About the role This is a senior, foundational role on a new team: you'll make architecture decisions that the rest of the team builds on and help shape what we build first. The work is hands on and varied. Some weeks you'll be deep in pipeline or infrastructure engineering; others you'll be tuning prompts until the output is good or sitting with a research team that depends on your systems and shipping the fixes they need. We are looking for experienced engineers who own outcomes end to end - down to reading transcripts, supporting users, and wrangling vendors. The company's RL Data team builds the systems that produce high quality reinforcement learning data for Claude: data collection pipelines, human feedback tooling, the execution environments RL tasks run in, and the quality assurance that keeps training data trustworthy at scale. Our goal is to make Claude great at real work - especially the work that matters most, like AI safety research and beneficial deployments of AI. (To be upfront: this is dual use work - it advances general capabilities too.) Key responsibilities Own significant parts of our stack end to end, from technical architecture through the unglamorous operational work that makes it succeed. Build data collection pipelines, read the transcripts they produce, and iterate on prompts, evals, and graders until the output is good. Develop and improve QA frameworks to catch reward hacking and ensure environment quality. Build interfaces that make collecting human data fast and painless for the people providing it. Harden execution environments - sandboxing, snapshotting, tool coverage - so tasks hold up at training scale. Embed with the teams and domain experts who use our systems day to day, and work with operations, security, and compliance partners to roll our systems out to new users and vendors. Minimum qualifications A track record of owning major projects end to end in fast paced, ambiguous environments - for example as a founder or CTO, forward deployed engineer, tech lead, founding engineer at a startup, or creator of a substantial open source project. Trusted to run key projects: you lead and inspire others, plan workstreams effectively, collaborate with cross functional stakeholders, and proactively eliminate or escalate blockers. Strong software engineering skills in at least one modern programming language - we mostly use Python and TypeScript, but care more about quickly picking up new tools than knowing our exact stack. Familiarity with Docker, Kubernetes, and common cloud infrastructure is a plus. Effective use of AI tools in your own day to day work. Care about the societal impacts of your work. Preferred qualifications Experience with reinforcement learning on LLMs, particularly on the data side: creating evals, environments, rewards, graders, or training data. Experience helping organizations use AI more effectively, including integrating with third party tools via APIs, CLIs, and MCP servers. Strong data engineering skills: pipelines that handle large volumes reliably in production, LLM powered enrichment steps, and a focus on improving data quality. Experience shipping user facing products or internal platforms people love: interviewing users, hunting down friction, measurably improving the experience. Basic familiarity with AI safety or security research. Representative projects Take a data collection pipeline from research prototype to a production service that serves many research teams - collection, human validation, grading, and everything in between. Own the program of developing sandboxed execution environments realistic enough for long horizon, high tool use agentic tasks - and harden them so they behave correctly across millions of rollouts in a frontier training run. Bring a new data source online - from first conversation with a partner organization to data flowing into production training runs - coordinating with product, security, privacy, legal, and infrastructure teams along the way. Own the QA layer that decides which tasks make it into Claude's training: automated checks and expert review flows (a busy domain expert should be able to validate a task in under five minutes) that hold up when a frontier model learns to game them. Cut the time from 'rough task idea' to 'task in a production training run' from days to hours. You'd own the direction: figure out where the bottlenecks actually are, then automate, redesign, or delete the steps in the way. Compensation Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position. Location based hybrid policy: We expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices. Visa sponsorship: We do sponsor visas and will make every reasonable effort to obtain a visa if you receive an offer. Benefits Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space for collaboration.
