Scrum Master Our client is a market leader in providing cashless catering, identity management and payment systems to the UK state education sector. Their education solutions are used in thousands of schools across the UK, helping them run efficient meal and nutritional programmes while reducing reliance on cash-based payments. The Role Working as part of the scrum team and reporting to the R&D Manager, this pivotal servant-leader role will ensure the delivery of high-quality software solutions that meet customer expectations and support continued business growth. You will champion agile processes within the development team and wider organisation, taking responsibility for running and improving agile ways of working. You will coach the development team to refine processes, promote accountability, transparency and continuous improvement. This is an established scrum environment with plenty of opportunity to grow, influence and shape the role. Although this position is remote, there will be a requirement to travel to the Birmingham or Edinburgh office when required. Key Responsibilities Challenge the status quo and drive a culture of continual improvement Mentor and coach engineering teams and stakeholders in agile practices Schedule and facilitate agile ceremonies Manage and resolve impediments to ensure sprint goals are met Work with Product Owners and the wider engineering team on backlog refinement and story estimation Manage release planning and ensure stakeholders are aligned and informed Produce sprint and team resourcing reports for senior management Ensure risks, issues, actions, change requests, decisions and dependencies are identified, communicated and managed effectively Work closely with technical functions including architecture, software development, testing, release management, database, network, platform and IT operations Apply an automation and AI-first mindset to streamline processes and save time Use and coach others on generative AI tools for backlog management, reporting and decision support Support the cultural shift towards effective AI usage within the department Skills and Experience Business domain knowledge in education or payment/financial services would be highly advantageous Knowledge of Agile, Lean and Design Thinking principles Experience analysing and documenting complex business processes Strong verbal and written communication skills Ability to build relationships across all levels of a business Proven experience working directly with end users and stakeholders Experience analysing and reporting on team data Personal Characteristics You will be collaborative, open, constructive and comfortable giving and receiving feedback. You will be proactive, team-focused and driven by continuous improvement. You will also bring strong emotional intelligence, good judgement and the ability to work effectively in group situations. Only candidates who are eligible to live and work in the UK need apply.
22/05/2026
Full time
Scrum Master Our client is a market leader in providing cashless catering, identity management and payment systems to the UK state education sector. Their education solutions are used in thousands of schools across the UK, helping them run efficient meal and nutritional programmes while reducing reliance on cash-based payments. The Role Working as part of the scrum team and reporting to the R&D Manager, this pivotal servant-leader role will ensure the delivery of high-quality software solutions that meet customer expectations and support continued business growth. You will champion agile processes within the development team and wider organisation, taking responsibility for running and improving agile ways of working. You will coach the development team to refine processes, promote accountability, transparency and continuous improvement. This is an established scrum environment with plenty of opportunity to grow, influence and shape the role. Although this position is remote, there will be a requirement to travel to the Birmingham or Edinburgh office when required. Key Responsibilities Challenge the status quo and drive a culture of continual improvement Mentor and coach engineering teams and stakeholders in agile practices Schedule and facilitate agile ceremonies Manage and resolve impediments to ensure sprint goals are met Work with Product Owners and the wider engineering team on backlog refinement and story estimation Manage release planning and ensure stakeholders are aligned and informed Produce sprint and team resourcing reports for senior management Ensure risks, issues, actions, change requests, decisions and dependencies are identified, communicated and managed effectively Work closely with technical functions including architecture, software development, testing, release management, database, network, platform and IT operations Apply an automation and AI-first mindset to streamline processes and save time Use and coach others on generative AI tools for backlog management, reporting and decision support Support the cultural shift towards effective AI usage within the department Skills and Experience Business domain knowledge in education or payment/financial services would be highly advantageous Knowledge of Agile, Lean and Design Thinking principles Experience analysing and documenting complex business processes Strong verbal and written communication skills Ability to build relationships across all levels of a business Proven experience working directly with end users and stakeholders Experience analysing and reporting on team data Personal Characteristics You will be collaborative, open, constructive and comfortable giving and receiving feedback. You will be proactive, team-focused and driven by continuous improvement. You will also bring strong emotional intelligence, good judgement and the ability to work effectively in group situations. Only candidates who are eligible to live and work in the UK need apply.
AI Models Lead Hybrid: Midlands-based 2-3 days in the office or remote contracts for candidates outside of 35 miles Paying up to £120,000 + bonus + Benefits Permanent Experis are delighted to be partnering with a highly successful and growing software organisation as they invest heavily in building a cutting-edge AI capability at the heart of their product suite. We are supporting them in the search for an AI Models Lead, a key foundational hire who will own the development, fine-tuning, and production delivery of domain-specific AI models within a large-scale programme. This is a rare opportunity to join at an early stage and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments. What You'll Be Doing Designing and leading the end-to-end model fine-tuning strategy, including SFT, LoRA/QLoRA, and optimisation approaches Selecting and evaluating base models (eg Mistral, Qwen, PHI, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models to support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models through to production environments, ensuring robustness, scalability, and performance Experience Required Proven experience fine-tuning machine learning/LLM models in production environments Strong track record of deploying AI models at scale and understanding real-world failure modes Hands-on experience with Generative AI/LLM architectures and frameworks Strong Python engineering capability and familiarity with ML tooling (eg HuggingFace, PEFT, TRL, W&B) Experience working in cloud environments (AWS preferred) Ability to operate as a player-coach, combining deep technical expertise with leadership Pragmatic mindset, comfortable working in ambiguous, evolving environments Excellent communication skills, with the ability to engage senior stakeholders and influence direction Why Join Opportunity to build and shape a core AI capability from the ground up Work on real-world AI use cases where accuracy and trust genuinely matter Highly visible role with direct exposure to senior leadership and strategic initiatives Join a business making significant long-term investment in AI-driven innovation If you're interested in learning more, please reach out to Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
22/05/2026
Full time
AI Models Lead Hybrid: Midlands-based 2-3 days in the office or remote contracts for candidates outside of 35 miles Paying up to £120,000 + bonus + Benefits Permanent Experis are delighted to be partnering with a highly successful and growing software organisation as they invest heavily in building a cutting-edge AI capability at the heart of their product suite. We are supporting them in the search for an AI Models Lead, a key foundational hire who will own the development, fine-tuning, and production delivery of domain-specific AI models within a large-scale programme. This is a rare opportunity to join at an early stage and build a fine-tuning capability from first principles, shaping how AI models are developed, evaluated, and deployed in real-world, regulated environments. What You'll Be Doing Designing and leading the end-to-end model fine-tuning strategy, including SFT, LoRA/QLoRA, and optimisation approaches Selecting and evaluating base models (eg Mistral, Qwen, PHI, Falcon) based on performance, cost, and use case Defining evaluation frameworks and standards to ensure models meet production-grade quality and reliability Building and scaling a suite of fine-tuned models to support multiple product use cases Owning experiment design and reproducibility, including tracking, benchmarking, and iteration cycles Working closely with data, domain and product teams to translate real-world requirements into model behaviour Leading, mentoring, and growing a team of ML Engineers while remaining hands-on technically Driving models through to production environments, ensuring robustness, scalability, and performance Experience Required Proven experience fine-tuning machine learning/LLM models in production environments Strong track record of deploying AI models at scale and understanding real-world failure modes Hands-on experience with Generative AI/LLM architectures and frameworks Strong Python engineering capability and familiarity with ML tooling (eg HuggingFace, PEFT, TRL, W&B) Experience working in cloud environments (AWS preferred) Ability to operate as a player-coach, combining deep technical expertise with leadership Pragmatic mindset, comfortable working in ambiguous, evolving environments Excellent communication skills, with the ability to engage senior stakeholders and influence direction Why Join Opportunity to build and shape a core AI capability from the ground up Work on real-world AI use cases where accuracy and trust genuinely matter Highly visible role with direct exposure to senior leadership and strategic initiatives Join a business making significant long-term investment in AI-driven innovation If you're interested in learning more, please reach out to Jacob Ferdinand at If you receive suspicious outreach claiming to be from us, please contact us via the ManpowerGroup website.
Senior C# Developer Hybrid Working - London - 2 days a week on site. Financial Services Lorien's leading banking client is looking for a Senior C# Developer to join them, working on a critical, high volume, transactional system. Contribute to the re-architecture and modernisation of the platform. This role is based in London. This role will be Via Umbrella. Working in a Hybrid Model of 2 day a week on site. Main skills needed- Delivers high quality code and system designs for the FX Deal Capture Platform Contributes to the re-architecture of the platform to meet business growth ambitions. Analysis of business and technical requirements Liaise with stakeholders, team members and other domain experts to capture and elaborate business requirements across domains/systems Accurate reporting to management regarding development initiatives and progress Follow-up on production issues. Deliver high quality software. Ensure that the systems are designed for performance and reliability in production. Essential Skills Degree level qualification (ideally in Computing or Engineering) Excellent Software Engineering skills Strong programming background with a particular emphasis on C#, .NET Core additional knowledge of C++ would be beneficial Domain expertise in a volume transactional system (FX, Equities or other financial transactions) Experience of a working with a range of business and IT stakeholders Experience of working with offshore development teams Experience of business-critical system development, testing and support Desirable Skills Experience and knowledge of the following technologies: Webservices JavaScript XML FTML Database - Oracle/SQL IBM MQ Competencies: Ability to liaise effectively with developers, business and other stakeholders Ability to work effectively as part of a formal project process. Strong analytical and interpersonal skills as well as reporting capabilities Strong communication skills Business oriented, positive, resilient, full of stamina with a clear focus on results and deliveries IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
22/05/2026
Contractor
Senior C# Developer Hybrid Working - London - 2 days a week on site. Financial Services Lorien's leading banking client is looking for a Senior C# Developer to join them, working on a critical, high volume, transactional system. Contribute to the re-architecture and modernisation of the platform. This role is based in London. This role will be Via Umbrella. Working in a Hybrid Model of 2 day a week on site. Main skills needed- Delivers high quality code and system designs for the FX Deal Capture Platform Contributes to the re-architecture of the platform to meet business growth ambitions. Analysis of business and technical requirements Liaise with stakeholders, team members and other domain experts to capture and elaborate business requirements across domains/systems Accurate reporting to management regarding development initiatives and progress Follow-up on production issues. Deliver high quality software. Ensure that the systems are designed for performance and reliability in production. Essential Skills Degree level qualification (ideally in Computing or Engineering) Excellent Software Engineering skills Strong programming background with a particular emphasis on C#, .NET Core additional knowledge of C++ would be beneficial Domain expertise in a volume transactional system (FX, Equities or other financial transactions) Experience of a working with a range of business and IT stakeholders Experience of working with offshore development teams Experience of business-critical system development, testing and support Desirable Skills Experience and knowledge of the following technologies: Webservices JavaScript XML FTML Database - Oracle/SQL IBM MQ Competencies: Ability to liaise effectively with developers, business and other stakeholders Ability to work effectively as part of a formal project process. Strong analytical and interpersonal skills as well as reporting capabilities Strong communication skills Business oriented, positive, resilient, full of stamina with a clear focus on results and deliveries IND_PC3 Guidant, Carbon60, Lorien & SRG - The Impellam Group Portfolio are acting as an Employment Business in relation to this vacancy.
