions concerning solution design, working closely with Senior and Principal Developers., • Maintaining high quality code with clear and comprehensive documentation, • Participating in coding reviews and adhering to coding guidelines, identifying and resolving coding problems., • Implementing design patterns to support solution development., • Identifying and rectifying security weaknesses within project solutions, ensuring source code, configuration, and systems are kept secure., • Working closely with cross-functional teams, including project management, quality assurance, and operations, to ensure successful software delivery., • Implementing user stories and resolving issues in the team’s backlog, • Contribute to the team’s backlog, helping to refine and estimate stories., • Translating technical requirements into application code using development best practices., • Participating in reviews of own work and in reviews of the work of colleagues., • Unit testing of modules developed or modified, ensuring the application meets the needs of clients and the business., • Work collaboratively in an Agile environment, being proactive to work with others to deliver sprint and release goals. REQUIRED SKILLS AND EXPERIENCE • Windows application software engineering / programming skills with balance of .Net and legacy windows forms work., • Good knowledge of C++ and C#., • Good Knowledge of WPF., • Experience of developing with relational databases., • Experience of Microsoft Visual Studio., • Experience of Azure DevOps is ideal., • Experience of working in an Agile environment., • Experience of formal software development lifecycles., • Systematic, disciplined and analytical approach., • Keen to help others and collaborate with other teams., • Excellent verbal and written communication skills, • Strong experience of APIs (design and implementation) and Web services., • Strong backend and database skills., • Experience of cloud SaaS platforms (AWS and/or Azure and/or GCP)., • Understanding of CI/CD systems & pipelines (TeamCity, GitHub Actions, etc.)., • Experience of monitoring and logging techniques., • Understanding accessibility and security compliance., • Understanding the integration of multiple data sources and databases into one system., • Familiarity with Code Review processes., • Degree in computer science or related field.

👋 About Renude Renude builds AI-powered software for the beauty industry, helping brands deliver personalised, expertise-focused customer support through intelligent digital agents. Our technology powers e-commerce experiences including: skin analysis, product recommendation and LLM-based chat. We’ve been awarded by CEW, Beauty Innovation Awards, Tech Nation and more, and have raised over $3M from leading tech investors. Our team combines tech, formulation, dermatology, e-commerce and sales expertise. We’re looking for a mid-senior (4+ years experience) Machine Learning Engineer to help design, build, and scale our production ML systems with ownership from experimentation through to deployment. You’ll work end to end on LLM-powered conversational agents and support the training, optimisation, and deployment of computer vision models that power real customer interactions. 🔧 What We Offer • Train, evaluate and deploy agentic AI systems and computer vision models for real-world use, • Collaborate with product and engineering to integrate ML systems into user-facing features, • Develop and deploy production-quality machine learning frameworks, while maintaining robust MLOps pipelines, • Stay up-to-date with the latest advancements in AI, conduct research, and explore innovative techniques, • Influence key decisions on architecture and implementation of scalable, reliable, and cost-effective engineering solutions ✅ What We're Looking For Must-Haves: • 4+ years experience writing production ready code for machine learning systems, • 2+ years experience developing conversational AI, RAG, agentic systems or LLM-based products, • Familiarity with RAG orchestration frameworks such as LangChain or LlamaIndex.2+, • Experience with production optimisation for RAG systems, including latency, token cost control, context window constraints, monitoring and prompt versioning, • Strong Python skills and experience with PyTorch, TensorFlow or Keras, • Exposure to MLOps practices and hands-on experience with Sagemaker and/or Vertex AI, • Bachelor's degree in a technical field such as computer science or years of equivalent experience, • Comfortable working autonomously and taking ownership in a fast-moving, remote, startup environment Nice-to-Haves: • Masters or advanced degree in artificial intelligence, machine learning, natural language processing, computer vision, or related field, • 2+ years experience training and optimising computer vision models, • Proficiency working with vector stores, data chunking, embeddings, retrieval, ranking and recommendation systems, • Experience with Django or similar Python web frameworks, • Familiarity with Docker and containerised development, • Exposure to CI/CD pipelines and infrastructure-as-code 🌱 What We Offer • Competitive compensation (based on experience and location), • Remote-friendly culture with flexible working hours, • Opportunity to work with cutting edge technologies, • High ownership and real technical influence, • A supportive team that values product excellence and personal growth

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 About the Company Our client is an extremely well know, digital marketplace focused on sustainable ecommerce. With over 35 million of active users globally, they’re redefining how people buy and sell second-hand fashion, aiming to make the future of style both circular and accessible. The company has offices in UK, EU and US and experienced significant growth especially around the US market and now operates as part of a leading global e-commerce group. They pride themselves on fostering inclusivity, creativity, and innovation and values that extend to both their community and their teams. The organisation champions diversity, equal opportunity, and flexible working. They offer a progressive benefits package designed to support wellbeing, learning, and work-life balance. The Role of Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our client is seeking an experienced Machine Learning Engineering Manager to lead the reccomendation team. This person will drive innovation in how users find and engage with products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 • Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning., • Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth., • Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation., • Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring)., • Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning., • Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: • 7+ years of experience in applied machine learning with a proven track record delivering production models at scale., • At least 2 years of leadership experience managing ML Scientists or Engineers., • Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms)., • Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow., • Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy., • Excellent communication and stakeholder management skills, with the ability to bridge complex ML concepts for diverse audiences., • Familiarity with AWS and Databricks., • Experience with search infrastructure (e.g., OpenSearch or Elasticsearch). What can they offer you? • Private health and mental wellbeing coverage, including access to counselling and coaching., • Salary of up to £140,000+Bonus & Benefits, • 25 days annual leave, plus additional company-wide rest days and volunteer leave., • Flexible hybrid working, with the option to work abroad for limited periods., • Generous parental, IVF, and carer leave policies., • Learning and development budgets for conferences, mentorship, and skills growth., • Pension matching, life insurance, and recognition for service milestones. If you are interested in the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 then drop over your CV and we will give you a call if we think you are a good fit!