26/07/2026
Full time
About the role This is a senior, foundational role on a new team: you'll make architecture decisions that the rest of the team builds on and help shape what we build first. The work is hands on and varied. Some weeks you'll be deep in pipeline or infrastructure engineering; others you'll be tuning prompts until the output is good or sitting with a research team that depends on your systems and shipping the fixes they need. We are looking for experienced engineers who own outcomes end to end - down to reading transcripts, supporting users, and wrangling vendors. The company's RL Data team builds the systems that produce high quality reinforcement learning data for Claude: data collection pipelines, human feedback tooling, the execution environments RL tasks run in, and the quality assurance that keeps training data trustworthy at scale. Our goal is to make Claude great at real work - especially the work that matters most, like AI safety research and beneficial deployments of AI. (To be upfront: this is dual use work - it advances general capabilities too.) Key responsibilities Own significant parts of our stack end to end, from technical architecture through the unglamorous operational work that makes it succeed. Build data collection pipelines, read the transcripts they produce, and iterate on prompts, evals, and graders until the output is good. Develop and improve QA frameworks to catch reward hacking and ensure environment quality. Build interfaces that make collecting human data fast and painless for the people providing it. Harden execution environments - sandboxing, snapshotting, tool coverage - so tasks hold up at training scale. Embed with the teams and domain experts who use our systems day to day, and work with operations, security, and compliance partners to roll our systems out to new users and vendors. Minimum qualifications A track record of owning major projects end to end in fast paced, ambiguous environments - for example as a founder or CTO, forward deployed engineer, tech lead, founding engineer at a startup, or creator of a substantial open source project. Trusted to run key projects: you lead and inspire others, plan workstreams effectively, collaborate with cross functional stakeholders, and proactively eliminate or escalate blockers. Strong software engineering skills in at least one modern programming language - we mostly use Python and TypeScript, but care more about quickly picking up new tools than knowing our exact stack. Familiarity with Docker, Kubernetes, and common cloud infrastructure is a plus. Effective use of AI tools in your own day to day work. Care about the societal impacts of your work. Preferred qualifications Experience with reinforcement learning on LLMs, particularly on the data side: creating evals, environments, rewards, graders, or training data. Experience helping organizations use AI more effectively, including integrating with third party tools via APIs, CLIs, and MCP servers. Strong data engineering skills: pipelines that handle large volumes reliably in production, LLM powered enrichment steps, and a focus on improving data quality. Experience shipping user facing products or internal platforms people love: interviewing users, hunting down friction, measurably improving the experience. Basic familiarity with AI safety or security research. Representative projects Take a data collection pipeline from research prototype to a production service that serves many research teams - collection, human validation, grading, and everything in between. Own the program of developing sandboxed execution environments realistic enough for long horizon, high tool use agentic tasks - and harden them so they behave correctly across millions of rollouts in a frontier training run. Bring a new data source online - from first conversation with a partner organization to data flowing into production training runs - coordinating with product, security, privacy, legal, and infrastructure teams along the way. Own the QA layer that decides which tasks make it into Claude's training: automated checks and expert review flows (a busy domain expert should be able to validate a task in under five minutes) that hold up when a frontier model learns to game them. Cut the time from 'rough task idea' to 'task in a production training run' from days to hours. You'd own the direction: figure out where the bottlenecks actually are, then automate, redesign, or delete the steps in the way. Compensation Annual Salary: $320,000 - $485,000 USD Logistics Minimum education: Bachelor's degree or an equivalent combination of education, training, and/or experience. Required field of study: A field relevant to the role as demonstrated through coursework, training, or professional experience. Minimum years of experience: Years of experience required will correlate with the internal job level requirements for the position. Location based hybrid policy: We expect all staff to be in one of our offices at least 25% of the time. Some roles may require more time in our offices. Visa sponsorship: We do sponsor visas and will make every reasonable effort to obtain a visa if you receive an offer. Benefits Competitive compensation and benefits, optional equity donation matching, generous vacation and parental leave, flexible working hours, and a lovely office space for collaboration.