Senior AI Researcher BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed. We are moving beyond the "generic AI" hype to solve the world's hardest physical engineering challenges in automotive, aerospace, and energy. We are looking for a Senior AI Researcher who balances scientific curiosity with the engineering discipline required to see models thrive in production environments. The Role As a Senior AI Researcher, you will be a core architect of our technical roadmap. This is not a "siloed" research role; you will lead the transition from theoretical breakthroughs in Physics based Deep Learning to robust, scalable systems used by world-class engineers. You will have the creative freedom to set research agendas while ensuring our models remain grounded in physical reality and industrial-scale performance. Key Responsibilities Architect Physics-AI Foundations: Lead the research and development of novel ML architectures (e.g., Transformers, GNNs, or Diffusion models) designed specifically to solve complex partial differential equations (PDEs) including aerodynamic simulations. Bridge Research & Production: Translate high-level mathematical concepts into clean, high-performance code. You won't just "throw models over the wall"; you will ensure they are optimized for inference and integrated into our production design platform. Advance Geometry Representation: Pioneer new ways to represent complex geometric design variations for efficient use in deep learning models. Strategic Leadership: Mentor junior researchers and engineers. Help define our internal research standards, reproducibility pipelines, and high-performance compute (HPC) infrastructure requirements. External Impact: Represent BeyondMath in the global AI community. Publish influential research at top-tier conferences (NeurIPS, ICML, ICLR) and position the company as the leader in "AI for Physics." Cross-Functional Collaboration: Partner with CFD specialists and software engineers to ensure our models respect physical constraints while maintaining thespeed advantages of neural networks. About You You are a rare hybrid: a scientist who loves the elegance of a theorem, but an engineer who gets a thrill from seeing a model successfully optimize a real-world turbine or airframe. You thrive in the ambiguity of a "greenfield" opportunity and have the grit to solve problems where no textbook solution exists. Essential Requirements: PhD or MSc in Computer Science, Physics, Mathematics, or a related quantitative field. 5+ years of post-grad experience in AI/ML research, with a demonstrable track record of models made it from the lab into production environments. Deep Technical Mastery: Expert-level proficiency in PyTorch, JAX, or TensorFlow, with a focus on building custom layers, loss functions, and optimization loops. Published Excellence: A strong record of high-quality publications in top-tier venues (e.g., NeurIPS, ICML, CVPR, or physics-specific AI journals). Systems Thinking: Experience with scalable training infrastructure, including distributed training across GPU clusters and data pipeline automation. Highly Desirable: Physics-ML Expertise: Experience with Physics-Informed Neural Networks (PINNs), Operator Learning (DeepONet/FNO), or Equivariant Neural Networks. Domain Knowledge: Familiarity with Aerodynamics, Fluid Dynamics, or Structural Mechanics. Engineering Rigor: Familiarity with C++, CUDA for low-level model optimization. Why Join Us? Full Ownership: You will have a direct seat at the table in shaping the future of a company redefining an entire industry. High Impact: Your work will directly accelerate the transition to sustainable energy and more efficient transport. Elite Team: Work alongside veterans from world-leading AI labs and engineering firms in a culture of "impact with integrity."
22/05/2026
Full time
Senior AI Researcher BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed. We are moving beyond the "generic AI" hype to solve the world's hardest physical engineering challenges in automotive, aerospace, and energy. We are looking for a Senior AI Researcher who balances scientific curiosity with the engineering discipline required to see models thrive in production environments. The Role As a Senior AI Researcher, you will be a core architect of our technical roadmap. This is not a "siloed" research role; you will lead the transition from theoretical breakthroughs in Physics based Deep Learning to robust, scalable systems used by world-class engineers. You will have the creative freedom to set research agendas while ensuring our models remain grounded in physical reality and industrial-scale performance. Key Responsibilities Architect Physics-AI Foundations: Lead the research and development of novel ML architectures (e.g., Transformers, GNNs, or Diffusion models) designed specifically to solve complex partial differential equations (PDEs) including aerodynamic simulations. Bridge Research & Production: Translate high-level mathematical concepts into clean, high-performance code. You won't just "throw models over the wall"; you will ensure they are optimized for inference and integrated into our production design platform. Advance Geometry Representation: Pioneer new ways to represent complex geometric design variations for efficient use in deep learning models. Strategic Leadership: Mentor junior researchers and engineers. Help define our internal research standards, reproducibility pipelines, and high-performance compute (HPC) infrastructure requirements. External Impact: Represent BeyondMath in the global AI community. Publish influential research at top-tier conferences (NeurIPS, ICML, ICLR) and position the company as the leader in "AI for Physics." Cross-Functional Collaboration: Partner with CFD specialists and software engineers to ensure our models respect physical constraints while maintaining thespeed advantages of neural networks. About You You are a rare hybrid: a scientist who loves the elegance of a theorem, but an engineer who gets a thrill from seeing a model successfully optimize a real-world turbine or airframe. You thrive in the ambiguity of a "greenfield" opportunity and have the grit to solve problems where no textbook solution exists. Essential Requirements: PhD or MSc in Computer Science, Physics, Mathematics, or a related quantitative field. 5+ years of post-grad experience in AI/ML research, with a demonstrable track record of models made it from the lab into production environments. Deep Technical Mastery: Expert-level proficiency in PyTorch, JAX, or TensorFlow, with a focus on building custom layers, loss functions, and optimization loops. Published Excellence: A strong record of high-quality publications in top-tier venues (e.g., NeurIPS, ICML, CVPR, or physics-specific AI journals). Systems Thinking: Experience with scalable training infrastructure, including distributed training across GPU clusters and data pipeline automation. Highly Desirable: Physics-ML Expertise: Experience with Physics-Informed Neural Networks (PINNs), Operator Learning (DeepONet/FNO), or Equivariant Neural Networks. Domain Knowledge: Familiarity with Aerodynamics, Fluid Dynamics, or Structural Mechanics. Engineering Rigor: Familiarity with C++, CUDA for low-level model optimization. Why Join Us? Full Ownership: You will have a direct seat at the table in shaping the future of a company redefining an entire industry. High Impact: Your work will directly accelerate the transition to sustainable energy and more efficient transport. Elite Team: Work alongside veterans from world-leading AI labs and engineering firms in a culture of "impact with integrity."
"The AI company that's revolutionizing Hollywood" Flawless is transforming Hollywood with assistive AI. Our tools empower filmmakers to edit, localize, and refine performances while preserving artistic intent. Designed to support, not replace, artists, our technology expands what is possible on screen and gives creators freedom to tell stories with greater impact and reach audiences in new ways. From enabling seamless multilingual releases to eliminating the need for costly reshoots, Flawless solves critical challenges that slow down productions and limit distribution. We are also setting the standard for ethical AI in entertainment. Our Artistic Rights Treasury (A.R.T.) is a rights management solution that protects artists and rights holders, ensuring that innovation moves forward with transparency and respect for creative ownership. What we are building: Research Services builds the infrastructure that enables scientists to train, evaluate, and deploy models at scale. Building the core of Hollywood AI transformation. The team sits at the cutting edge of data systems, machine learning, and high-performance compute-owning the full stack from data ingestion and curation through to distributed training and production inference. This role centers on building and optimizing systems for large-scale multimodal datasets (video, embeddings, metadata), making them fast, reliable, and ready for both research and production. Your Impact: Data Platform for ML Build and evolve a data platform (LanceDB, DataFusion, SQL + vector search) used to curate large multimodal datasets Design systems that index and process thousands of videos using ML pipelines (face detection, quality assessment, tracking, etc.) Optimize data access patterns for training (Arrow, Parquet, Iceberg) ML Training Infrastructure Improve training performance across single-node and multi-node setups Work with PyTorch and Ray to scale data loading and training pipelines Ensure preprocessing and postprocessing pipelines are efficient and reproducible Evaluation & Experimentation Systems Build systems to collect, store, and analyze model outputs (Parquet / Iceberg) Develop tools for dataset inspection and model comparison (including video-based workflows) Model Registry & Lifecycle Design and maintain infrastructure for model versioning, experimentation, and promotion to production Inference Systems Own and optimize inference pipelines using Triton Define request protocols and build model ensembles Improve performance and reliability of production inference You'll Thrive here if: You have a track record of building ML infrastructure or data platforms-not just training models Strong Python backend expertise (e.g. FastAPI or similar) A deep intuition for data pipelines and performance trade-offs (I/O vs compute, batching, memory layout) Solid hands on work with PyTorch (training pipelines, data loading, preprocessing) Practical experience with distributed systems (Ray, DDP, or similar) Proven ability to work with large scale datasets (TB scale or high throughput pipelines) Familiarity with columnar data formats (Arrow, Parquet, Iceberg, or similar) Nice to have: Exposure to video or media pipelines (FFmpeg, encoding, frame extraction) Familiarity with vector search or embedding systems Experience with Triton or production inference systems Frontend experience (React) for building internal tools Why work at Flawless? You will be working in an environment based on trust, autonomy and collaboration, and this is a great opportunity for someone who wants to be part of a growing company in its most exciting stage of development. You can play a part in shaping the future of a company that's caring, creative and collaborative. In addition to this, you'll also receive: Autonomy A hybrid working environment Competitive Salary All permanent employees receive generous stock options I don't meet all the listed requirements-should I still apply? Absolutely! Research shows that women and underrepresented groups often hesitate to apply unless they meet every qualification, but at Flawless, we actively work to break down those barriers. We believe diverse perspectives, experiences, and backgrounds make us stronger, and we are committed to supporting and elevating underrepresented talent. If you're excited about the role, share our values, and believe you can contribute meaningfully, we encourage you to apply-even if you don't meet every single requirement. Your unique skills and perspective matter, and we'd love to hear from you ️
22/05/2026
Full time
"The AI company that's revolutionizing Hollywood" Flawless is transforming Hollywood with assistive AI. Our tools empower filmmakers to edit, localize, and refine performances while preserving artistic intent. Designed to support, not replace, artists, our technology expands what is possible on screen and gives creators freedom to tell stories with greater impact and reach audiences in new ways. From enabling seamless multilingual releases to eliminating the need for costly reshoots, Flawless solves critical challenges that slow down productions and limit distribution. We are also setting the standard for ethical AI in entertainment. Our Artistic Rights Treasury (A.R.T.) is a rights management solution that protects artists and rights holders, ensuring that innovation moves forward with transparency and respect for creative ownership. What we are building: Research Services builds the infrastructure that enables scientists to train, evaluate, and deploy models at scale. Building the core of Hollywood AI transformation. The team sits at the cutting edge of data systems, machine learning, and high-performance compute-owning the full stack from data ingestion and curation through to distributed training and production inference. This role centers on building and optimizing systems for large-scale multimodal datasets (video, embeddings, metadata), making them fast, reliable, and ready for both research and production. Your Impact: Data Platform for ML Build and evolve a data platform (LanceDB, DataFusion, SQL + vector search) used to curate large multimodal datasets Design systems that index and process thousands of videos using ML pipelines (face detection, quality assessment, tracking, etc.) Optimize data access patterns for training (Arrow, Parquet, Iceberg) ML Training Infrastructure Improve training performance across single-node and multi-node setups Work with PyTorch and Ray to scale data loading and training pipelines Ensure preprocessing and postprocessing pipelines are efficient and reproducible Evaluation & Experimentation Systems Build systems to collect, store, and analyze model outputs (Parquet / Iceberg) Develop tools for dataset inspection and model comparison (including video-based workflows) Model Registry & Lifecycle Design and maintain infrastructure for model versioning, experimentation, and promotion to production Inference Systems Own and optimize inference pipelines using Triton Define request protocols and build model ensembles Improve performance and reliability of production inference You'll Thrive here if: You have a track record of building ML infrastructure or data platforms-not just training models Strong Python backend expertise (e.g. FastAPI or similar) A deep intuition for data pipelines and performance trade-offs (I/O vs compute, batching, memory layout) Solid hands on work with PyTorch (training pipelines, data loading, preprocessing) Practical experience with distributed systems (Ray, DDP, or similar) Proven ability to work with large scale datasets (TB scale or high throughput pipelines) Familiarity with columnar data formats (Arrow, Parquet, Iceberg, or similar) Nice to have: Exposure to video or media pipelines (FFmpeg, encoding, frame extraction) Familiarity with vector search or embedding systems Experience with Triton or production inference systems Frontend experience (React) for building internal tools Why work at Flawless? You will be working in an environment based on trust, autonomy and collaboration, and this is a great opportunity for someone who wants to be part of a growing company in its most exciting stage of development. You can play a part in shaping the future of a company that's caring, creative and collaborative. In addition to this, you'll also receive: Autonomy A hybrid working environment Competitive Salary All permanent employees receive generous stock options I don't meet all the listed requirements-should I still apply? Absolutely! Research shows that women and underrepresented groups often hesitate to apply unless they meet every qualification, but at Flawless, we actively work to break down those barriers. We believe diverse perspectives, experiences, and backgrounds make us stronger, and we are committed to supporting and elevating underrepresented talent. If you're excited about the role, share our values, and believe you can contribute meaningfully, we encourage you to apply-even if you don't meet every single requirement. Your unique skills and perspective matter, and we'd love to hear from you ️