Location: Leeds, UK (3 days in office) MANDATORY! SC Requirement: SC Cleared / SC Eligible Job Type: Full-Time Relevant Experience: >15 Years Job Summary The Data Architect will be responsible for defining, designing, and governing data models, data flows, and data lifecycle processes across multiple integrated systems. The role requires strong expertise in AWS-based solutions, NoSQL data modeling, data governance, and integration between heterogeneous systems. The architect will work collaboratively with technical teams, data governance groups, and senior stakeholders to ensure that data structures, documentation, and processes support business objectives and comply with established governance standards. Key Responsibilities • Define logical and physical data models, including NoSQL data structures, to support business and technical requirements., • Establish and maintain data structures, data flows, and end-to-end documentation across systems., • Define and document data requirements, inputs, outputs, and lineage using approved data lineage and traceability tools., • Lead the creation and maintenance of API documentation and data integration specifications., • Ensure data consistency, integrity, and quality across systems, aligning with established governance frameworks and regulatory standards., • Implement and uphold data governance processes, collaborating with central data architecture and governance teams to ensure enterprise alignment., • Contribute to broader architecture decisions to ensure designs adhere to organisational standards and technical strategy., • Support and oversee data-related testing activities by clarifying data models, flows, and requirements for testing teams., • Conduct impact analysis and support lifecycle management of data assets, identifying opportunities for reuse and optimisation., • Engage with cross-functional stakeholders—including developers, testers, product and technical architects, senior leadership, and governance forums—to communicate design decisions and secure required approvals., • Provide guidance, oversight, and direction to data analysts and support other architects as needed., • Ensure adherence to security, privacy, and compliance requirements, including meeting clearance requirements where applicable. Skills Required • Strong experience in data architecture with proven expertise in data modeling for both relational and NoSQL databases, including structured and unstructured data environments., • Hands-on experience with cloud platforms—particularly AWS—and NoSQL technologies such as DynamoDB., • Strong understanding of system integrations, including API-based workflows, data exchange patterns, and documentation of integration specifications., • Proficiency in designing and managing data integration workflows across diverse platforms., • Experience with data lineage, metadata, and traceability tools (e.g., Solidatus) or the ability to quickly adopt such tools., • Solid understanding of data governance principles, data quality processes, lifecycle management, and compliance with privacy and regulatory standards., • Strong analytical thinking and problem-solving skills, with the ability to translate business requirements into effective data designs and technical solutions., • Excellent communication, stakeholder management, and engagement skills, with the ability to collaborate with senior leadership, technical teams, and governance bodies., • Experience supporting data-focused testing activities and clarifying data models and flows for testing teams., • Ability to work effectively across multiple delivery teams in Agile environments and adapt to evolving project needs. Qualifications • Bachelor’s or Master’s degree in Computer Science, Information Systems, Data Science, or a related field., • Relevant certifications in data architecture, cloud platforms, or data governance are an advantage., • Prior experience in a Data Architect or similar role, preferably in complex, multi-team environments.

3D Digital Treatment Designer We require you to possess a strong sense of curiosity and a willingness to learn. The company looks forward to growing together with you. Job Responsibilities: 1. Responsible for designing 3D treatments using Smartee's Smart check design software., 2. Support customer by phone, email and/or remote support., 3. Active collaboration with sales and customer service group to fully meet customer needs. Job Requirements: 1. Bachelor's Degree above or equivalent experience /certifications., 2. Excellent computer literacy., 3. No limit to majors, but Medical/Dental Medicine majors is preferred., 4. Holding a PSW visa., 5. IELTS score of 6.5 or above., 6. Chinese and English can be used as working languages. We Offer 1. Systematic training and long-term learning time., 2. Competitive salary and benefits., 3. Opportunities for career growth and professional development., 4. A collaborative and supportive team environment.

Job Title: Microarchitect & RTL Design Engineer Location: England, United Kingdom (office location yet to be determined) About the Role: We are seeking a seasoned Microarchitect and RTL Design Engineer with a strong background in microarchitecture and RTL coding. The ideal candidate will play a key role in shaping our technology portfolio, bringing expertise and creativity to our solutions Key Responsibilities: • Design and develop microarchitectures for a set of highly configurable IPs, • Microarchitecture and RTL coding ensuring optimal performance, power, area, • Collaborate with software teams to define configuration requirements, verification collaterals etc., • Work with verification teams on assertions, test plans, debug, coverage etc. Qualifications: • BS, MS in Electrical Engineering, Computer Engineering or Computer Science, • 8+ years and current hands-on experience in microarchitecture and RTL development, • Proficiency in Verilog, System Verilog, • Familiarity with industry-standard EDA tools and methodologies, • Experience with large high-speed, pipelined, stateful designs, and low power designs, • In-depth understanding of on-chip interconnects and NoCs, • Experience within ARM ACE/CHI or similar coherency protocols, • Experience designing IP blocks for caches, cache coherency, memory subsystems, interconnects and NOCs, • Familiarity with RAS designs, QoS in fabrics, PCIe/IO is a plus, • Experience with modern programming languages like Python is a plus, • Excellent problem-solving skills and attention to detail, • Strong communication and collaboration skills

Location: Cheltenham, Gloucester Area INTRODUCTION We are looking to hire a skilled Software Developer to join our dynamic and innovative team. As a Software Developer, you will be responsible for designing, implementing, and maintaining high-performance, scalable software solutions using Python and related technologies. You will collaborate closely with cross-functional teams to develop and deploy robust web applications, leveraging your expertise in Flask, MongoDB, HTML, CSS, Bootstrap, JavaScript, RESTful services, Docker, AWS, Jenkins, and Git. RESPONSIBILITIES • Design, develop, and maintain Python-based web applications using the Flask framework., • Implement efficient data storage solutions using MongoDB., • Create responsive and visually appealing user interfaces using HTML, CSS, and Bootstrap., • Enhance user experience through dynamic client-side scripting with JavaScript., • Develop and integrate RESTful services to support seamless communication between frontend and backend systems., • Containerise applications using Docker for streamlined deployment and scalability., • Deploy and manage applications on AWS cloud infrastructure., • Implement continuous integration and continuous deployment (CI/CD) pipelines using Jenkins., • Collaborate with cross-functional teams to understand requirements and translate them into technical solutions., • Ensure code quality, performance, and security through rigorous testing and code reviews., • Utilise version control systems, particularly Git, for managing the codebase and collaboration. EXPERIENCE / REQUIREMENTS • Bachelor’s degree in Computer Science, Software Engineering, or a related field (or equivalent work experience)., • Proven experience (1.5 years) as a Python Developer, with a focus on web development., • Proficiency in the Flask framework and MongoDB database design and management., • Strong understanding of web technologies including HTML, CSS, Bootstrap, and JavaScript., • Experience building and consuming RESTful APIs., • Familiarity with containerisation technologies such as Docker., • Hands-on experience with cloud platforms, particularly AWS., • Knowledge of CI/CD tools such as Jenkins for automated deployments., • Solid understanding of version control systems, particularly Git., • Excellent problem-solving and analytical skills., • Strong communication and collaboration abilities. ADDITIONAL REQUIREMENTS • Occasional UK travel may be required to attend team or customer meetings, events, and training activities., • Flexible working arrangements are available; however, there is value placed on teams being co-located in offices. Applicants are encouraged to discuss what may be possible during the application stage.