Solution Engineer - Consolidated About Neural Concept Engineering is at an inflection point. The teams defining the next generation of aircraft, electric vehicles, and consumer products are not just designing faster. They are designing fundamentally differently, with AI embedded at the core of their workflows. Neural Concept builds the Engineering AI platform that makes this possible. We help the world's leading engineering teams accelerate development, improve product outcomes, and scale engineering capacity, turning months of simulation into days and engineering intuition into data-driven insight. We work with elite engineering teams in Automotive, Aerospace, High-Tech and Electronics, and advanced manufacturing, where the stakes are high, the complexity is rising, and the pressure to innovate has never been greater. We are changing how engineers work. Come build that future with us. About the Role As a Solution Engineer, you sit at the intersection of engineering credibility and strategic influence. You are the person in the room who can connect a VP's business challenge to a concrete, well-scoped AI solution, and who knows Neural Concept's platform and roadmap well enough to make that connection land with confidence. This is not a purely technical role, and it is not a pure sales role. You are a trusted advisor: someone who earns credibility through engineering background and product depth, and who builds long-term account relationships by consistently framing the right problems and the right solutions at the right moment. You drive the full pre-sales motion, from discovery to demo to signed Statement of Work, and you remain the account's technical compass through the client lifecycle, identifying and shaping expansion opportunities. What you will do Position NC as a long-term strategic partner and trusted engineering advisor across engineering teams, managers, and VPs Lead structured discovery sessions to identify where NC creates the most impact, framing use cases that are technically feasible and commercially grounded Define the AI strategy and technical roadmap for each account, translating NC's capabilities and product direction into a multi-horizon vision Create and deliver compelling, client-tailored demos and presentations grounded in the client's engineering workflows, technically credible and aligned with the vision Create and co-own the Statement of Work, with deep understanding of the technical building blocks and how these transform the client's existing workflows Prepare and run Steering Committees, connecting engineering challenges to strategic outcomes Drive user adoption and engagement across technical users, managers, and designers, ensuring NC is embedded in daily workflows and engineering champions emerge Identify upsell and expansion opportunities from account knowledge and commercial signals, and shape them into well-scoped proposals Collaborate with the Sales team to advance and close deals, with the Forward Deployed Engineering team to ensure smooth pre-sales to delivery transitions, and surface client insights to Product and R&D to inform roadmap priorities Who you are You hold an engineering degree (mechanical, aerospace, automotive, industrial, or similar) and have a solid understanding of CAD and CAE workflows, including where bottlenecks lie and what it takes to transform those workflows with AI You are naturally curious and people-driven. You earn trust through genuine interest in client challenges and make engineers and executives feel understood You are proactive and commercially driven. You move accounts forward without being asked, spot opportunities early, and bring structure to ambiguous situations You are a confident challenger. You ask uncomfortable questions, reframe assumptions, and guide clients toward better outcomes even when it requires pushing back You are an outstanding communicator: you own executive conversations, drive narrative with clarity, and connect engineering problems to strategic outcomes You understand AI and machine learning applied to engineering at a conceptual level, and are comfortable creating demos and prototypes using AI-assisted tools with working knowledge of Python and modern development practices You have experience in a client-facing role: pre-sales, solutions consulting, technical account management, or engineering consulting You are fluent in English Add other language requirements depending on region What Will Set You Apart You have deep, hands-on simulation experience: full pipelines from CAD to post-processing, solver experience, and workflow automation You are a strong programmer: you write clean Python, build data pipelines, and are comfortable in ML-DL frameworks including model training, evaluation, and deployment You can go deep in technical discovery: dive into customer toolchains, data environments, and simulation setups to assess feasibility at the level a simulation engineer would respect You can build end-to-end engineering workflow demos from scratch, rapidly prototyping the full arc from design generation and simulation to data pipelines, model training, and application deployment using agentic development tools Nice-to-Have Strategic or technical consulting background, executing digital transformations Previous experience working in engineering software companies or using engineering software tools (e.g., Ansys, Altair, Siemens, Dassault Systèmes, or Autodesk) Background in ML-DL research or development in an engineering context Experience automating CAE workflows (scripting, batch processing, surrogate model pipelines) What You Get Work with a world-class technology team - our engineers are top-notch, and we always aim for excellence. Benefit from a competitive salary and rewarding opportunities as we continue to scale. Thrive in a collaborative, multicultural environment where your work is visible and recognized. Develop professionally alongside talented colleagues who share knowledge freely and support one another. Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable. Balance life and work with a hybrid model and flexible hours-we care about results, not rigid schedules. Where You Will Be Based in the UK (Midlands preferred, with flexibility) 30% travel required (UK & EMEA) We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.