Job Description Job Role: Data Science Associate Manager Location: London/Manchester/Edinburgh/Newcastle/Birmingham Career Level: Manager - ML8 We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: The Data & AI team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. As a Data Science Associate Manager, you will: Shape Customer and Marketing Experiences w/ Generative AI solutions Be at the forefront of the industry - creating, owning, and making it a reality for clients looking to better serve their connected customers and operate always on enterprises. Contribute to initiatives that use data science and generative AI to improve customer and marketing experiences for clients. Support the development of data platforms, data products, and capabilities that empower analytics and AI teams. Assist senior leaders in shaping elements of the strategic direction for practice's data science and data engineering ecosystem. Help assess generative AI proposals by reviewing feasibility, data requirements, model considerations, and integration with existing technology stacks. Collaborate with digital teams, architects, and stakeholders to support & lead the design of enterprise AI and data science solutions. Deliver Real World Business Impact Drive and support real world solutions into production that drive measurable business value for our clients. Work alongside global teams to collaborate and deliver the best solutions for clients. Grow Your Expertise and Career Become an integral part of our team with the credibility, expertise, and insight clients depend on. Develop your skills with our world class training programmes. Drive your career progression through our structured career development programs. Work with industry partners to expand your exposure to modern data science tools and enterprise AI technologies. Collaborate with Global Brands Work with leading global brands and household names on impactful data science and AI use cases. Support the creation of reusable data science assets, feature stores, model templates, and best practice frameworks. Consult on complex analyses and advanced machine learning methods. Help prepare communication materials and support discussions with senior client leaders and technical teams. Contribute to shaping AI strategies and supporting delivery of LLM based and data science driven solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. Qualification In this role you will: Define and Deliver Customer Centric Data Strategies Translate business needs into data science and analytics requirements, supporting the development of scalable data pipelines and model ready datasets. Work with senior architects and data science leaders to help define AI and data strategies aligned with client objectives. Contribute to the development and delivery of LLM based and ML based solutions that improve customer and marketing outcomes. Lead Generative AI Innovation and Prototyping Support early stage generative AI initiatives, helping design PoCs, prototypes, and model evaluation frameworks. Act as a knowledgeable resource on data science aspects of generative AI, collaborating with digital, platform, and governance stakeholders. Deploy and Scale AI Solutions Drive model deployment activities, including containerization, testing, performance monitoring, and MLOps processes. Help utilise cloud platforms (AWS, Azure, GCP) for scalable data science and generative AI deployments. Work with engineers to support the deployment of machine learning algorithms that deliver tangible business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications, ensuring ethical and secure AI deployment. Evaluate generative AI solutions across teams, identifying technical risks such as debt accumulation and overlapping initiatives. Promote Innovation and Best Practices Contribute to the adoption of modern data science and AI technologies, including ML pipelines, feature engineering automation, and advanced data processing. Drive the creation of reusable data science assets, frameworks, and best practices. Assist in applying advanced machine learning techniques to solve complex business challenges. Lead Across Industries and Teams Support the delivery of AI driven customer and marketing transformations across industries. Help communicate insights and contribute to strategic discussions with clients and internal teams. Share data science knowledge and collaborating on best practices practice. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
22/05/2026
Full time
Job Description Job Role: Data Science Associate Manager Location: London/Manchester/Edinburgh/Newcastle/Birmingham Career Level: Manager - ML8 We Are: Accenture Song accelerates growth and value for our clients through sustained customer relevance. Our capabilities span ideation to execution: growth, product and experience design; technology and experience platforms; creative, media and marketing strategy; and campaign, content and channel orchestration. With strong client relationships and deep industry expertise, we help our clients operate at the speed of life through the unlimited potential of imagination, technology and intelligence. Visit us at: The Data & AI team: The Data and AI revolution is changing everything. It's everywhere - transforming how we work and play. Join Accenture and help transform leading organisations and communities around the world. Accenture Data and AI is driving these exciting changes and bringing them to life across 40 industries in more than 120 countries. The sheer scale of our capabilities and client engagements and the way we collaborate with the ecosystem, operate and deliver value provides an unparalleled opportunity to grow and advance. Accenture's Data and AI practice covers the range of Data and AI skills, from Strategy, Data Science, Data Architecture, AI Engineering and Visual Insights. When combined with Accenture's broader Strategy and Consulting practice, we are able to bring together the unique ability to drive end to end business change through the application of Data and AI. You'll learn, grow and advance in an innovative culture that thrives on shared success, diverse ways of thinking and enables boundaryless opportunities that can drive your career in new and exciting ways. If you're looking for a challenging career working in a vibrant environment with access to training and a global network of experts, this could be the role for you. As part of our global team, you'll be working with cutting edge technologies and will have the opportunity to develop a wide range of new skills on the job. As a Data Science Associate Manager, you will: Shape Customer and Marketing Experiences w/ Generative AI solutions Be at the forefront of the industry - creating, owning, and making it a reality for clients looking to better serve their connected customers and operate always on enterprises. Contribute to initiatives that use data science and generative AI to improve customer and marketing experiences for clients. Support the development of data platforms, data products, and capabilities that empower analytics and AI teams. Assist senior leaders in shaping elements of the strategic direction for practice's data science and data engineering ecosystem. Help assess generative AI proposals by reviewing feasibility, data requirements, model considerations, and integration with existing technology stacks. Collaborate with digital teams, architects, and stakeholders to support & lead the design of enterprise AI and data science solutions. Deliver Real World Business Impact Drive and support real world solutions into production that drive measurable business value for our clients. Work alongside global teams to collaborate and deliver the best solutions for clients. Grow Your Expertise and Career Become an integral part of our team with the credibility, expertise, and insight clients depend on. Develop your skills with our world class training programmes. Drive your career progression through our structured career development programs. Work with industry partners to expand your exposure to modern data science tools and enterprise AI technologies. Collaborate with Global Brands Work with leading global brands and household names on impactful data science and AI use cases. Support the creation of reusable data science assets, feature stores, model templates, and best practice frameworks. Consult on complex analyses and advanced machine learning methods. Help prepare communication materials and support discussions with senior client leaders and technical teams. Contribute to shaping AI strategies and supporting delivery of LLM based and data science driven solutions. Operate across multiple industries and functions. Develop others by bringing your unique knowledge and skillsets to the wider practice. Qualification In this role you will: Define and Deliver Customer Centric Data Strategies Translate business needs into data science and analytics requirements, supporting the development of scalable data pipelines and model ready datasets. Work with senior architects and data science leaders to help define AI and data strategies aligned with client objectives. Contribute to the development and delivery of LLM based and ML based solutions that improve customer and marketing outcomes. Lead Generative AI Innovation and Prototyping Support early stage generative AI initiatives, helping design PoCs, prototypes, and model evaluation frameworks. Act as a knowledgeable resource on data science aspects of generative AI, collaborating with digital, platform, and governance stakeholders. Deploy and Scale AI Solutions Drive model deployment activities, including containerization, testing, performance monitoring, and MLOps processes. Help utilise cloud platforms (AWS, Azure, GCP) for scalable data science and generative AI deployments. Work with engineers to support the deployment of machine learning algorithms that deliver tangible business value. Ensure Responsible and Ethical AI Collaborate with cloud vendors to integrate Responsible AI principles and standards into LLM evaluations and applications, ensuring ethical and secure AI deployment. Evaluate generative AI solutions across teams, identifying technical risks such as debt accumulation and overlapping initiatives. Promote Innovation and Best Practices Contribute to the adoption of modern data science and AI technologies, including ML pipelines, feature engineering automation, and advanced data processing. Drive the creation of reusable data science assets, frameworks, and best practices. Assist in applying advanced machine learning techniques to solve complex business challenges. Lead Across Industries and Teams Support the delivery of AI driven customer and marketing transformations across industries. Help communicate insights and contribute to strategic discussions with clients and internal teams. Share data science knowledge and collaborating on best practices practice. Locations London Equal Employment Opportunity Statement All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. Accenture is committed to providing veteran employment opportunities to our service men and women. Please read Accenture's Recruiting and Hiring Statement for more information on how we process your data during the Recruiting and Hiring process. About Accenture We work with one shared purpose: to deliver on the promise of technology and human ingenuity. Every day, more than 775,000 of us help our stakeholders continuously reinvent. Together, we drive positive change and deliver value to our clients, partners, shareholders, communities, and each other. We believe that delivering value requires innovation, and innovation thrives in an inclusive and diverse environment. We actively foster a workplace free from bias, where everyone feels a sense of belonging and is respected and empowered to do their best work. At Accenture, we see well being holistically, supporting our people's physical, mental, and financial health. We also provide opportunities to keep skills relevant through certifications, learning, and diverse work experiences. We're proud to be consistently recognized as one of the World's Best Workplaces . Join Accenture to work at the heart of change. Visit us at .
A leading technology firm in Manchester seeks a Staff Information Developer to lead content projects in Media and ML Engineering. This role involves mentoring a team, producing user documentation, and collaborating with cross-functional teams. Candidates should have 5+ years of writing experience, excellent communication skills, and a desire to work with innovative technologies. The position supports hybrid work arrangements and encourages professional growth through extensive resources and training opportunities.
22/05/2026
Full time
A leading technology firm in Manchester seeks a Staff Information Developer to lead content projects in Media and ML Engineering. This role involves mentoring a team, producing user documentation, and collaborating with cross-functional teams. Candidates should have 5+ years of writing experience, excellent communication skills, and a desire to work with innovative technologies. The position supports hybrid work arrangements and encourages professional growth through extensive resources and training opportunities.