AI/ML Engineer (Generative AI / LLMs) Location: Fully Remote (UK-based) The Role We’re hiring a Senior Machine Learning Engineer to lead the design and production of Generative AI and Large Language Model (LLM) applications. This role sits at the heart of an AI-focused engineering team, delivering scalable, production-grade systems using GCP and Google’s AI ecosystem. You’ll be a senior, hands-on engineer owning complex technical problems end to end, with a strong influence over architecture, tooling, and the future direction of LLM-powered products. What You’ll Be Doing • Design, develop, and deploy advanced machine learning and deep learning models into production., • Architect scalable LLMOps pipelines on GCP / Vertex AI, including fine-tuning, vector search, and low-latency inference., • Build end-to-end LLM applications, leveraging RAG (Retrieval-Augmented Generation), agentic workflows, and prompt engineering., • Implement robust evaluation frameworks to monitor LLM quality, hallucinations, token usage, and content safety., • Develop and deploy autonomous or semi-autonomous agents using modern agent frameworks and Google AI tooling., • Collaborate with product and engineering teams to translate complex business requirements into ML-driven solutions., • Monitor, optimise, and continuously improve models in live production environments., • Contribute to the architecture and evolution of the AI platform and supporting data infrastructure., • Stay current with emerging research, tools, and best practices across ML and Generative AI. What We’re Looking For Essential • 5+ years’ experience in machine learning engineering or applied AI roles., • Recent, demonstrable experience with LLMs, Generative AI, and/or RAG-based systems., • Strong Python skills using frameworks such as PyTorch, TensorFlow, Hugging Face, or Google GenAI., • Experience with vector databases and retrieval-based architectures., • Proven experience designing and operating large-scale ML systems in production., • Strong experience with GCP Vertex AI (or equivalent cloud ML platforms)., • Solid software engineering fundamentals: APIs, Docker, CI/CD, and Git., • Strong understanding of deep learning, statistical modelling, and optimisation techniques. Nice to Have • Experience with agentic design patterns (e.g. ReAct, Chain-of-Thought, tool use)., • Familiarity with LLM evaluation frameworks such as RAGAS or TruLens., • Experience fine-tuning large models or working with reinforcement learning techniques., • Background in mathematics, statistics, or theoretical computer science., • Understanding of data governance, bias mitigation, or model interpretability. Why Join • Work on real, production-grade GenAI systems with clear business impact., • High autonomy and ownership in a senior, hands-on engineering role., • Fully remote working with a collaborative, distributed team., • Opportunity to influence architecture and long-term technical direction., • Competitive salary

Working for a leading semiconductor R&D department, I am recruiting for a high-level GPU Architect, to work on the latest R&D developments in Graphics Hardware Processors. There is also opportunity for leadership within this exciting R&D team for GPU Hardware. A key-selling point is this is a highly innovative and exciting opportunity to work with leading experts in GPU R&D to define cutting-edge Graphics products in the industry. This is a multi-functional role, where you will also contribute to the future strategy of next-generation IP. Salary details Salary will be based upon years and relevance of experience - circa £100k and / or above for highly-skilled architects Location & additional info • This is a UK based role, so 1st preference and priority will be given to applicatints with UK working rights, • There is also the potential for hybrid / remote / fully remote working from other European locations, • Visa sponsorship and relocation support can also be considered for qualified applicants who are motivated to relocate permanently to the UK Key / "Must-Have" skills • Significant knowledge and experience with design and architecture of GPU IPs - Graphics Hardware Processors (5 - 10+ years' experience), • Strong understanding of modern 3D graphics and/or compute APIs, such as Vulkan, D3D12 and OpenCL, CUDA etc., • Definition of high-level GPU architecture / micro-architecture, • Confidence knowledge in the ASIC digital design flow, • Experience in R&D of the latest products and features, • Ability to take a concept through to production and delivery / tape-out, including performance review, analysis, costing, and optimisation, • Understanding of the product's design & verification needs, standardisation, adherence to frameworks and methodolgies e.g. UVM, • Excellent communicator, with a keen interest in team collaboration and a clear approach to the design & development process Bonus / "Nice-to-have" skills • Digital Video processing / video compression / video codecs or similar field, • Image signal processsing, • (Computer) arithmetic / maths / algorithm development or algorithm implementation, • Modelling - System C, UML, TLM 2, • Strong maths and algorithm skills, • Understanding of / analysis of: compiler performance / driver performance, • Functional Safety - ISO26262, • Graphics software development For more information, please contact Rob Hudson @ Ic Resources for a discussion today!