26/07/2026
Full time
Solution Engineer - Consolidated About Neural Concept Engineering is at an inflection point. The teams defining the next generation of aircraft, electric vehicles, and consumer products are not just designing faster. They are designing fundamentally differently, with AI embedded at the core of their workflows. Neural Concept builds the Engineering AI platform that makes this possible. We help the world's leading engineering teams accelerate development, improve product outcomes, and scale engineering capacity, turning months of simulation into days and engineering intuition into data-driven insight. We work with elite engineering teams in Automotive, Aerospace, High-Tech and Electronics, and advanced manufacturing, where the stakes are high, the complexity is rising, and the pressure to innovate has never been greater. We are changing how engineers work. Come build that future with us. About the Role As a Solution Engineer, you sit at the intersection of engineering credibility and strategic influence. You are the person in the room who can connect a VP's business challenge to a concrete, well-scoped AI solution, and who knows Neural Concept's platform and roadmap well enough to make that connection land with confidence. This is not a purely technical role, and it is not a pure sales role. You are a trusted advisor: someone who earns credibility through engineering background and product depth, and who builds long-term account relationships by consistently framing the right problems and the right solutions at the right moment. You drive the full pre-sales motion, from discovery to demo to signed Statement of Work, and you remain the account's technical compass through the client lifecycle, identifying and shaping expansion opportunities. What you will do Position NC as a long-term strategic partner and trusted engineering advisor across engineering teams, managers, and VPs Lead structured discovery sessions to identify where NC creates the most impact, framing use cases that are technically feasible and commercially grounded Define the AI strategy and technical roadmap for each account, translating NC's capabilities and product direction into a multi-horizon vision Create and deliver compelling, client-tailored demos and presentations grounded in the client's engineering workflows, technically credible and aligned with the vision Create and co-own the Statement of Work, with deep understanding of the technical building blocks and how these transform the client's existing workflows Prepare and run Steering Committees, connecting engineering challenges to strategic outcomes Drive user adoption and engagement across technical users, managers, and designers, ensuring NC is embedded in daily workflows and engineering champions emerge Identify upsell and expansion opportunities from account knowledge and commercial signals, and shape them into well-scoped proposals Collaborate with the Sales team to advance and close deals, with the Forward Deployed Engineering team to ensure smooth pre-sales to delivery transitions, and surface client insights to Product and R&D to inform roadmap priorities Who you are You hold an engineering degree (mechanical, aerospace, automotive, industrial, or similar) and have a solid understanding of CAD and CAE workflows, including where bottlenecks lie and what it takes to transform those workflows with AI You are naturally curious and people-driven. You earn trust through genuine interest in client challenges and make engineers and executives feel understood You are proactive and commercially driven. You move accounts forward without being asked, spot opportunities early, and bring structure to ambiguous situations You are a confident challenger. You ask uncomfortable questions, reframe assumptions, and guide clients toward better outcomes even when it requires pushing back You are an outstanding communicator: you own executive conversations, drive narrative with clarity, and connect engineering problems to strategic outcomes You understand AI and machine learning applied to engineering at a conceptual level, and are comfortable creating demos and prototypes using AI-assisted tools with working knowledge of Python and modern development practices You have experience in a client-facing role: pre-sales, solutions consulting, technical account management, or engineering consulting You are fluent in English Add other language requirements depending on region What Will Set You Apart You have deep, hands-on simulation experience: full pipelines from CAD to post-processing, solver experience, and workflow automation You are a strong programmer: you write clean Python, build data pipelines, and are comfortable in ML-DL frameworks including model training, evaluation, and deployment You can go deep in technical discovery: dive into customer toolchains, data environments, and simulation setups to assess feasibility at the level a simulation engineer would respect You can build end-to-end engineering workflow demos from scratch, rapidly prototyping the full arc from design generation and simulation to data pipelines, model training, and application deployment using agentic development tools Nice-to-Have Strategic or technical consulting background, executing digital transformations Previous experience working in engineering software companies or using engineering software tools (e.g., Ansys, Altair, Siemens, Dassault Systèmes, or Autodesk) Background in ML-DL research or development in an engineering context Experience automating CAE workflows (scripting, batch processing, surrogate model pipelines) What You Get Work with a world-class technology team - our engineers are top-notch, and we always aim for excellence. Benefit from a competitive salary and rewarding opportunities as we continue to scale. Thrive in a collaborative, multicultural environment where your work is visible and recognized. Develop professionally alongside talented colleagues who share knowledge freely and support one another. Make a global impact by helping customers shift to AI-assisted design, making innovation faster, smarter, and more sustainable. Balance life and work with a hybrid model and flexible hours-we care about results, not rigid schedules. Where You Will Be Based in the UK (Midlands preferred, with flexibility) 30% travel required (UK & EMEA) We're proud to be an equal opportunity employer, and we're committed to building a diverse and inclusive environment where you can thrive.