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. Job Title: Lead Data Engineer Company Description: LightWork AI - VC-backed AI startup building the property management operating system Job Description: As the first senior data hire at LightWork AI, you will architect the data backbone for Felicity, an AI assistant automating 80-90% of property management workflows. You will design scalable pipelines, vector databases, and ML infrastructure, moving the company toward revenue in 2026 within a £33B market undergoing massive structural automation. Location: London, UK Why this role is remarkable: Rare opportunity to join as the foundational data lead, owning the entire architecture and strategy for a high-growth AI startup with 14,000 units already in pilot. Work directly under the Head of Engineering, Spyridon Katsoulis, who previously scaled a 140-person data department and led a $35M Series B. High-impact environment where your work directly enables an AI product that automates 75% of administrative tasks in a massive, underserved industry. What you will do: Architect and build scalable real-time and batch data pipelines to support core AI products and operational workloads. Design and optimize systems for vector search, retrieval-augmented generation (RAG), and machine learning data workflows. Establish engineering standards for data reliability, observability, and governance while mentoring the future data team as the company scales. The ideal candidate: 7+ years of experience in data or backend engineering with a proven track record of building distributed data systems from scratch. Deep technical proficiency in Python and hands-on experience with PostgreSQL, NoSQL, and vector databases like Qdrant or Milvus. Strong architectural thinker who thrives in fast-moving startup environments and has experience with modern frameworks like Airflow, Kafka, or Spark. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Visit our website. Click 'Talk to Jack'. Talk to Jack so he can understand your experience and ambitions. Jack will make sure Jill (the AI agent working for the company) considers you for this role. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
22/05/2026
Full time
This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network. The next step is to speak to Jack. Job Title: Lead Data Engineer Company Description: LightWork AI - VC-backed AI startup building the property management operating system Job Description: As the first senior data hire at LightWork AI, you will architect the data backbone for Felicity, an AI assistant automating 80-90% of property management workflows. You will design scalable pipelines, vector databases, and ML infrastructure, moving the company toward revenue in 2026 within a £33B market undergoing massive structural automation. Location: London, UK Why this role is remarkable: Rare opportunity to join as the foundational data lead, owning the entire architecture and strategy for a high-growth AI startup with 14,000 units already in pilot. Work directly under the Head of Engineering, Spyridon Katsoulis, who previously scaled a 140-person data department and led a $35M Series B. High-impact environment where your work directly enables an AI product that automates 75% of administrative tasks in a massive, underserved industry. What you will do: Architect and build scalable real-time and batch data pipelines to support core AI products and operational workloads. Design and optimize systems for vector search, retrieval-augmented generation (RAG), and machine learning data workflows. Establish engineering standards for data reliability, observability, and governance while mentoring the future data team as the company scales. The ideal candidate: 7+ years of experience in data or backend engineering with a proven track record of building distributed data systems from scratch. Deep technical proficiency in Python and hands-on experience with PostgreSQL, NoSQL, and vector databases like Qdrant or Milvus. Strong architectural thinker who thrives in fast-moving startup environments and has experience with modern frameworks like Airflow, Kafka, or Spark. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Visit our website. Click 'Talk to Jack'. Talk to Jack so he can understand your experience and ambitions. Jack will make sure Jill (the AI agent working for the company) considers you for this role. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.
Life at UiPath The people at UiPath believe in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care-about each other, about UiPath, and about our larger purpose. Could that be you? The Role Bringing AI decisions alive for our users is the role of our Product Designers. You'll be working predominantly on researching, designing and helping to craft new and exciting experiences for our suite of AI products. You'll join a strong cross-functional team of experienced product managers, product designers and technical specialists including machine learning (ML) engineers, data engineers and software engineers. In this role, you'll have the opportunity to shape some of our most important products and directly impact how our customers operate their businesses using AI. The Team As a Product Designer, you'll join the Product organisation within Peak. This is a multidisciplinary product team full of smart, diverse and inquisitive people on a mission to create a ground-breaking product. You will join the Product team and will need to collaborate right across Peak, from data science to customer success to sales to advocate for the user Key Responsibilities: Deliver excellent design - You will need to become an expert in our customer's problems. You'll lead/participate in research to understand our customers' needs. You'll use your expertise in both UX and UI to partner with the rest of your team and deliver quality, polished outcomes for our customers. Collaborate broadly - As a SaaS business in the fast-moving AI space, we need to stay flexible to our customer needs. This means you'll need to work closely with customers, product managers, engineers, commercial teams and other stakeholders to define design strategies that align with business objectives, user needs and technological considerations. You'll lend your expertise to our delivery teams when their needs align with broader product requirements. Develop customer empathy - You will need to become an expert in our customer's problems. You'll lead/participate in research to understand our customers' needs. You'll use your expertise to partner with the rest of your team to discover and define customer problems, prioritising key issues as you go. Always testing and validating design concepts with users. Own design standards - We have developed design systems and associated components to improve the quality and consistency across products. As a member of the team, you'll need to actively support the maintenance and development of these systems alongside your fellow Product Designers. Know your craft - You'll be joining a dynamic team of experts and you'll need to be a strong voice for best practices around your craft, from tools and user research, to accessibility and systems thinking, and you'll need to continually keep on the cutting edge of the product design universe. Skills & Experience We are building a world-class product team in the UK and India and are looking for a first-principles thinker with excellent design skills, and the ambition to work on a cutting-edge product. You'll need: Strong experience of delivering both UI and UX for B2B software products. Understanding and application of design thinking principles The ability to empathise with user feedback and turn those into design solutions. Practical experience with UX research tools and processes Top class practical product design skills and experience with common design tools. We use Figma. Passionate about good design, with great attention to detail, quality and accuracy. Strong communication skills. Able to engage, empathise and collaborate with others. Great storyteller: you'll need to rationalise your design decisions and our wider product decisions by taking your stakeholders on the journey with you. Proactive and self-motivated mindset. Excellent time management skills. A naturally inquisitive and problem-solving mindset Advantageous Skills and Experience Experience in a B2B start-up or scale-up environment, take new products from concept to market Worked in an agile product development environment previously. A design qualification (degree, qualification or online course). Any familiarity with the technology we use (AI, Gen AI, data analytics cloud tech) or the industries we serve (retail, CPG, manufacturing) is advantageous, but not essential. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
22/05/2026
Full time
Life at UiPath The people at UiPath believe in the transformative power of automation to change how the world works. We're committed to creating category-leading enterprise software that unleashes that power. To make that happen, we need people who are curious, self-propelled, generous, and genuine. People who love being part of a fast-moving, fast-thinking growth company. And people who care-about each other, about UiPath, and about our larger purpose. Could that be you? The Role Bringing AI decisions alive for our users is the role of our Product Designers. You'll be working predominantly on researching, designing and helping to craft new and exciting experiences for our suite of AI products. You'll join a strong cross-functional team of experienced product managers, product designers and technical specialists including machine learning (ML) engineers, data engineers and software engineers. In this role, you'll have the opportunity to shape some of our most important products and directly impact how our customers operate their businesses using AI. The Team As a Product Designer, you'll join the Product organisation within Peak. This is a multidisciplinary product team full of smart, diverse and inquisitive people on a mission to create a ground-breaking product. You will join the Product team and will need to collaborate right across Peak, from data science to customer success to sales to advocate for the user Key Responsibilities: Deliver excellent design - You will need to become an expert in our customer's problems. You'll lead/participate in research to understand our customers' needs. You'll use your expertise in both UX and UI to partner with the rest of your team and deliver quality, polished outcomes for our customers. Collaborate broadly - As a SaaS business in the fast-moving AI space, we need to stay flexible to our customer needs. This means you'll need to work closely with customers, product managers, engineers, commercial teams and other stakeholders to define design strategies that align with business objectives, user needs and technological considerations. You'll lend your expertise to our delivery teams when their needs align with broader product requirements. Develop customer empathy - You will need to become an expert in our customer's problems. You'll lead/participate in research to understand our customers' needs. You'll use your expertise to partner with the rest of your team to discover and define customer problems, prioritising key issues as you go. Always testing and validating design concepts with users. Own design standards - We have developed design systems and associated components to improve the quality and consistency across products. As a member of the team, you'll need to actively support the maintenance and development of these systems alongside your fellow Product Designers. Know your craft - You'll be joining a dynamic team of experts and you'll need to be a strong voice for best practices around your craft, from tools and user research, to accessibility and systems thinking, and you'll need to continually keep on the cutting edge of the product design universe. Skills & Experience We are building a world-class product team in the UK and India and are looking for a first-principles thinker with excellent design skills, and the ambition to work on a cutting-edge product. You'll need: Strong experience of delivering both UI and UX for B2B software products. Understanding and application of design thinking principles The ability to empathise with user feedback and turn those into design solutions. Practical experience with UX research tools and processes Top class practical product design skills and experience with common design tools. We use Figma. Passionate about good design, with great attention to detail, quality and accuracy. Strong communication skills. Able to engage, empathise and collaborate with others. Great storyteller: you'll need to rationalise your design decisions and our wider product decisions by taking your stakeholders on the journey with you. Proactive and self-motivated mindset. Excellent time management skills. A naturally inquisitive and problem-solving mindset Advantageous Skills and Experience Experience in a B2B start-up or scale-up environment, take new products from concept to market Worked in an agile product development environment previously. A design qualification (degree, qualification or online course). Any familiarity with the technology we use (AI, Gen AI, data analytics cloud tech) or the industries we serve (retail, CPG, manufacturing) is advantageous, but not essential. Maybe you don't tick all the boxes above-but still think you'd be great for the job? Go ahead, apply anyway. Please. Because we know that experience comes in all shapes and sizes-and passion can't be learned. Many of our roles allow for flexibility in when and where work gets done. Depending on the needs of the business and the role, the number of hybrid, office-based, and remote workers will vary from team to team. Applications are assessed on a rolling basis and there is no fixed deadline for this requisition. The application window may change depending on the volume of applications received or may close immediately if a qualified candidate is selected. We value a range of diverse backgrounds, experiences and ideas. We pride ourselves on our diversity and inclusive workplace that provides equal opportunities to all persons regardless of age, race, color, religion, sex, sexual orientation, gender identity, and expression, national origin, disability, neurodiversity, military and/or veteran status, or any other protected classes. Additionally, UiPath provides reasonable accommodations for candidates on request and respects applicants' privacy rights. To review these and other legal disclosures, visit our privacy policy.
Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Senior Data Engineer We're hiring a Senior Data Engineer to join Synthesia and take ownership of our core data systems. You'll be responsible for designing and maintaining scalable pipelines, optimising data models, and ensuring high data quality and governance standards. What you'll do at Synthesia: Architect and scale robust, end-to-end data pipelines that ingest and transform complex semi-structured and structured data into our Snowflake data warehouse. Own the evolution of our dbt project - implementing modular modelling patterns and other best practices to ensure a "single source of truth" for the entire organisation. Manage platform infrastructure in Snowflake, AWS and other tools. Continuously optimise warehouse performance and cost by diagnosing bottlenecks, tuning inefficient queries, and improving how compute resources are used as we scale. Bridge the gap between experimental data science workflows and production, building the infrastructure and orchestration needed to deploy and monitor batch ML jobs. Drive best practices in data security, governance, and compliance, particularly with regards to AI. Partner with cross-functional stakeholders to understand data requirements and translate them into technical solutions. What we're looking for: 5+ years of experience as a Data Engineer or in a closely related role, with a proven track record of building and operating production data systems. Experience working in an early-stage or scaling data function. You're comfortable taking ownership and wearing multiple hats when needed. Strong foundations in software engineering and data modelling best practices, with an ability to design systems that are maintainable, scalable, and easy for others to build on. Deep expertise in SQL, and solid experience using Python or similar languages to build data pipelines, tooling, and orchestration (Airflow). Hands on experience managing cloud infrastructure using infrastructure-as-code (e.g. Terraform) on AWS, GCP, or similar platforms. A pragmatic approach to data platform design, with an eye for performance, cost efficiency, and operational reliability. Excellent communication skills: you can work effectively with technical and non-technical stakeholders to gather requirements, explain trade-offs and communicate data team needs. A product-oriented mindset, with an understanding of how data can shape decision making and accelerate company growth.