Security Operations Engineer / DevSecOps (Azure) Remote UK to £80k Are you a bright, ambitious technologist looking for an opportunity to progress your career? You could be joining a rapidly expanding scale-up software house that is developing a highly complex network cyber security platform; the platform monitors network protocols in real-time, parses the commands and data structures to extract key metadata which is then analysed by in-house algorithms and allows customers to detect hackers, malware, data leakage and other malicious activity. Your role: As a Security Operations Engineer / DevSecOps you will play a crucial role in building and securing cloud-native platforms and development workflows, working at the intersection of Azure cloud engineering, security operations and CI/CD pipeline automation, ensuring that security is embedded into every stage of the software delivery lifecycle. You'll take ownership of implementing and maintaining security controls across Azure environments, continuously monitoring systems for vulnerabilities, misconfigurations and threats and securing CI/CD pipelines - integrating automated security testing, enforcing best practices, and ensuring that development teams can ship code quickly without compromising safety. In this role, you'll collaborate closely with engineering, platform and security teams to design scalable, secure architectures and drive a culture of secure-by-default engineering. You'll help define security standards, perform regular testing and validation, and respond proactively to emerging risks and incidents. This is a hands-on, high-impact position ideal for someone who loves blending automation, cloud engineering, and cutting-edge security practices to protect modern distributed systems. Location / WFH: There's a remote first policy so you can work from home from anywhere in the UK (or can be hybrid based from the London office). About you: • You must be a Computer Science graduate from a Russel Group university (min 2:1 classification), • You have experience with DevSecOps, security testing, monitoring and securing CI/CD pipelines, • You have a strong knowledge of Azure and cloud security, • You have experience of threat detection and scanning code for vulnerabilities, • You're collaborative with excellent communication and relationship building skills, • You have meticulous attention to detail, • You have strong analysis and problem solving skills What's in it for you: As a Security Operations Engineer / DevSecOps you will earn a competitive package: • Salary to £80k, • Continuous training and career development including paid for industry certifications, • Remote working Apply now to find out more about this Security Operations Engineer / DevSecOps (Azure) 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.

We have multiple clients across the UK currently looking for E&I / EC&I / C&I or Multi-Skilled Engineers that are Electrician Bias. You would need prior experience in an industrial setting. Some of the key locations are: Cambridge Suffolk Norwich Manchester However if you are open to relocation or actively looking for a similar role anywhere in the UK, do apply, we have a very big team with clients all over the country looking for strong EC&I professionals. Below is an example of the type of positions we have available. EC&I Technical Leadership • Serve as the site’s Subject Matter Expert (SME) for Electrical, Control, and Instrumentation matters, ensuring safe, reliable, and compliant operation of plant equipment., • Develop and maintain site EC&I standards (including ATEX, DSEAR, SIL, functional safety, etc.) in alignment with industry best practices and legal requirements. Project Management • Lead or support EC&I projects from concept through commissioning, ensuring on-time, on-budget delivery., • Coordinate with internal teams (Operations, Maintenance, HSE, etc.) and external contractors to define scopes of work, manage schedules, and track budgets., • Oversee design, installation, and commissioning of new EC&I systems, ensuring compliance with COMAH and other regulatory requirements. Maintenance & Reliability • Provide technical guidance to maintenance teams on preventive, predictive, and corrective maintenance of electrical and instrumentation assets., • Support day-to-day troubleshooting and fault-finding across a range of systems (e.g., PLCs, DCS, safety instrumented systems, field instrumentation)., • Drive reliability improvements through root cause analysis (RCA) and continuous improvement methodologies. COMAH & Regulatory Compliance • Collaborate closely with the HSE team to ensure EC&I operations and projects satisfy COMAH, ATEX, DSEAR, and other relevant regulations., • Maintain and develop safety instrumented systems (SIS), ensuring proper documentation, proof testing, and compliance with IEC 61508/61511., • Participate in COMAH-related activities, including audits, hazard studies (HAZOP/LOPA), safety reports, and regulator inspections. Standards & Documentation • Establish and maintain EC&I technical documentation (e.g., drawings, loop diagrams, schematics) and ensure compliance with site change control procedures., • Implement standards for the management of safety-critical systems, ensuring appropriate performance levels (e.g., SIL determinations) are met., • Support development of site procedures, work instructions, and best practices in line with company policies and legal obligations. Continuous Improvement • Identify and implement opportunities to enhance efficiency, reduce cost, and improve safety within EC&I disciplines., • Keep abreast of emerging technologies, standards, and best practices; recommend upgrades and innovations to maintain a competitive edge., • Promote a culture of continuous improvement, sharing knowledge, and mentoring other engineering team members. Contractor & Stakeholder Management • Manage EC&I contractors and vendors, including selection, contract negotiation, and oversight of quality control., • Liaise with external stakeholders (e.g., HSE, Environment Agency) and represent the site’s EC&I interests in audits or inspections., • Collaborate with internal stakeholders such as Operations, R&D, QA, and other engineering functions to align priorities and deliver effective solutions. Budget & Resource Management • Support the Engineering Manager in developing and managing budgets related to EC&I projects and maintenance activities, • Monitor spending against budget, ensuring cost-effective solutions without compromising safety or performance., • Proactively plan resource needs and schedule work to minimize downtime and disruption to production. Key Requirements: Education & Certifications • Bachelor’s degree in Electrical, Control & Instrumentation Engineering (or a related discipline)., • Chartered Engineer (CEng) status preferred or working towards it. Experience • 5–10 years of EC&I engineering experience within a high-hazard chemical, petrochemical, or similar industrial environment., • Proven track record in executing and commissioning EC&I projects, including cost control and contractor management., • Familiarity with COMAH regulations and major hazard site requirements. Technical Skills • Strong knowledge of process control systems (PLC, DCS), instrumentation calibration, loop checking, and functional safety (IEC 61508/61511)., • Understanding of electrical distribution systems (Low/High Voltage), BS7671 wiring regulations, and relevant directives., • Proficiency in computer-aided design (CAD) software and maintenance systems (e.g., CMMS/Agility). Open to candidates willing to relocate within the UK Visa Sponsorship unfortunately not possible to non-EU nationals

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).

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.