The Group AI team owns Sky's enterprise-wide AI ambition, strategy and roadmap to deliver meaningful business value and embed AI into the fabric of how Sky operates. Within this, the Workflow Transformation team is responsible for accelerating Sky's Agentic transformation, embedding forward deployed teams within business functions to reimagine AI-enabled work, design AI solutions and collaboratively deliver deployments alongside technology and the other Group AI teams. As AI Product Manager, you will translate business opportunities into detailed product requirements, managing the delivery of AI solutions from design through to deployment and iteration. Working as part of forward deployed teams, you will configure and ship no-code solutions yourself for simpler use cases, while coordinating with technology on more complex custom builds. You will create PRDs, manage backlogs and oversee deployment and adoption to ensure delivered solutions meet business needs and create measurable value. This is a great opportunity to help shape how AI changes the way Sky operates, moving from ideas and experimentation into practical solutions that make a measurable difference for teams across the business. What you'll do Partner with AI Workflow Analysts throughout discovery and design, shaping opportunities and co-creating practical AI solutions Translate business needs into clear Product Requirements Documents (PRDs), defining both functional and non-functional requirements Own and prioritise the AI product backlog, coordinating delivery with technology teams through sprint planning and agile ceremonies Build and deploy no-code solutions, including agent workflows and simple automations that connect systems and APIs Create mock-ups, prototypes and proof-of-concepts to validate ideas, evolve requirements and accelerate delivery Oversee solution deployment, monitoring performance, adoption and user feedback to drive continuous improvement through rapid iteration Troubleshoot issues, resolve blockers and work closely with delivery teams to maintain momentum and value realisation What you'll bring Experience in product management, technical business analysis or solution delivery, with the proven ability to define clear requirements, prioritise backlogs and drive successful outcomes An AI power user and relentless experimenter, constantly testing new agent frameworks and no/low-code platforms (e.g. Copilot Studio, n8n, Zapier, Custom GPTs or equivalent) to understand capabilities and bring frontier knowledge into delivery Strong understanding of LLM design concepts including prompt engineering, context windows, tool calling and MCP, guardrails, evaluations and Responsible AI Understanding of data quality, structure and pipeline requirements, with ability to proactively identify data inputs and context needed to curate high quality AI inference Familiarity with agile methodologies and foundational software delivery concepts including user stories, acceptance criteria, dependencies and integrations Strong coordination skills with ability to translate between business and technical stakeholders and navigate organisational complexity Excellent written and verbal communication skills, with confidence presenting recommendations, insights and solutions to senior stakeholders Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here's a taster: Free Sky TV or NOW package, including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you'll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 3 days in the office per week. Your office base Our Sky Group HQ. Equipped withstate-of-the-arttechnology and workspaces,there'splenty of space to see yourbig ideascome to life. Hereyou'llfind 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley,Gunnersburyand Ealing Broadway stations.Plus, there'sfreeonsite parking available for cars,motorbikesand bicycles. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We're an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates.We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search on social media.
26/07/2026
Full time
The Group AI team owns Sky's enterprise-wide AI ambition, strategy and roadmap to deliver meaningful business value and embed AI into the fabric of how Sky operates. Within this, the Workflow Transformation team is responsible for accelerating Sky's Agentic transformation, embedding forward deployed teams within business functions to reimagine AI-enabled work, design AI solutions and collaboratively deliver deployments alongside technology and the other Group AI teams. As AI Product Manager, you will translate business opportunities into detailed product requirements, managing the delivery of AI solutions from design through to deployment and iteration. Working as part of forward deployed teams, you will configure and ship no-code solutions yourself for simpler use cases, while coordinating with technology on more complex custom builds. You will create PRDs, manage backlogs and oversee deployment and adoption to ensure delivered solutions meet business needs and create measurable value. This is a great opportunity to help shape how AI changes the way Sky operates, moving from ideas and experimentation into practical solutions that make a measurable difference for teams across the business. What you'll do Partner with AI Workflow Analysts throughout discovery and design, shaping opportunities and co-creating practical AI solutions Translate business needs into clear Product Requirements Documents (PRDs), defining both functional and non-functional requirements Own and prioritise the AI product backlog, coordinating delivery with technology teams through sprint planning and agile ceremonies Build and deploy no-code solutions, including agent workflows and simple automations that connect systems and APIs Create mock-ups, prototypes and proof-of-concepts to validate ideas, evolve requirements and accelerate delivery Oversee solution deployment, monitoring performance, adoption and user feedback to drive continuous improvement through rapid iteration Troubleshoot issues, resolve blockers and work closely with delivery teams to maintain momentum and value realisation What you'll bring Experience in product management, technical business analysis or solution delivery, with the proven ability to define clear requirements, prioritise backlogs and drive successful outcomes An AI power user and relentless experimenter, constantly testing new agent frameworks and no/low-code platforms (e.g. Copilot Studio, n8n, Zapier, Custom GPTs or equivalent) to understand capabilities and bring frontier knowledge into delivery Strong understanding of LLM design concepts including prompt engineering, context windows, tool calling and MCP, guardrails, evaluations and Responsible AI Understanding of data quality, structure and pipeline requirements, with ability to proactively identify data inputs and context needed to curate high quality AI inference Familiarity with agile methodologies and foundational software delivery concepts including user stories, acceptance criteria, dependencies and integrations Strong coordination skills with ability to translate between