22/05/2026
Full time
Synthesia is the world's leading AI video platform for business, used by over 90% of the Fortune 100. Founded in 2017, the company is headquartered in London, with offices and teams across Europe and the US. As AI continues to shape the way we live and work, Synthesia develops products to enhance visual communication and enterprise skill development, helping people work better and stay at the center of successful organizations. Following our recent Series E funding round, where we raised $200 million, our valuation stands at $4 billion. Our total funding exceeds $530 million from premier investors including Accel, NVentures (Nvidia's VC arm), Kleiner Perkins, GV, and Evantic Capital, alongside the founders and operators of Stripe, Datadog, Miro, and Webflow. Senior Data Engineer We're hiring a Senior Data Engineer to join Synthesia and take ownership of our core data systems. You'll be responsible for designing and maintaining scalable pipelines, optimising data models, and ensuring high data quality and governance standards. What you'll do at Synthesia: Architect and scale robust, end-to-end data pipelines that ingest and transform complex semi-structured and structured data into our Snowflake data warehouse. Own the evolution of our dbt project - implementing modular modelling patterns and other best practices to ensure a "single source of truth" for the entire organisation. Manage platform infrastructure in Snowflake, AWS and other tools. Continuously optimise warehouse performance and cost by diagnosing bottlenecks, tuning inefficient queries, and improving how compute resources are used as we scale. Bridge the gap between experimental data science workflows and production, building the infrastructure and orchestration needed to deploy and monitor batch ML jobs. Drive best practices in data security, governance, and compliance, particularly with regards to AI. Partner with cross-functional stakeholders to understand data requirements and translate them into technical solutions. What we're looking for: 5+ years of experience as a Data Engineer or in a closely related role, with a proven track record of building and operating production data systems. Experience working in an early-stage or scaling data function. You're comfortable taking ownership and wearing multiple hats when needed. Strong foundations in software engineering and data modelling best practices, with an ability to design systems that are maintainable, scalable, and easy for others to build on. Deep expertise in SQL, and solid experience using Python or similar languages to build data pipelines, tooling, and orchestration (Airflow). Hands on experience managing cloud infrastructure using infrastructure-as-code (e.g. Terraform) on AWS, GCP, or similar platforms. A pragmatic approach to data platform design, with an eye for performance, cost efficiency, and operational reliability. Excellent communication skills: you can work effectively with technical and non-technical stakeholders to gather requirements, explain trade-offs and communicate data team needs. A product-oriented mindset, with an understanding of how data can shape decision making and accelerate company growth.
A cutting-edge AI startup in London is seeking a Lead Data Engineer to be the first senior data hire. You will architect scalable pipelines and ML infrastructure, driving automation in the property management sector. This role offers strong growth potential, working under experienced leadership and impacting a massive industry with your technical expertise. Ideal candidates will have substantial experience in data engineering, particularly with Python and distributed systems.
22/05/2026
Full time
A cutting-edge AI startup in London is seeking a Lead Data Engineer to be the first senior data hire. You will architect scalable pipelines and ML infrastructure, driving automation in the property management sector. This role offers strong growth potential, working under experienced leadership and impacting a massive industry with your technical expertise. Ideal candidates will have substantial experience in data engineering, particularly with Python and distributed systems.
A leading technology firm in Manchester seeks a Staff Information Developer to lead content projects in Media and ML Engineering. This role involves mentoring a team, producing user documentation, and collaborating with cross-functional teams. Candidates should have 5+ years of writing experience, excellent communication skills, and a desire to work with innovative technologies. The position supports hybrid work arrangements and encourages professional growth through extensive resources and training opportunities.
22/05/2026
Full time
A leading technology firm in Manchester seeks a Staff Information Developer to lead content projects in Media and ML Engineering. This role involves mentoring a team, producing user documentation, and collaborating with cross-functional teams. Candidates should have 5+ years of writing experience, excellent communication skills, and a desire to work with innovative technologies. The position supports hybrid work arrangements and encourages professional growth through extensive resources and training opportunities.
A leading AI technology company in Greater London is seeking an expert to build and optimize machine learning infrastructure. You will be responsible for developing a data platform for multimodal datasets, improving training performance, and maintaining systems for model evaluation. The ideal candidate has strong Python skills, experience with large datasets, and a background in ML infrastructure. This role offers a hybrid working environment, competitive salary, and generous stock options.
22/05/2026
Full time
A leading AI technology company in Greater London is seeking an expert to build and optimize machine learning infrastructure. You will be responsible for developing a data platform for multimodal datasets, improving training performance, and maintaining systems for model evaluation. The ideal candidate has strong Python skills, experience with large datasets, and a background in ML infrastructure. This role offers a hybrid working environment, competitive salary, and generous stock options.
Frontend Software Engineer - Simulation Workbench London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The core of this platform relies on handling massive volumes of complex simulation data, enabling high-fidelity multi-physics simulation through AI inference. We are looking for a Senior Frontend Software Engineer to join our product team. You will be one of a small team of Front-end Engineers, collaborating in a cross-functional team with autonomy to drive implementation decisions. You will build and evolve the frontend that brings our platform to life - from rich 3D visualisations of simulation data to seamless API integrations powering complex ML workflows. You will design composable frontend architectures, optimise performance for data-heavy interfaces, and ensure our engineers and scientists can interact intuitively with massive datasets and simulation results. As a senior engineer, you will also play a key role in shaping technical direction - authoring Technical Decision Records, mentoring less experienced engineers, and driving the standards that keep our platform reliable, secure, and performant. This is a role for a builder who loves crafting exceptional user experiences as much as they love designing robust frontend architectures. What You Will Do Build and evolve a frontend platform that supports complex simulation and ML workflows - from 3D visualisations to seamless API integrations and data-heavy interfaces. Design and implement composable frontend architectures and component systems, including micro-frontend patterns, to enable scalable and maintainable development. Optimise user experience through advanced caching strategies, performance monitoring, layout and paint optimisation, and accessibility best practices. Design and implement advanced state management and data flow patterns to handle the demands of real-time simulation data and complex user interactions. Own your work end-to-end - from architectural design through to deployment and maintenance in a fast-paced, agile environment. Define performance standards and SLAs for the services you own; diagnose and resolve complex performance bottlenecks in rendering, layout, and data handling. Collaborate with backend engineers on the implementation of security risk mitigation strategies and performance optimisations for frontend applications. Drive best practices in CI/CD, automated testing, observability, and infrastructure-as-code; build and maintain deployment pipelines including zero-downtime and multi-service deployments. Author and review Technical Decision Records; participate in Technology Radar reviews to evaluate and adopt new tools and approaches. Mentor junior engineers, facilitate technical discussions, build consensus around decisions, and translate research needs into well-defined technical requirements. What You Bring to the Table A passion for the craft - a drive for engineering excellence and a commitment to sponsoring that culture across the team. Architectural versatility - proven track record building web-based user interfaces using a variety of architectural approaches - SPAs, server-rendered applications, hybrid architectures, micro-frontends - with a critical perspective on when each is the right choice. Experience with React and TypeScript is expected, but your identity is not defined by them. API and data handling maturity - experience designing frontends that integrate with complex backends via REST, GraphQL, WebSockets, and SSE, with attention to caching strategies, data access patterns, and forward compatibility. Reliability and observability mindset - experience defining performance standards and SLAs, implementing monitoring/alerting, and optimising observability in production environments. Security and accessibility awareness - familiarity with OAuth/JWT, XSS/CSRF prevention, WCAG, and ARIA standards; experience collaborating with backend teams on security risk mitigation. CI/CD and deployment expertise - hands-on experience building and optimising CI/CD pipelines (e.g. NX, GitHub Actions, monorepos), including multi-service and zero-downtime deployment strategies. Data visualisation experience - building rich, interactive visualisations using libraries such as Plotly, ECharts, Three.js, VTK, or WebGL to expose complex simulation data to end-users. Diagnostic and optimisation skills - a proactive mindset with the ability to identify and resolve complex performance bottlenecks from first principles - in rendering, networking, and data processing - rather than relying on framework-level fixes. Communication and leadership - excellent communication skills to discuss data needs with research scientists and translate them into technical specifications. Experience mentoring engineers and facilitating technical decisions. Ideally 3D and GPU Technologies: deep experience with WebGL, WebGPU, or WebAssembly for high-performance rendering of simulation data, meshes, and point clouds. Advanced Testing Techniques: experience with fuzzing, deterministic simulation testing, or fault injection in production systems; strong foundation in E2E and integration testing across different architectural patterns. Domain Knowledge: understanding of 3D geometry processing (meshes, point clouds) and the specific data structures used in physics-based simulations. What We Offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage. Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. Apply for this job indicates a required field First Name Last Name Preferred First Name Email Phone Country Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Website LinkedIn Profile Where did you hear about us? Select What is your notice period/when is the earliest you could start? Do you require Visa sponsorship to work in the role location? Select Please share your salary expectations: We collect diversity and inclusion data solely for the purposes of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.How would you describe your ethnicity? Select Do you have a disability or chronic condition (physical, visual, auditory, cognitive, mental, emotional, or other) that substantially limits one or more of your major life activities, including mobility, communication (seeing, hearing, speaking), and learning? Select How would you describe your gender identity? (mark all that apply) Select What interests you in Delivery at PhysicsX?