🚀 About Webigence and Spark Travel Webigence has 25 years of experience crafting UX‑first, often highly complex software. Our engineers pair forward‑thinking agile practices with an obsession for intuitive design, shipping products that feel effortless even when the logic underneath is anything but. Alongside a handful of long‑standing third‑party clients, we’re scaling our own SaaS product—Spark Travel—at pace. You’ll join a smart, collaborative team that pushes each other to articulate and defend every architectural decision in pursuit of best‑in‑class software. Spark Travel itself is on a mission to drag the tailor‑made travel industry into the 21st century. Our cloud‑native platform unifies sales, supplier contracting, dynamic pricing, and on‑trip operations—everything from the first quote to the traveller’s safe return. The market is huge, the incumbents are slow, and we already have meaningful traction: roughly 35 customers and an accelerating sign‑up pace, a very healthy sales pipeline, and a roadmap brimming with genuinely novel features. With a fantastic existing team across engineering, product, customer success, marketing, and sales, we’re gearing up for hyper‑growth. We’re looking for two down‑to‑earth professional, a conscientious Senior Software Developer, to build on what already works and unlock our next wave of innovation. 🌟 Your Impact • Raise the bar sensibly. Whether you’re refining our Azure architecture as CTO or shipping revenue‑critical features as Senior Dev, you’ll set high standards without reinventing the wheel., • Champion intuitive user experiences. Both roles care deeply about usability, ensuring our platform feels effortless for travel pros and their travellers., • Own the craft. Understand the problem, ship the solution, measure the outcome—and when something’s working, double‑down on it., • Move the needle. Your work will streamline the day‑to‑day of leading tailor‑made tour operators and DMCs—enhancing trip experiences for their travellers as we scale. 🧭 Role Snapshot 2️⃣ Senior Software Developer • Be UK‑based (remote within the UK) with ability to attend occasional team meet‑ups in London (travel expenses covered)., • Design, build, and maintain features across the stack: .NET (C#) based API backends, Angular (TypeScript) based frontends, SQL Server, Cosmos DB., • Own mission‑critical modules such as pricing engines, itinerary or form builders, client proposal app, etc., • Write clean, tested code; automate everything from CI/CD pipelines (Azure DevOps/GitHub Actions) to performance benchmarks., • Investigate and diagnose issues and perform root cause analysis., • Collaborate cross-functionally with Product, Design, and Customer Success., • Propose incremental improvements and occasionally explore new tech (e.g. Azure OpenAI) when it clearly solves a problem. You might be our Senior Dev if… - Hold a 1st-class or 2:1 degree in Computer Science or a closely related discipline. - 4+ years building modern web or data applications with .NET and at least one JavaScript framework. - Hands-on experience with Azure or another major cloud provider, plus an understanding of microservices and event-driven architectures. - You love balancing delivery speed with technical excellence, and you’re keen to keep learning. 🎁 What We Offer • Competitive salary, equity options coming soon, • Remote‑first culture with asynchronous workflows, • Private healthcare, • Employer pension contributions above statutory, • Home‑office setup budget, • Coworking space allowance, • Flexible hours with async core overlap, • Professional‑development budget, • Conference & certification leave, • Choose‑your‑own‑tech toolkit, • Travel‑to‑London expenses for required in‑person meetings, • Collaborative and innovative company culture 📩 How to Apply • Send your CV., • Confirm you are currently living and legally able to work in the UK., • Share one project or decision you’re proud of, why it mattered, and what you learned. Please note: We are only considering UK‑based applicants who fully meet the role criteria. Applications that do not comply will not be considered now or in future hiring rounds. Deadline: 15th November 2025 (rolling review—apply early). Spark Travel is an equal‑opportunity employer and a welcoming neurodiverse team. We celebrate diversity and are committed to creating an inclusive environment for all. We’re not just saying that, we really mean it!

Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 About the Company Our client is an extremely well know, digital marketplace focused on sustainable ecommerce. With over 35 million of active users globally, they’re redefining how people buy and sell second-hand fashion, aiming to make the future of style both circular and accessible. The company has offices in UK, EU and US and experienced significant growth especially around the US market and now operates as part of a leading global e-commerce group. They pride themselves on fostering inclusivity, creativity, and innovation and values that extend to both their community and their teams. The organisation champions diversity, equal opportunity, and flexible working. They offer a progressive benefits package designed to support wellbeing, learning, and work-life balance. The Role of Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 Our client is seeking an experienced Machine Learning Engineering Manager to lead the reccomendation team. This person will drive innovation in how users find and engage with products through advanced machine learning models improving search relevance, personalisation, and conversion outcomes at scale. You’ll lead a talented team of ML Scientists and collaborate cross-functionally with product, data, and engineering leaders to define and execute the ML roadmap for search. This is an opportunity to have tangible business impact while working with cutting-edge technology in NLP, computer vision, and multimodal retrieval. Key Responsibilities for the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | London, Hybrid, 1 Day PW, Up to £140,000 • Lead, coach, and develop a team of ML Scientists, fostering a culture of experimentation, collaboration, and continuous learning., • Partner with Product, Data, and Engineering leaders to shape and deliver an actionable ML strategy that drives engagement, conversion, and growth., • Oversee the design, training, and deployment of search and recommendation models — from data strategy to monitoring and performance optimisation., • Collaborate with platform and MLOps teams to ensure robust, efficient, and scalable ML workflows (including CI/CD, feature management, and monitoring)., • Share insights and best practices across other ML teams, particularly in areas of recommendations, ranking, and multimodal representation learning., • Stay current with emerging research in NLP, CV, and multimodal retrieval; champion responsible AI principles; and communicate findings to both technical and non-technical audiences. Requirements for the role: • 7+ years of experience in applied machine learning with a proven track record delivering production models at scale., • At least 2 years of leadership experience managing ML Scientists or Engineers., • Deep expertise in search and recommendation systems (e.g., semantic embeddings, learning-to-rank, personalisation algorithms)., • Hands-on experience with modern ML toolchains — Python, Spark, and frameworks such as PyTorch or TensorFlow., • Strong grounding in experimental design, A/B testing, and the use of offline/online metrics to guide product strategy., • Excellent communication and stakeholder management skills, with the ability to bridge complex ML concepts for diverse audiences., • Familiarity with AWS and Databricks., • Experience with search infrastructure (e.g., OpenSearch or Elasticsearch). What can they offer you? • Private health and mental wellbeing coverage, including access to counselling and coaching., • Salary of up to £140,000+Bonus & Benefits, • 25 days annual leave, plus additional company-wide rest days and volunteer leave., • Flexible hybrid working, with the option to work abroad for limited periods., • Generous parental, IVF, and carer leave policies., • Learning and development budgets for conferences, mentorship, and skills growth., • Pension matching, life insurance, and recognition for service milestones. If you are interested in the Engineering Manager, Machine Learning, Marketplace, Ecommerce, | 35 Million Users | UK Remote OR London, Hybrid, 1 Day PW, Up to £140,000 then drop over your CV and we will give you a call if we think you are a good fit!