business and technical stakeholders and navigate organisational complexity Excellent written and verbal communication skills, with confidence presenting recommendations, insights and solutions to senior stakeholders Benefits and perks There's one thing people can't stop talking about when it comes to life at Sky: the perks. Here's a taster: Free Sky TV or NOW package, including Sky Sports and Sky Cinema Pension package with up to 9% employer contribution Private healthcare with mental health support Aviva Digital GP and dental insurance Discounts on Sky products, including Sky Mobile, Sky Broadband, Sky Glass and Sky Protect Sharesave and Tech schemes A range of Sky VIP rewards and experiences How you'll work We've adopted a hybrid working approach to give more flexibility on where and how we work. The hybrid working expectations for this role are 3 days in the office per week. Your office base Our Sky Group HQ. Equipped withstate-of-the-arttechnology and workspaces,there'splenty of space to see yourbig ideascome to life. Hereyou'llfind 13 subsidised restaurants and cafes. You can re-energise at our gym, catch the latest films at our cinema, get your car washed and even get pampered at our beauty salon. Our Osterley Campus is just a 10-minute walk from Syon Lane train station, or you can get one of our free shuttle buses from Osterley,Gunnersburyand Ealing Broadway stations.Plus, there'sfreeonsite parking available for cars,motorbikesand bicycles. Who we are We're Sky, a leading media and entertainment company who connect millions with entertainment, sports, news and arts through innovative products and services. Working with us means you'll be bringing the joy of a better experience to more people, every day. All so we can do better and deliver better for our customers, colleagues and society. We're an equal opportunity employer and value diversity at our company. We're a Disability Confident Accredited Employer, and welcome and encourage applications from all candidates.We will look to ensure a fair and consistent experience for all and will make reasonable adjustments to support you where appropriate. Please flag any adjustments you need as early as you can. Just so you know: if your application is successful, we'll ask you to complete a criminal record check. And depending on the role you have applied for and the nature of any convictions you may have, we might have to withdraw the offer. To be eligible for this role you are required to have the appropriate right to work in the UK. Please be aware Sky does not offer sponsorship for this position. To find out more about working with us, search on social media.
Biorelate Limited is hiring a Forward Deployed Engineer to work directly with customers as they integrate our knowledge graph into their systems. The role blends customer delivery (about 70%) with core platform work (about 30%), in a fully remote UK-focused team. You will lead customer integrations, design AI and agent workflow integrations, and collaborate on technical scoping to validate feasibility and plan realistic implementations for scientific customers.
26/07/2026
Full time
Biorelate Limited is hiring a Forward Deployed Engineer to work directly with customers as they integrate our knowledge graph into their systems. The role blends customer delivery (about 70%) with core platform work (about 30%), in a fully remote UK-focused team. You will lead customer integrations, design AI and agent workflow integrations, and collaborate on technical scoping to validate feasibility and plan realistic implementations for scientific customers.
Senior Software Engineer - Risk Valuation Platform Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Risk & Performance Platform group delivers industry-leading analytical solutions for cross-asset valuation, financial risk modelling, and portfolio performance attribution. These solutions power Bloomberg's flagship enterprise products and serve a broad range of businesses across the financial industry. The Risk Valuation Platform is the central component within the group. We own a cross-asset distributed calculations platform offering financial risk calculations for various Bloomberg Enterprise solutions. Our system runs billions of calculations a day with a guarantee of 24 hour availability, flexibly serving both batch and on demand traffic across hundreds of machines. The team sits at the intersection of finance and high scale infrastructure, working directly with product owners and engineering teams across departments, with exposure to derivatives pricing, market data, and financial risk calculations. Our projects span a broad scope - from building new workflows and analytics delivered directly to end users, to longer term strategic goals such as rearchitecting our market data management systems, building proactive batch monitoring, and collaborating across risk teams to deliver a single unified firm wide API. We collaborate closely with other teams in the larger Risk & Performance Platform department and work daily with our product counterparts to move the platform forward and influence its direction. We are dedicated to sharing our knowledge regularly and to creating a collaborative environment. We are looking for software engineers who share our team's passion for building robust, high scale systems in a fast paced, client driven environment. What's in it for you? You will be joining an enthusiastic team of talented C++ engineers, passionate about our platform, and proud to build industry leading risk solutions for our clients. Collaboration and teamwork are part of our DNA. You will work in a high impact team delivering billions of calculations across diverse workflows, gaining deep experience with a large distributed system deployed at true enterprise scale. You will contribute to a large, modernised C++ codebase alongside experienced engineers. We follow developer experience best practices and actively invest in modernising our tooling and infrastructure. You will work closely with our product partners, and take a leading role in designing and delivering new solutions - from initial stakeholder conversations through design, implementation, release, and production. You will deepen your understanding of the financial domain, working alongside market data and derivative pricing teams and experts in our product department. You'll need to have: Professional experience with financial markets, derivatives pricing, or risk calculations Commercial experience building products in an object oriented programming language A passion for software engineering and building robust systems that can be evolved over time A desire to own the software you build - managing stakeholders across engineering and product, and driving work through development, release, and production Excellent communication skills A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience We'd love to see: Experience programming in C++ Experience working with large scale distributed systems Familiarity using Continuous Integration and Continuous Deployment tools Familiarity with AI assisted coding tools If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer.