22/05/2026
Full time
Frontend Software Engineer - Simulation Workbench London, United Kingdom About us PhysicsX is a deep-tech company with roots in numerical physics and Formula One, dedicated to accelerating hardware innovation at the speed of software. We are building an AI-driven simulation software stack for engineering and manufacturing across advanced industries. By enabling high-fidelity, multi-physics simulation through AI inference across the entire engineering lifecycle, PhysicsX unlocks new levels of optimization and automation in design, manufacturing, and operations - empowering engineers to push the boundaries of possibility. Our customers include leading innovators in Aerospace & Defense, Materials, Energy, Semiconductors, and Automotive. The Role PhysicsX is developing a platform used by Data Scientists and Simulation Engineers to build, train, and deploy Deep Physics Models. The core of this platform relies on handling massive volumes of complex simulation data, enabling high-fidelity multi-physics simulation through AI inference. We are looking for a Senior Frontend Software Engineer to join our product team. You will be one of a small team of Front-end Engineers, collaborating in a cross-functional team with autonomy to drive implementation decisions. You will build and evolve the frontend that brings our platform to life - from rich 3D visualisations of simulation data to seamless API integrations powering complex ML workflows. You will design composable frontend architectures, optimise performance for data-heavy interfaces, and ensure our engineers and scientists can interact intuitively with massive datasets and simulation results. As a senior engineer, you will also play a key role in shaping technical direction - authoring Technical Decision Records, mentoring less experienced engineers, and driving the standards that keep our platform reliable, secure, and performant. This is a role for a builder who loves crafting exceptional user experiences as much as they love designing robust frontend architectures. What You Will Do Build and evolve a frontend platform that supports complex simulation and ML workflows - from 3D visualisations to seamless API integrations and data-heavy interfaces. Design and implement composable frontend architectures and component systems, including micro-frontend patterns, to enable scalable and maintainable development. Optimise user experience through advanced caching strategies, performance monitoring, layout and paint optimisation, and accessibility best practices. Design and implement advanced state management and data flow patterns to handle the demands of real-time simulation data and complex user interactions. Own your work end-to-end - from architectural design through to deployment and maintenance in a fast-paced, agile environment. Define performance standards and SLAs for the services you own; diagnose and resolve complex performance bottlenecks in rendering, layout, and data handling. Collaborate with backend engineers on the implementation of security risk mitigation strategies and performance optimisations for frontend applications. Drive best practices in CI/CD, automated testing, observability, and infrastructure-as-code; build and maintain deployment pipelines including zero-downtime and multi-service deployments. Author and review Technical Decision Records; participate in Technology Radar reviews to evaluate and adopt new tools and approaches. Mentor junior engineers, facilitate technical discussions, build consensus around decisions, and translate research needs into well-defined technical requirements. What You Bring to the Table A passion for the craft - a drive for engineering excellence and a commitment to sponsoring that culture across the team. Architectural versatility - proven track record building web-based user interfaces using a variety of architectural approaches - SPAs, server-rendered applications, hybrid architectures, micro-frontends - with a critical perspective on when each is the right choice. Experience with React and TypeScript is expected, but your identity is not defined by them. API and data handling maturity - experience designing frontends that integrate with complex backends via REST, GraphQL, WebSockets, and SSE, with attention to caching strategies, data access patterns, and forward compatibility. Reliability and observability mindset - experience defining performance standards and SLAs, implementing monitoring/alerting, and optimising observability in production environments. Security and accessibility awareness - familiarity with OAuth/JWT, XSS/CSRF prevention, WCAG, and ARIA standards; experience collaborating with backend teams on security risk mitigation. CI/CD and deployment expertise - hands-on experience building and optimising CI/CD pipelines (e.g. NX, GitHub Actions, monorepos), including multi-service and zero-downtime deployment strategies. Data visualisation experience - building rich, interactive visualisations using libraries such as Plotly, ECharts, Three.js, VTK, or WebGL to expose complex simulation data to end-users. Diagnostic and optimisation skills - a proactive mindset with the ability to identify and resolve complex performance bottlenecks from first principles - in rendering, networking, and data processing - rather than relying on framework-level fixes. Communication and leadership - excellent communication skills to discuss data needs with research scientists and translate them into technical specifications. Experience mentoring engineers and facilitating technical decisions. Ideally 3D and GPU Technologies: deep experience with WebGL, WebGPU, or WebAssembly for high-performance rendering of simulation data, meshes, and point clouds. Advanced Testing Techniques: experience with fuzzing, deterministic simulation testing, or fault injection in production systems; strong foundation in E2E and integration testing across different architectural patterns. Domain Knowledge: understanding of 3D geometry processing (meshes, point clouds) and the specific data structures used in physics-based simulations. What We Offer Equity options - share in our success and growth. 10% employer pension contribution - invest in your future. Free office lunches - great food to fuel your workdays. Flexible working - balance your work and life in a way that works for you. Hybrid setup - enjoy our new Shoreditch office while keeping remote flexibility. Enhanced parental leave - support for life's biggest milestones. Private healthcare - comprehensive coverage. Personal development - access learning and training to help you grow. Work from anywhere - extend your remote setup to enjoy the sun or reconnect with loved ones. We value diversity and are committed to equal employment opportunity regardless of sex, race, religion, ethnicity, nationality, disability, age, sexual orientation or gender identity. We strongly encourage individuals from groups traditionally underrepresented in tech to apply. To help make a change, we sponsor bright women from disadvantaged backgrounds through their university degrees in science and mathematics. We collect diversity and inclusion data solely for the purpose of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application. Apply for this job indicates a required field First Name Last Name Preferred First Name Email Phone Country Phone Location (City) Resume/CV Enter manually Accepted file types: pdf, doc, docx, txt, rtf Enter manually Accepted file types: pdf, doc, docx, txt, rtf Website LinkedIn Profile Where did you hear about us? Select What is your notice period/when is the earliest you could start? Do you require Visa sponsorship to work in the role location? Select Please share your salary expectations: We collect diversity and inclusion data solely for the purposes of monitoring the effectiveness of our equal opportunities policies and ensuring compliance with UK employment and equality legislation. This information is confidential, used only in aggregate form, and will not influence the outcome of your application.How would you describe your ethnicity? Select Do you have a disability or chronic condition (physical, visual, auditory, cognitive, mental, emotional, or other) that substantially limits one or more of your major life activities, including mobility, communication (seeing, hearing, speaking), and learning? Select How would you describe your gender identity? (mark all that apply) Select What interests you in Delivery at PhysicsX?
Senior Infrastructure Engineer Jobs in UK 2026 (£30,000 to £45,000) Take the lead in managing complex IT environments while ensuring seamless digital experiences for users across academic institutions. This role offers a strong platform to apply advanced infrastructure expertise within a dynamic and evolving technology landscape. About the Role The Senior Infrastructure Engineer role focuses on supporting and maintaining enterprise IT infrastructure across on-premise and cloud environments. You will operate in a third-line support capacity, resolving complex technical issues while ensuring system reliability and performance. Additionally, you will contribute to the design, implementation, and continuous improvement of infrastructure systems across the organization. The role also involves working closely with service desk teams and other IT units to deliver high-quality technical services. Furthermore, you will take on leadership responsibilities, including managing infrastructure staff and supporting team development. This full-time position is based near Newport, within a collaborative academic environment. About the Hiring Firm Harper Adams University is a respected academic institution known for delivering specialized education and research excellence. The university emphasizes innovation, digital transformation, and high-quality student and staff experiences across its operations. Additionally, its Information Services department plays a critical role in maintaining robust and secure IT infrastructure systems. Employees benefit from a supportive work environment, professional development opportunities, and involvement in impactful institutional projects. The organization fosters collaboration and continuous improvement to ensure efficient service delivery across all departments. Job Duties Provide third-line technical support for complex infrastructure issues across networking, cloud, and security systems. Design, implement, and maintain IT infrastructure solutions across on-premise and cloud-based environments. Collaborate with service desk teams and IT units to ensure seamless service delivery and system performance. Monitor infrastructure systems and implement improvements to enhance reliability, security, and efficiency consistently. Manage and support infrastructure team members, including providing guidance and performance oversight. Maintain and optimize network architecture, telephony systems, and virtualization environments effectively. Contribute to ongoing service improvement initiatives and infrastructure modernization strategies across the organization. Job Requirements Degree-level qualification in information technology or equivalent practical experience in infrastructure engineering roles. Strong experience working within large and complex IT environments supporting diverse infrastructure systems. Expertise in Windows Active Directory, Entra ID, and related authentication and certificate services. Knowledge of networking technologies, including WAN, routers, firewalls, VPNs, IDS, and cloud networking solutions. Experience with switching technologies, VLANs, BGP, OSPF, and structured cabling systems. Familiarity with telephony systems, SIP technologies, and enterprise voice solutions such as Microsoft Teams integration. Experience with virtualization technologies across on-premise and cloud platforms, including Microsoft Azure environments. Strong analytical, communication, and leadership skills to manage technical teams and projects effectively. Eligibility to work in the UK, with visa sponsorship dependent on meeting Skilled Worker requirements. This role provides an excellent opportunity to lead infrastructure initiatives while supporting modern, secure, and scalable IT systems. Join Harper Adams University to advance your career while delivering impactful technology solutions in a forward-thinking environment.
22/05/2026
Full time
Senior Infrastructure Engineer Jobs in UK 2026 (£30,000 to £45,000) Take the lead in managing complex IT environments while ensuring seamless digital experiences for users across academic institutions. This role offers a strong platform to apply advanced infrastructure expertise within a dynamic and evolving technology landscape. About the Role The Senior Infrastructure Engineer role focuses on supporting and maintaining enterprise IT infrastructure across on-premise and cloud environments. You will operate in a third-line support capacity, resolving complex technical issues while ensuring system reliability and performance. Additionally, you will contribute to the design, implementation, and continuous improvement of infrastructure systems across the organization. The role also involves working closely with service desk teams and other IT units to deliver high-quality technical services. Furthermore, you will take on leadership responsibilities, including managing infrastructure staff and supporting team development. This full-time position is based near Newport, within a collaborative academic environment. About the Hiring Firm Harper Adams University is a respected academic institution known for delivering specialized education and research excellence. The university emphasizes innovation, digital transformation, and high-quality student and staff experiences across its operations. Additionally, its Information Services department plays a critical role in maintaining robust and secure IT infrastructure systems. Employees benefit from a supportive work environment, professional development opportunities, and involvement in impactful institutional projects. The organization fosters collaboration and continuous improvement to ensure efficient service delivery across all departments. Job Duties Provide third-line technical support for complex infrastructure issues across networking, cloud, and security systems. Design, implement, and maintain IT infrastructure solutions across on-premise and cloud-based environments. Collaborate with service desk teams and IT units to ensure seamless service delivery and system performance. Monitor infrastructure systems and implement improvements to enhance reliability, security, and efficiency consistently. Manage and support infrastructure team members, including providing guidance and performance oversight. Maintain and optimize network architecture, telephony systems, and virtualization environments effectively. Contribute to ongoing service improvement initiatives and infrastructure modernization strategies across the organization. Job Requirements Degree-level qualification in information technology or equivalent practical experience in infrastructure engineering roles. Strong experience working within large and complex IT environments supporting diverse infrastructure systems. Expertise in Windows Active Directory, Entra ID, and related authentication and certificate services. Knowledge of networking technologies, including WAN, routers, firewalls, VPNs, IDS, and cloud networking solutions. Experience with switching technologies, VLANs, BGP, OSPF, and structured cabling systems. Familiarity with telephony systems, SIP technologies, and enterprise voice solutions such as Microsoft Teams integration. Experience with virtualization technologies across on-premise and cloud platforms, including Microsoft Azure environments. Strong analytical, communication, and leadership skills to manage technical teams and projects effectively. Eligibility to work in the UK, with visa sponsorship dependent on meeting Skilled Worker requirements. This role provides an excellent opportunity to lead infrastructure initiatives while supporting modern, secure, and scalable IT systems. Join Harper Adams University to advance your career while delivering impactful technology solutions in a forward-thinking environment.
Senior Software Engineer BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed. We are moving beyond the "generic AI" hype to solve the world's hardest physical engineering challenges in automotive, aerospace, and energy. The Role You'll be responsible for contributing to the design, development, and scaling of the core software components powering our Generative Physics platform. This is a hands on role where you'll drive the development of our product into a robust, scalable platform, integrating cutting edge machine learning models, simulation tools, and a seamless user interface. Success in this role translates to delivering a tangible foundation that allows our development partners to experience the full potential of our AI driven design approach. Responsibilities System Architecture Design: Architect and implement a scalable, cloud native software platform capable of handling the complexities of large scale engineering data, AI driven simulations, and seamless user interactions. Prioritise maintainability, testability, and extensibility in design choices. Data Pipeline Engineering: Design and build robust, high throughput data pipelines to manage large volumes of engineering data. Ensure efficient data ingestion, transformation, storage, and retrieval from both internal simulations and external partner tools. Cloud Based Scalability, Reliability, and Security: Leverage cloud technologies (AWS) to achieve system scalability, ensuring high availability, fault tolerance, and data security. Implement best practices for cloud infrastructure management and cost optimisation. Simulation Tool Integration: Develop APIs and interfaces to seamlessly integrate with a variety of engineering simulation tools and pipelines, both internally developed and from external partners. AI Powered Design Tool Innovation: Collaborate with ML engineers and development partners to design and build the next generation of AI powered engineering design tools. Technical Leadership and Mentorship: Provide technical guidance and mentorship to other software and ML engineers. Foster a culture of continuous learning and best practices within the engineering team. Essential Requirements Education: Bachelor's degree (Master's preferred) in Computer Science, Software Engineering, or a related field. Development Expertise: 5+ years of proven experience with full stack software development, including front end and back end technologies. Strong Python proficiency is essential. Cloud Technologies: Experience working with cloud platforms (AWS) and containerisation (Kubernetes, Docker). Leadership & Communication: Ability to lead technical discussions, articulate design decisions effectively, and collaborate with cross functional teams. Highly Desirable Scientific Computing: Familiarity with scientific libraries like PyTorch, NumPy, SciPy, and visualisation tools (Matplotlib, Plotly, etc.). CFD Understanding: Any knowledge of aerodynamic design principles or experience with CFD software is a significant plus. Why Join Us? Full Ownership: You will have a direct seat at the table in shaping the future of a company redefining an entire industry. High Impact: Your work will directly accelerate the transition to sustainable energy and more efficient transport. Elite Team: Work alongside veterans from world leading AI labs and engineering firms in a culture of "impact with integrity."