STAFF ENGINEER LONDON OR MANCHESTER £80,000 - £110000 THE COMPANY This UK-based SaaS scale-up is on a mission to protect advertisers’ digital spend by detecting and blocking invalid or low-value clicks. Using machine learning and real-time behavioural analytics, they help agencies and large advertisers improve ROI and reduce waste—all while being cookieless and privacy-compliant. With £15M in Series A funding and integrations with major ad platforms, this is your chance to lead a high-impact engineering team in a fast-growing, data-driven environment. THE ROLE As a Staff Engineer, you’ll be a technical leader in the Platform Team, focusing on hands-on development, architecture, and mentorship. You’ll work with real ML datasets, Rubix data, and large-scale ad traffic analytics, building features for the Data Science team and launching new ML models. This role is not about people management—it’s about owning technical design, writing high-quality code, and driving innovation. Specifically, you can expect to be involved in the following: • Technical tasks: Improving real-time traffic tracking, deploying new ML models, and optimizing big data pipelines., • Collaboration: Working closely with Product, Data Science, and engineering teams to solve complex problems. SKILLS AND EXPERIENCE The successful Staff Engineer will have the following skills and experience: • 5+ years of Python engineering experience, with a focus on big data, ML, or adtech., • Deep hands-on expertise in Python and an understanding of JavaScript/TypeScript/React (even if you won’t write it daily)., • Experience with large-scale datasets, AWS (Redshift is a bonus), or other cloud platforms (GCP/Azure)., • Familiarity with ad platforms (Meta Marketing API, Google Ads API) is a huge plus., • A computer science/STEM degree is preferred, but strong self-taught candidates will be considered., • Thrives in fast-paced, high-autonomy environments—stable tenure and a proactive mindset are key., • Thrives in fast-paced, high-autonomy environments—stable tenure and a proactive mindset are key. BENEFITS The successful Staff Engineer will receive the following benefits: • £80,000–£110,000 salary (depending on location and experience), • Hybrid working policy: 2 days/week in-office (London/Manchester), • High-impact work: Shape the future of ad fraud detection and optimization., • Fast growth: Join a scale-up with a clear trajectory and work with cutting-edge ML and big data., • Twice-weekly production deployments: See your work make an immediate difference. HOW TO APPLY Please register your interest by sending your resume/CV to Joana Alves via the Apply link on this page.

About Turing: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in coding, reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L Role Overview: Turing is seeking a hands-on Machine Learning Senior Staff Engineer to lead cross-functional teams building and deploying cutting-edge LLM and ML systems. In this role, you’ll drive the full lifecycle of AI development — from research and large-scale model training to production deployment — while mentoring top engineers and collaborating closely with research and infrastructure leaders. You’ll combine technical depth in deep learning and MLOps with leadership in execution and strategy, ensuring that Turing’s AI initiatives deliver reliable, high-performance systems that translate research breakthroughs into measurable business impact. This position is ideal for leaders who are still comfortable coding, optimizing large-scale training pipelines, building collab notebooks that break the models and navigating the intersection of research, engineering, and product delivery. Roles & Responsibilities: • Lead and mentor a cross-functional team of ML engineers, data scientists, and MLOps professionals., • Oversee the full lifecycle of LLM and ML projects — from data collection to training, evaluation, and deployment., • Collaborate with Research, Product, and Infrastructure teams to define goals, milestones, and success metrics., • Provide technical direction on large-scale model training, fine-tuning, and distributed systems design., • Implement best practices in MLOps, model governance, experiment tracking, and CI/CD for ML., • Manage compute resources, budgets, and ensure compliance with data security and responsible AI standards., • Communicate progress, risks, and results to stakeholders and executives effectively., • Overlap of 6 hours with PST time zone is mandatory. Required Skills & Qualifications: • Strong background in Machine Learning, NLP, and modern deep learning architectures (Transformers, LLMs)., • Hands-on experience with frameworks such as PyTorch, TensorFlow, Hugging Face, or DeepSpeed, • Hands-on experience in Docker for Production deployment., • Proven experience managing teams delivering ML/LLM models in production environments., • Knowledge of distributed training, GPU/TPU optimization, and cloud platforms (AWS, GCP, Azure)., • Familiarity with MLOps tools like MLflow, Kubeflow, or Vertex AI for scalable ML pipelines., • Excellent leadership, communication, and cross-functional collaboration skills., • Bachelor’s or Master’s in Computer Science, Engineering, or related field (PhD preferred). Nice to Have: • Experience building Agentic applications, • Experience training or fine-tuning foundation models., • Contributions to open-source ML or LLM frameworks., • Understanding of Responsible AI, bias mitigation, and model interpretability. Perks of Freelancing With Turing: • Work in a fully remote environment, • Opportunity to work on cutting-edge AI projects with leading LLM companies Offer Details: • Commitments Required: At least 4 hours per day and minimum 20 hours per week with overlap of 4 hours with PST, • Employment type: Contractor assignment (no medical/paid leave), • Duration of contract: 2 months; [expected start date is next week], • Timezone : US PST ( 6 hours overlap required 12pm PST to 6pm PST) Evaluation Process (approximately 120 mins): • Two rounds of interviews (60 min technical + 60 min technical & cultural discussion) After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network. If you are interested in a software engineer role, please ___.