26/07/2026
Full time
Senior Software Engineer - Risk Valuation Platform Location London Business Area Engineering and CTO Ref # Description & Requirements Bloomberg's Risk & Performance Platform group delivers industry-leading analytical solutions for cross-asset valuation, financial risk modelling, and portfolio performance attribution. These solutions power Bloomberg's flagship enterprise products and serve a broad range of businesses across the financial industry. The Risk Valuation Platform is the central component within the group. We own a cross-asset distributed calculations platform offering financial risk calculations for various Bloomberg Enterprise solutions. Our system runs billions of calculations a day with a guarantee of 24 hour availability, flexibly serving both batch and on demand traffic across hundreds of machines. The team sits at the intersection of finance and high scale infrastructure, working directly with product owners and engineering teams across departments, with exposure to derivatives pricing, market data, and financial risk calculations. Our projects span a broad scope - from building new workflows and analytics delivered directly to end users, to longer term strategic goals such as rearchitecting our market data management systems, building proactive batch monitoring, and collaborating across risk teams to deliver a single unified firm wide API. We collaborate closely with other teams in the larger Risk & Performance Platform department and work daily with our product counterparts to move the platform forward and influence its direction. We are dedicated to sharing our knowledge regularly and to creating a collaborative environment. We are looking for software engineers who share our team's passion for building robust, high scale systems in a fast paced, client driven environment. What's in it for you? You will be joining an enthusiastic team of talented C++ engineers, passionate about our platform, and proud to build industry leading risk solutions for our clients. Collaboration and teamwork are part of our DNA. You will work in a high impact team delivering billions of calculations across diverse workflows, gaining deep experience with a large distributed system deployed at true enterprise scale. You will contribute to a large, modernised C++ codebase alongside experienced engineers. We follow developer experience best practices and actively invest in modernising our tooling and infrastructure. You will work closely with our product partners, and take a leading role in designing and delivering new solutions - from initial stakeholder conversations through design, implementation, release, and production. You will deepen your understanding of the financial domain, working alongside market data and derivative pricing teams and experts in our product department. You'll need to have: Professional experience with financial markets, derivatives pricing, or risk calculations Commercial experience building products in an object oriented programming language A passion for software engineering and building robust systems that can be evolved over time A desire to own the software you build - managing stakeholders across engineering and product, and driving work through development, release, and production Excellent communication skills A Degree in Computer Science, Engineering, Mathematics, similar field of study or equivalent work experience We'd love to see: Experience programming in C++ Experience working with large scale distributed systems Familiarity using Continuous Integration and Continuous Deployment tools Familiarity with AI assisted coding tools If indicated, please note that years of experience are a guide; we will consider applications from all candidates who can demonstrate the skills necessary for the role. Bloomberg is an equal opportunity employer and we value diversity at our company. We do not discriminate on the basis of age, ancestry, color, gender identity or expression, genetic predisposition or carrier status, marital status, national or ethnic origin, race, religion or belief, sex, sexual orientation, sexual and other reproductive health decisions, parental or caring status, physical or mental disability, pregnancy or parental leave, protected veteran status, status as a victim of domestic violence, or any other classification protected by applicable law. Bloomberg is a disability inclusive employer.