22/05/2026
Full time
Senior Software Engineer BeyondMath is a pioneering startup, backed by top-tier VCs, on a mission to reshape the frontiers of engineering through Foundational AI models for Physics. We are replacing traditional, slow and expensive simulation methods with AI that rivals accuracy at orders of magnitude higher speed. We are moving beyond the "generic AI" hype to solve the world's hardest physical engineering challenges in automotive, aerospace, and energy. The Role You'll be responsible for contributing to the design, development, and scaling of the core software components powering our Generative Physics platform. This is a hands on role where you'll drive the development of our product into a robust, scalable platform, integrating cutting edge machine learning models, simulation tools, and a seamless user interface. Success in this role translates to delivering a tangible foundation that allows our development partners to experience the full potential of our AI driven design approach. Responsibilities System Architecture Design: Architect and implement a scalable, cloud native software platform capable of handling the complexities of large scale engineering data, AI driven simulations, and seamless user interactions. Prioritise maintainability, testability, and extensibility in design choices. Data Pipeline Engineering: Design and build robust, high throughput data pipelines to manage large volumes of engineering data. Ensure efficient data ingestion, transformation, storage, and retrieval from both internal simulations and external partner tools. Cloud Based Scalability, Reliability, and Security: Leverage cloud technologies (AWS) to achieve system scalability, ensuring high availability, fault tolerance, and data security. Implement best practices for cloud infrastructure management and cost optimisation. Simulation Tool Integration: Develop APIs and interfaces to seamlessly integrate with a variety of engineering simulation tools and pipelines, both internally developed and from external partners. AI Powered Design Tool Innovation: Collaborate with ML engineers and development partners to design and build the next generation of AI powered engineering design tools. Technical Leadership and Mentorship: Provide technical guidance and mentorship to other software and ML engineers. Foster a culture of continuous learning and best practices within the engineering team. Essential Requirements Education: Bachelor's degree (Master's preferred) in Computer Science, Software Engineering, or a related field. Development Expertise: 5+ years of proven experience with full stack software development, including front end and back end technologies. Strong Python proficiency is essential. Cloud Technologies: Experience working with cloud platforms (AWS) and containerisation (Kubernetes, Docker). Leadership & Communication: Ability to lead technical discussions, articulate design decisions effectively, and collaborate with cross functional teams. Highly Desirable Scientific Computing: Familiarity with scientific libraries like PyTorch, NumPy, SciPy, and visualisation tools (Matplotlib, Plotly, etc.). CFD Understanding: Any knowledge of aerodynamic design principles or experience with CFD software is a significant plus. Why Join Us? Full Ownership: You will have a direct seat at the table in shaping the future of a company redefining an entire industry. High Impact: Your work will directly accelerate the transition to sustainable energy and more efficient transport. Elite Team: Work alongside veterans from world leading AI labs and engineering firms in a culture of "impact with integrity."
The Company You'll Join Carta connects founders, investors, and limited partners through world-class software, purpose-built for everyone in venture capital, private equity and private credit. Trusted by 65,000+ companies in 160+ countries, Carta's platform of software and services lays the groundwork so you can build, invest, and scale with confidence. Carta's Fund Administration platform supports 9,000+ funds and SPVs, representing nearly $185B in assets under management, with tools designed to enhance the strategic impact of fund CFOs. Recognized by Fortune, Forbes, Fast Company, Inc. and Great Places to Work, Carta is shaping the future of private market infrastructure. Together, Carta is creating the end-to-end ERP platform for private markets. Traditional ERP solutions don't work for Private Funds. Private capital markets need a comprehensive software solution to replace outdated spreadsheets and fragmented service providers. Carta's software for the Office of the Fund CFO does just that - it's a new category of software to make private markets look more like public markets - a connected ERP for private capital. For more information about our offices and culture, check out our Carta careers page . The Problems You'll Solve At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow. As a Senior Machine Learning Engineer II at Carta, you'll spend your time building agentic systems to power new products, automate complex document workflows, and accelerate Carta's business. You will also work closely with the SRE team to develop Carta's infrastructure around LLM integration and agentic processes. Example responsibilities will include: Develop agentic systems to classify, extract and review data from complex financial and legal documents. Develop agentic systems for document acquisition and management. Partner with product managers, engineers, designers, and business teams to incorporate agentic and LLM-powered products and user-flows. Own, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of machine learning. The Team You'll Work With At Carta, our Machine Learning team is on a mission to power data products and automation through cutting-edge techniques. We work closely with Carta's core business units and product teams to develop LLM-powered and agentic systems for document intelligence, fund administration, legal tech, customer onboarding and more. This role is foundational to our team, where you'll work with one of the world's most valuable datasets and document repositories. Our systems directly enable revenue growth and operational efficiency for the company. Our team consists of specialized Machine Learning scientists and engineers, collaborating with product analytics and data engineering experts. We foster a culture of partnership, working closely with teams across Carta to solve impactful problems. We strongly believe that being helpful accelerates results, and we support one another to achieve success at Carta. The Impact You'll Have You will own significant projects that directly align with the company's strategic initiatives in agentic systems, AI adoption and document intelligence. Your contributions will empower leaders across the organization to deliver innovative products, optimize operational efficiency, and make well-informed product decisions. Additionally, you will have the opportunity to develop foundational infrastructure for our team and establish best practices for integrating our agentic and LLM-powered systems into production environments. Your work will not only impact Carta's current machine learning capabilities but also pave the way for future engineers, enabling them to build upon your efforts seamlessly. About You Candidates must have a strong foundation in machine learning and software development, be proficient in Python, and have an analytical mindset. You have a strong bias towards simplicity, are excited by "zero to one" projects, and can efficiently communicate findings to leadership. Example traits that we value: 8+ years of industry experience solving complex data problems with descriptive and predictive statistical models Proficiency with AI-assisted software development, multi-agent development, skills & AI integration into development processes Experience with large language models (LLMs) and their applications in document intelligence Experience using LLMs and agentic frameworks such as Agno, Anthropic's Agent SDK, Strands Agents SDK, A2A, LangChain or similar Experience with LLM observability and evals platforms such as Braintrust, Weights&Biases, LangFuse or similar Strong written and verbal communication skills A collaborative attitude and a helpful personality Experience building durable workflows in e.g. Temporal Disclosures: We are an equal opportunity employer and are committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, please connect with the talent partner via email. Carta uses E-Verify in the United States for employment authorization. See the E-Verify and Department of Justice websites for more details. For information on our data privacy policies, see Privacy , CA Candidate Privacy , and Brazil Transparency Report . Please note that all official communications from us will come from domain. Report any contact from unapproved domains to .
22/05/2026
Full time
The Company You'll Join Carta connects founders, investors, and limited partners through world-class software, purpose-built for everyone in venture capital, private equity and private credit. Trusted by 65,000+ companies in 160+ countries, Carta's platform of software and services lays the groundwork so you can build, invest, and scale with confidence. Carta's Fund Administration platform supports 9,000+ funds and SPVs, representing nearly $185B in assets under management, with tools designed to enhance the strategic impact of fund CFOs. Recognized by Fortune, Forbes, Fast Company, Inc. and Great Places to Work, Carta is shaping the future of private market infrastructure. Together, Carta is creating the end-to-end ERP platform for private markets. Traditional ERP solutions don't work for Private Funds. Private capital markets need a comprehensive software solution to replace outdated spreadsheets and fragmented service providers. Carta's software for the Office of the Fund CFO does just that - it's a new category of software to make private markets look more like public markets - a connected ERP for private capital. For more information about our offices and culture, check out our Carta careers page . The Problems You'll Solve At Carta, our employees set out on a mission to unlock the power of equity ownership for more people in more places. We believe that the problems we solve today unlock the opportunities of tomorrow. As a Senior Machine Learning Engineer II at Carta, you'll spend your time building agentic systems to power new products, automate complex document workflows, and accelerate Carta's business. You will also work closely with the SRE team to develop Carta's infrastructure around LLM integration and agentic processes. Example responsibilities will include: Develop agentic systems to classify, extract and review data from complex financial and legal documents. Develop agentic systems for document acquisition and management. Partner with product managers, engineers, designers, and business teams to incorporate agentic and LLM-powered products and user-flows. Own, coordinate, and solve complex, cross-functional problems that extend beyond the traditional boundaries of machine learning. The Team You'll Work With At Carta, our Machine Learning team is on a mission to power data products and automation through cutting-edge techniques. We work closely with Carta's core business units and product teams to develop LLM-powered and agentic systems for document intelligence, fund administration, legal tech, customer onboarding and more. This role is foundational to our team, where you'll work with one of the world's most valuable datasets and document repositories. Our systems directly enable revenue growth and operational efficiency for the company. Our team consists of specialized Machine Learning scientists and engineers, collaborating with product analytics and data engineering experts. We foster a culture of partnership, working closely with teams across Carta to solve impactful problems. We strongly believe that being helpful accelerates results, and we support one another to achieve success at Carta. The Impact You'll Have You will own significant projects that directly align with the company's strategic initiatives in agentic systems, AI adoption and document intelligence. Your contributions will empower leaders across the organization to deliver innovative products, optimize operational efficiency, and make well-informed product decisions. Additionally, you will have the opportunity to develop foundational infrastructure for our team and establish best practices for integrating our agentic and LLM-powered systems into production environments. Your work will not only impact Carta's current machine learning capabilities but also pave the way for future engineers, enabling them to build upon your efforts seamlessly. About You Candidates must have a strong foundation in machine learning and software development, be proficient in Python, and have an analytical mindset. You have a strong bias towards simplicity, are excited by "zero to one" projects, and can efficiently communicate findings to leadership. Example traits that we value: 8+ years of industry experience solving complex data problems with descriptive and predictive statistical models Proficiency with AI-assisted software development, multi-agent development, skills & AI integration into development processes Experience with large language models (LLMs) and their applications in document intelligence Experience using LLMs and agentic frameworks such as Agno, Anthropic's Agent SDK, Strands Agents SDK, A2A, LangChain or similar Experience with LLM observability and evals platforms such as Braintrust, Weights&Biases, LangFuse or similar Strong written and verbal communication skills A collaborative attitude and a helpful personality Experience building durable workflows in e.g. Temporal Disclosures: We are an equal opportunity employer and are committed to providing a positive interview experience for every candidate. If accommodations due to a disability or medical condition are needed, please connect with the talent partner via email. Carta uses E-Verify in the United States for employment authorization. See the E-Verify and Department of Justice websites for more details. For information on our data privacy policies, see Privacy , CA Candidate Privacy , and Brazil Transparency Report . Please note that all official communications from us will come from domain. Report any contact from unapproved domains to .