Machine Learning Research Engineer - LLM post-training/mid-training Our team is partnered with a materials discovery stealth venture based in San Francisco and London, led by former Oxford and Isomorphic Labs leaders in AI and experimental science. The team is pioneering large-scale language models that reason, adapt, and accelerate discovery workflows. They are combining experimental validation, synthetic data generation, and scalable infrastructure to push the boundaries of autonomous research. This is a rare chance to be part of the founding team, shaping technical direction and building systems that redefine how science is done. The Role • You will design and implement novel approaches for model adaptation and reasoning, exploring techniques that improve generalization, controllability, and scientific understanding., • This includes mid-training strategies, post-training alignment, and inference-time optimization for complex workflows., • You'll also develop new reasoning paradigms such as retrieval-augmented and tool-augmented approaches and build robust evaluation frameworks for applied scientific contexts. Qualifications: • PhD. or equivalent experience in Computer Science, Machine Learning, or a closely related discipline, • Practical experience working with LLM training pipelines, including pre-training, mid-training, or post-training stages, • Strong grasp of transformer architectures, optimization techniques, and representation learning principles, • Proficiency in Python and familiarity with major ML frameworks such as PyTorch, DeepSpeed, or JAX, • Knowledge of alignment and reasoning strategies, including in-context learning, chain-of-thought, tool integration, or retrieval-augmented approaches, • Ability to combine innovative research thinking with pragmatic engineering to deliver scalable, high-performance systems

SVP, AI and Computer Vision 📍 Europe or US (Hybrid / Remote) We’re partnering with a global technology leader building large-scale real-time tracking and vision systems that operate across data, video, and analytics platforms worldwide. The business is investing heavily in next-generation computer vision infrastructure — using advanced imaging, real-time inference, and automation to transform how live data is captured, processed, and delivered. As SVP, AI and Computer Vision, you’ll: • Lead global strategy and execution across computer vision, ML, and data engineering., • Scale world-class engineering and research teams across multiple regions., • Oversee the design, optimization, and deployment of real-time tracking and visual intelligence systems., • Collaborate with C-level stakeholders to translate technical innovation into commercial and product impact. Essential requirements: • Proven background leading large computer vision or real-time data engineering teams., • Expertise in object tracking, image/video processing, or large-scale ML deployment., • Strong technical leadership and cross-functional delivery at global scale., • Experience turning advanced R&D into production-grade systems. This is a high-visibility global leadership role, reporting directly to the executive board, with ownership of a critical innovation function driving the company’s next phase of growth.

💻: GIS Development 🏢: Leading Global Marine Company 🍃: Offshore Wind 📌: Remote - 1 trip per month to the office An established geoscience and offshore energy consultancy is looking for a Geospatial Developer to join its UK-based team, with opportunities to work from Newcastle, Aberdeen, Glasgow or London 🌍 This role is ideal for someone who enjoys turning complex spatial data into smart, scalable web applications. The Geospatial Developer will design, build and maintain geospatial tools that support offshore wind and energy projects, working closely with engineers, geoscientists and developers across disciplines. The role spans full-stack development, geospatial analysis and data engineering, from slick front ends to robust back ends, with plenty of opportunity to get involved in R&D, proposals and technical innovation 💡 What they’ll be doing: • Developing geospatial web applications (front end and back end) 💻, • Building and optimising spatial databases and data pipelines, • Automating geospatial workflows using Python and open-source tools, • Performing spatial and 3D analysis for offshore infrastructure projects, • Supporting containerised (Docker) environments and application testing, • Collaborating with multidisciplinary geoscience and engineering teams, • Contributing to reports, technical notes and business development What they’ll bring: • A degree in Computer Science, GIS, Geospatial Technology or similar, • Experience with Python, JavaScript, SQL, HTML and CSS, • Familiarity with geospatial platforms and libraries (e.g. ESRI, QGIS, GDAL, GeoPandas), • An interest in offshore, marine or renewable energy projects ⚡🌊, • A collaborative mindset, strong problem-solving skills and attention to detail This is a great opportunity for a geospatial professional looking to grow their technical skills, work on impactful energy projects and be part of a forward-thinking geoscience team 🚀

Global University Systems is building a modern AI platform to power how our universities recruit, teach, support, and serve students. The Director of AI will lead this transformation, turning promising ideas into production-grade AI solutions that create real value for students and staff. This role owns the AI roadmap end-to-end: from identifying high-impact use cases, to running rapid experiments, to scaling successful solutions across multiple Higher Education Institutions. What you’ll do: Set vision and strategy • Own and continually refine the AI initiatives portfolio and roadmap for the group., • Run a structured intake process for new ideas, assessing value, feasibility, data readiness, ethical risk, and compliance., • Run time-boxed PoCs (2–8 weeks) and MVPs (8–16 weeks) using Agile methods (Scrum or Kanban) with regular demos and retrospectives., • Build and lead cross-functional squads including Product Owner, Data Scientists, ML Engineers, Integration Engineers, Solution Architect, and domain experts from Admissions, Registry and Student Services., • Design experiments, test hypotheses, and iterate quickly, ensuring human-in-the-loop for critical decisions such as admissions triage or student risk flagging., • Take validated MVPs into production with robust architecture, integration patterns, security controls, SLAs, and operational runbooks., • Establish MLOps across the university environment, including model registry, CI/CD for ML, feature stores, monitoring for drift, and retraining policies., • Build reusable AI platform capabilities (e.g., orchestration, RAG services, prompt safety, connectors) that support multiple domains such as:, • Recruitment & Admissions: enquiry triage, lead scoring, document extraction, and decision support., • Student Records & Registry: data quality checks, anomaly detection, and predictive alerts for progression and retention., • Timetabling & Operations: demand forecasting, optimization support, and conflict detection., • Teaching & Learning: content summarization, tutoring assistants, accessibility tools, and feedback synthesis respecting academic integrity., • Student Support & Wellbeing: intelligent case routing, early warning signals, and proactive nudges designed with strong ethics and safeguarding., • Research Administration: grant discovery, compliance support, and metadata enrichment., • Implement a practical AI governance framework that includes a use case register, risk scoring, impact assessments, model documentation, and audit trails., • Ensure compliance with GDPR, accessibility standards (e.g., WCAG), information security policies, and emerging AI regulations., • Partner with Deans, Registry, Admissions, Student Services, IT, Legal and other stakeholders to align on priorities and rollout plans., • Communicate progress through clear dashboards and storytelling, highlighting wins and lessons learned to build momentum., • Lead RFPs and SOWs for AI vendors, data providers, and implementation partners, including evaluation of cost, performance, and scalability., • Track and optimize cloud and AI platform spend, balancing cost with value; negotiate campus-wide licensing where beneficial. What you bring: Education • Bachelor’s or Master’s degree in Data Science, Computer Science, Business Analytics, or a related discipline. Knowledge and skills Essential • Product and outcome mindset: frames problems as hypotheses, focuses on measurable impact, and is willing to stop or pivot when evidence is weak., • Delivery excellence: strong Agile practices, risk-based planning, and disciplined stage-gates from idea to production., • Technical fluency: able to bridge data science, engineering, security, and business stakeholders, and make informed technical decisions., • Responsible AI and data literacy: understands and embeds ethics, privacy, and accessibility by design., • Experience with major cloud and AI stacks such as Azure OpenAI / OpenAI, Azure ML, Databricks, Kubernetes, and Docker., • Familiarity with data platforms such as Azure Data Lake, Synapse/ADF, Delta Lake, and messaging platforms (e.g., event hubs, service bus)., • Exposure to MLOps and observability tools (e.g., MLflow/model registry, GitHub Actions, Prometheus/Grafana, Evidently AI)., • Knowledge of integrating with SIS (Banner/Workday Student), LMS (Moodle/Canvas), CRM (Salesforce), ERP (Oracle/Workday), and IdP (Azure AD)., • Comfort with collaboration and reporting tools such as Jira/Azure Boards, Confluence, and Power BI. Experience Essential • 6+ years in IT delivery, product, or program leadership roles, including at least 3 years leading AI/ML or advanced analytics initiatives end-to-end., • Proven track record running Agile PoCs and MVPs and scaling them into production within complex organizations., • Strong understanding of AI/ML techniques (e.g., classification, NLP, GenAI, RAG, prompt engineering), data pipelines, APIs, and microservices., • Hands-on experience with cloud platforms (Azure preferred; AWS or GCP also valued) and MLOps tools (e.g., MLflow, Azure ML, Databricks, SageMaker or Vertex) plus observability practices., • Familiarity with higher education processes and integrations across SIS, LMS, CRM, and ERP environments., • Knowledge of data privacy, accessibility, security, and Responsible AI in academic or similarly regulated contexts., • Experience designing or operating an AI platform or shared AI services used across multiple domains or business units., • Hands-on work with vector databases and retrieval pipelines (e.g., Azure AI Search, Pinecone) and guardrails for GenAI., • Background in enterprise architecture and integration patterns (event-driven, REST, GraphQL)., • Relevant certifications such as Agile/Scrum (PSM/CSM), Azure AI Engineer/DP-100, PMI-ACP/SAFe, or security/privacy certifications. If you are excited by the opportunity to shape the future of AI in higher education and deliver impact at scale, we encourage you to apply and join us on this journey.