Currie & Brown's disputes team is a key part of its specialist services and has been identified as an area of targeted growth. The team is based in London, but this role can be based at any of our UK offices. The chosen candidate will support in the delivery of dispute avoidance, management, and resolution services, particularly in relation to quantum opinion and contractual advice, dealing with all aspects of delay and disruption matters in connection with projects and working closely with the unit director and other parts of the business, as well as maintaining and developing their own client base. This is an outstanding opportunity for a chartered quantity surveyor or engineer, with experience and/or an interest in disputes services. The role will cover the full spectrum of dispute resolution services, including adjudication, mediation, litigation, arbitration, and general contract advisory services in supporting the UK business units. Ideally, the candidate will have working knowledge of litigation and arbitration procedures. Your core duties will involve: Supporting the quantum and contract advisory services including: Analysis of contractual claims including disputed variations, loss and expense and any finance related claims Drafting opinion of the assessment of claims Production of CPR compliant expert reports Supporting the delivery of other services such as delay services as appropriate to the commission Liaising with client legal teams Giving expert testimony in litigation and arbitration forums Supporting with management activity and business development where appropriate. Being an effective team member and able to lead a team on larger commissions. Managing assistant experts and assisting in their training and development. Advising the project teams in respect of dispute avoidance on current projects. Managing own commissions from receipt of instructions to testimony in proceedings. Financial management of commissions and responsible for P&L of commissions. Business development, comprising meetings with lawyers/clients, participation in training and other seminars, writing articles for publication in trade journals. Producing best practice analysis and reports. Capturing and sharing knowledge across projects, enhancing our culture of innovation, and reinforcing our reputation as preferred service provider. What skills and attributes are we looking for from you Chartered quantity surveyor or engineer with 10+ years of experience. Qualified to degree level with MRICS or MCIArb as minimum. Experience of assessing and quantifying contractual claims. Understanding of all methods of alternative dispute resolution. Capable of producing clear concise opinions on matters in dispute leading to the production of CPR 35 compliant reports. Experience of technical report writing, with the communication skills to hold and attend client facing meetings. Able to receive initial client brief and manage a commission to completion without supervision. About Us Why choose Currie & Brown? Unlike some businesses, we prioritise for the long term and honour our commitments. We are compassionate and inclusive in the way we approach our work, and always look to invest in our people's futures. Be it a desire to work internationally, a drive to progress, or even a curiosity to operate in a new sector, we are there for our people at every stage - providing advice, support and the structure to achieve. That is why so many of us have established and built successful careers here for so long. We don't offer just a job we offer a career with clear structured route to progression, and a track record of making international mobility happen with international moves encouraged on a permanent or secondment basis. We are an international industry leader - Working for us provides the chance to work for a leading brand with a focus on excellence, being digitally led in our approach, we present the chance to work on some of the world's most prestigious projects and for some of the world's top clients. We want you to be able to bring your best self to work every day and that is why we firmly believe equality, diversity and inclusion should be taken seriously. Diverse people, backgrounds and experiences develop the most innovative of ideas, they are essential to our success, that is why we actively encourage applications from all backgrounds. We are a truly independent business where our people are empowered to make quick, agile decisions that drive real impact. As part of Sidara, we collaborate directly with some of the world's brightest partner brands in our industry, offering exciting opportunities to innovate and grow. We offer comprehensive benefits packages in all our global regions which have been specifically tailored to offer additional rewards to our employees from entry level to senior executives.
22/05/2026
Full time
Currie & Brown's disputes team is a key part of its specialist services and has been identified as an area of targeted growth. The team is based in London, but this role can be based at any of our UK offices. The chosen candidate will support in the delivery of dispute avoidance, management, and resolution services, particularly in relation to quantum opinion and contractual advice, dealing with all aspects of delay and disruption matters in connection with projects and working closely with the unit director and other parts of the business, as well as maintaining and developing their own client base. This is an outstanding opportunity for a chartered quantity surveyor or engineer, with experience and/or an interest in disputes services. The role will cover the full spectrum of dispute resolution services, including adjudication, mediation, litigation, arbitration, and general contract advisory services in supporting the UK business units. Ideally, the candidate will have working knowledge of litigation and arbitration procedures. Your core duties will involve: Supporting the quantum and contract advisory services including: Analysis of contractual claims including disputed variations, loss and expense and any finance related claims Drafting opinion of the assessment of claims Production of CPR compliant expert reports Supporting the delivery of other services such as delay services as appropriate to the commission Liaising with client legal teams Giving expert testimony in litigation and arbitration forums Supporting with management activity and business development where appropriate. Being an effective team member and able to lead a team on larger commissions. Managing assistant experts and assisting in their training and development. Advising the project teams in respect of dispute avoidance on current projects. Managing own commissions from receipt of instructions to testimony in proceedings. Financial management of commissions and responsible for P&L of commissions. Business development, comprising meetings with lawyers/clients, participation in training and other seminars, writing articles for publication in trade journals. Producing best practice analysis and reports. Capturing and sharing knowledge across projects, enhancing our culture of innovation, and reinforcing our reputation as preferred service provider. What skills and attributes are we looking for from you Chartered quantity surveyor or engineer with 10+ years of experience. Qualified to degree level with MRICS or MCIArb as minimum. Experience of assessing and quantifying contractual claims. Understanding of all methods of alternative dispute resolution. Capable of producing clear concise opinions on matters in dispute leading to the production of CPR 35 compliant reports. Experience of technical report writing, with the communication skills to hold and attend client facing meetings. Able to receive initial client brief and manage a commission to completion without supervision. About Us Why choose Currie & Brown? Unlike some businesses, we prioritise for the long term and honour our commitments. We are compassionate and inclusive in the way we approach our work, and always look to invest in our people's futures. Be it a desire to work internationally, a drive to progress, or even a curiosity to operate in a new sector, we are there for our people at every stage - providing advice, support and the structure to achieve. That is why so many of us have established and built successful careers here for so long. We don't offer just a job we offer a career with clear structured route to progression, and a track record of making international mobility happen with international moves encouraged on a permanent or secondment basis. We are an international industry leader - Working for us provides the chance to work for a leading brand with a focus on excellence, being digitally led in our approach, we present the chance to work on some of the world's most prestigious projects and for some of the world's top clients. We want you to be able to bring your best self to work every day and that is why we firmly believe equality, diversity and inclusion should be taken seriously. Diverse people, backgrounds and experiences develop the most innovative of ideas, they are essential to our success, that is why we actively encourage applications from all backgrounds. We are a truly independent business where our people are empowered to make quick, agile decisions that drive real impact. As part of Sidara, we collaborate directly with some of the world's brightest partner brands in our industry, offering exciting opportunities to innovate and grow. We offer comprehensive benefits packages in all our global regions which have been specifically tailored to offer additional rewards to our employees from entry level to senior executives.
Location: Cheltenham Salary: Competitive Benefits: Bonus and commission scheme, comprehensive benefits package including private medical and pension, flexible hybrid working, clear progression with funded training, and enhanced long-term incentives including additional leave and retention bonuses. Work on analytics platforms that support highly sensitive, mission critical programmes within a secure environment. This is an opportunity to build and scale modern data platforms while contributing to projects of national significance, alongside some of the strongest engineers in the sector. The Client: We're partnering with a leading organisation in the secure government sector to support the growth of a key programme delivering advanced data and analytics capabilities. This is a critical hire within an expanding team, focused on building and scaling platforms that underpin mission critical solutions. Operating at the forefront of data, cloud, and AI driven innovation, they offer an environment where engineers can work on complex, high impact challenges with real world significance. The Candidate: This would suit a candidate with a strong background in data or analytics platform engineering, who is comfortable working across both software development and infrastructure. You'll enjoy solving complex technical challenges, working in dynamic environments, and collaborating closely with Data Scientists and MLOps teams. A pragmatic, adaptable mindset is key, along with a passion for building scalable, secure systems that enable data driven outcomes. You should also be comfortable working in secure, highly regulated environments. The Role: We are seeking Senior and Principal Analytics Platform Engineers to join a growing team delivering high impact solutions within a secure environment. You will play a key role in designing, building, and evolving a modern analytics platform, supporting the full lifecycle from development through to deployment and ongoing optimisation. This is a hands on role offering exposure to a broad and evolving technology landscape. Due to the nature of the work, you will be operating within a highly secure environment with specific access requirements. Key Duties: Design, build and evolve scalable analytics and data platforms. Contribute across the full software development lifecycle. Support cloud migration and data management initiatives. Develop, test and deploy new platform capabilities. Troubleshoot and enhance existing analytics services. Provide hands on support to Data Scientists and MLOps teams. Tackle complex engineering challenges across a varied tech stack. Requirements: Strong experience with Python. Experience with Kubernetes and Docker. Understanding of CI/CD pipelines (e.g. GitLab). Exposure to data platforms, MLOps or machine learning environments. Spark or Scala. AWS services (e.g. S3). Elasticsearch or graph databases. OIDC/OAuth. Node.js or React. To apply for this Analytics Platform Engineer permenent job, please click the button below and submit your latest CV. Curo Services endeavour to respond to all applications. However, this may not always be possible during periods of high volume. Thank you for your patience. Curo Resourcing Ltd acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
22/05/2026
Full time
Location: Cheltenham Salary: Competitive Benefits: Bonus and commission scheme, comprehensive benefits package including private medical and pension, flexible hybrid working, clear progression with funded training, and enhanced long-term incentives including additional leave and retention bonuses. Work on analytics platforms that support highly sensitive, mission critical programmes within a secure environment. This is an opportunity to build and scale modern data platforms while contributing to projects of national significance, alongside some of the strongest engineers in the sector. The Client: We're partnering with a leading organisation in the secure government sector to support the growth of a key programme delivering advanced data and analytics capabilities. This is a critical hire within an expanding team, focused on building and scaling platforms that underpin mission critical solutions. Operating at the forefront of data, cloud, and AI driven innovation, they offer an environment where engineers can work on complex, high impact challenges with real world significance. The Candidate: This would suit a candidate with a strong background in data or analytics platform engineering, who is comfortable working across both software development and infrastructure. You'll enjoy solving complex technical challenges, working in dynamic environments, and collaborating closely with Data Scientists and MLOps teams. A pragmatic, adaptable mindset is key, along with a passion for building scalable, secure systems that enable data driven outcomes. You should also be comfortable working in secure, highly regulated environments. The Role: We are seeking Senior and Principal Analytics Platform Engineers to join a growing team delivering high impact solutions within a secure environment. You will play a key role in designing, building, and evolving a modern analytics platform, supporting the full lifecycle from development through to deployment and ongoing optimisation. This is a hands on role offering exposure to a broad and evolving technology landscape. Due to the nature of the work, you will be operating within a highly secure environment with specific access requirements. Key Duties: Design, build and evolve scalable analytics and data platforms. Contribute across the full software development lifecycle. Support cloud migration and data management initiatives. Develop, test and deploy new platform capabilities. Troubleshoot and enhance existing analytics services. Provide hands on support to Data Scientists and MLOps teams. Tackle complex engineering challenges across a varied tech stack. Requirements: Strong experience with Python. Experience with Kubernetes and Docker. Understanding of CI/CD pipelines (e.g. GitLab). Exposure to data platforms, MLOps or machine learning environments. Spark or Scala. AWS services (e.g. S3). Elasticsearch or graph databases. OIDC/OAuth. Node.js or React. To apply for this Analytics Platform Engineer permenent job, please click the button below and submit your latest CV. Curo Services endeavour to respond to all applications. However, this may not always be possible during periods of high volume. Thank you for your patience. Curo Resourcing Ltd acts as an Employment Business for contract and temporary recruitment as well as an Employment Agency in relation to permanent vacancies.
London Stock Exchange Group
Nottingham, Nottinghamshire
A global financial markets infrastructure company in Nottingham is seeking a Principal Data Architect to own the end-to-end data architecture for their Active Data Layer programme. The ideal candidate will have over 10 years of experience in data architecture or engineering, with deep expertise in AI/ML data foundations and modern data platforms. This role involves driving the data assurance strategy and ensuring safe, scalable adoption of AI capabilities within a complex data environment. Competitive compensation and opportunities for growth are provided.
22/05/2026
Full time
A global financial markets infrastructure company in Nottingham is seeking a Principal Data Architect to own the end-to-end data architecture for their Active Data Layer programme. The ideal candidate will have over 10 years of experience in data architecture or engineering, with deep expertise in AI/ML data foundations and modern data platforms. This role involves driving the data assurance strategy and ensuring safe, scalable adoption of AI capabilities within a complex data environment. Competitive compensation and opportunities for growth are provided.