Senior Cloud DevOps Engineer - Fully Remote (UK only) - Up to 85k High impact role. Modern AWS environment. Real engineering influence. Our global tech client builds advanced cloud and data platforms for large scale, distributed environments. This group is investing heavily in AWS, automation and data driven solutions, and they are hiring a Senior Cloud DevOps Engineer who wants ownership, autonomy and the chance to shape future cloud standards. This is an ideal opportunity for someone who enjoys solving complex engineering challenges and wants to work with a wide range of cloud, container and data technologies. Your core responsibilities Cloud Engineering Design, build and maintain AWS environments and ensure they meet industry security standards. DevOps Enablement Promote DevOps culture, automation thinking and strong engineering practice across the team. Security and Architecture Reviews Lead technical assessments, risk reviews and architectural improvements for data and cloud workloads. Infrastructure as Code Create reusable templates and patterns using Terraform and CloudFormation to support consistent cloud deployments. Cloud Operations and Administration Manage identity and access, support cloud integrations, analyse performance and recommend improvements to keep systems robust and resilient. Skills and experience required • Degree in computer science, engineering or a similar technical field., • Five or more years experience in Cloud DevOps, Cloud Architecture or Platform Engineering., • Strong understanding of AWS across compute, networking, identity and databases., • Solid experience with Terraform and CloudFormation., • Strong Python skills., • Confident with SQL, MySQL, Postgres and S3 based storage., • Comfortable with Linux and shell scripting., • Experience with Git, GitHub and CI or CD pipelines., • Strong analytical and problem solving mindset with the ability to collaborate in a fast paced environment., • Strong grasp of modern DevOps, cloud tooling and configuration management. Nice to have • AWS certifications., • Working knowledge of SOC 2, GDPR or related compliance requirements., • Networking certifications such as CCNA or CCNP., • Experience with Kafka, MQTT or other streaming technologies., • Hands on experience with serverless, ECS or EKS., • Agile or Scrum exposure., • Strong communication skills., • Interest in Data Engineering, AI or ML. Why this role stands out • Work with a mature AWS ecosystem that includes EKS, Lambdas, MWAA, Confluent and Timescale., • Help drive the cloud vision and influence standards, guardrails and best practice., • Join a collaborative team of software, systems and network engineers., • Build secure, scalable data and analytics platforms used across the organisation., • Make an impact in an environment that values engineering quality, automation and innovation. Why candidates choose this role • You gain ownership over cloud direction and standards., • You join a team that encourages learning, experimentation and the use of new technologies., • You work in an environment that values both independence and collaboration., • You build platforms that directly support real time analytics and high value data solutions.

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

We are looking for talented individuals with 1-3 years experience of working in a similar role to join our close-knit technical team. If you are looking for a varied, challenging and collaborative role to expand your technical expertise then this job is for you! You will actively participate in the designing, maintaining and upgrading services that are critical to the NHS and many healthcare organisations around the world. You will be working as a team to address the current challenges such as the rapid expansion of our mobile Apps and AI as we scale on an international level. You will also have the opportunity to travel internationally to scope out data centres, design and size new projects and join in on technical discussions at government level. Requirements 2:1 or above in a computer related degree Minimum of ABB/AAC at A-level including either Maths or IT Skills and Qualities Relational database knowledge with practical experience in SQL Server System administration, enhancements, configuration, system design and build in Windows environments Hardware knowledge or hands on experience of server components, investigation & problem resolution Networks Managing enterprise firewalls, switches and routers including knowledge of common network protocols Cyber Security Pen Testing, monitoring for potential threats, vulnerabilities and indicators of compromise Great problem solving skills An automation not repetition approach Benefits We have lots of fantastic benefits here at TPP. These include: Fantastic holiday entitlement Regular social events Opportunities to travel internationally Life insurance BUPA Health, Dental and Travel cover £300 birthday meal allowance TPBN1_UKTJ