Dayjob.AI is hiring a founding Forward Deployed Engineer to deploy AI-driven optimization for fleets in the UK. You will work directly with founders, sales, and customers to integrate existing systems, tune the model to real-world operations, and ensure successful go-lives on-site. You will own technical success for UK deployments, with travel to US sites as needed, and build useful fleet-performance reports. The role blends software and field operations to shape Dayjob's product and expansion.
26/07/2026
Full time
Dayjob.AI is hiring a founding Forward Deployed Engineer to deploy AI-driven optimization for fleets in the UK. You will work directly with founders, sales, and customers to integrate existing systems, tune the model to real-world operations, and ensure successful go-lives on-site. You will own technical success for UK deployments, with travel to US sites as needed, and build useful fleet-performance reports. The role blends software and field operations to shape Dayjob's product and expansion.
Dayjob - Founding Forward Deployed Engineer Location: United Kingdom (on-site) Company: Dayjob.AI About Dayjob (YC P26) DayJob builds AI agents for short-haul trucking - a $45bn market still run on spreadsheets, phone calls and software from the 1990s. We've just completed Y Combinator, are scaling towards $1M ARR, growing 20% month-on-month, and launching in the US. Our customers include some of the largest waste and recycling operators in the UK and US, and we're backed by leading investors including Paul Graham (Founder of Y Combinator) and Harry Stebbings (Founder of 20VC). If you want to deploy AI inside real operations - and on the ground as we launch new customers - this is the role. Founding Team Fred & George met at the University of Oxford. George (CEO) was Head of Sales at Otta and launched Deliveroo's Grocery division, scaling it to £100M GMV. Fred (CTO) builds products that optimise complex supply chains using AI and advanced analytics. The Role: Forward Deployed Engineer This is a rare opportunity to be our first FDE on the ground, sitting at the front line of every customer deployment. You'll work directly with the founders, the sales team, and our customers to get fleets live on Dayjob: integrating their existing systems, tuning the optimization model so plans hold up against reality, and feeding what you learn back into the product. This is not a back-office engineering role - you'll be where the software meets the operation, owning the technical success of our UK customers end-to-end. What You'll Work On Owning the optimisation model settings for our customers - speed factors, service times, depot and tip times, zones, vehicle types, and time-window constraints - and validating them against real GPS and job-completion data. Supporting sales by setting up and tuning the model for demos, trials, and proofs of concept, so prospects see plans that reflect how their fleet really runs. Integrating customers' legacy ERP, job-management systems and vehicle telematics with Dayjob, on-site - mapping data, designing the flows, and building the connections. Acting as first-line technical support for your customers during go-live: triaging issues, diagnosing whether the problem is data, settings, or platform, and escalating cleanly to engineering. Gathering customer requirements and translating them into clear input for product and engineering. Writing SQL and building reports (e.g. in Metabase) on fleet performance, jobs-per-hour, utilisation, and plan quality. Who You Are We're looking for a strong technical generalist who is happy being the person a customer relies on, in messy real-world environments. You likely have: 3+ years in a technical, customer-facing role (forward deployed / solutions / integration / implementation engineering or similar). Strong SQL - you can write your own queries against a non-trivial schema and read the results critically. Experience integrating systems, ideally including legacy or ERP-style platforms with imperfect data (APIs, file-based pipelines, data mapping). Comfort working with messy operational data and edge-case-heavy workflows. Clear communication with non-technical operators, and a willingness to travel to US customer sites. An ownership mindset - you diagnose root causes, follow through, and keep customers unblocked. Bonus If You've Worked On Contributing to a production codebase where it helps a deployment land. Internal tooling and back-office apps (e.g. Retool) - this role can grow into owning the customer-specific tooling we build. Logistics, fleet management, routing/VRP, or the waste and recycling sector. Optimisation- or scheduling-adjacent products, and a sense of what makes a plan good or bad. What We Offer Competitive salary Meaningful equity 25 days holiday + your birthday off Moorgate office 4 days a week Learning & development budget A foundational role shaping how Dayjob scales Application Process Intro call with the team (30 mins) Technical interview (60 mins) Final round (30 mins)
26/07/2026
Full time
Dayjob - Founding Forward Deployed Engineer Location: United Kingdom (on-site) Company: Dayjob.AI About Dayjob (YC P26) DayJob builds AI agents for short-haul trucking - a $45bn market still run on spreadsheets, phone calls and software from the 1990s. We've just completed Y Combinator, are scaling towards $1M ARR, growing 20% month-on-month, and launching in the US. Our customers include some of the largest waste and recycling operators in the UK and US, and we're backed by leading investors including Paul Graham (Founder of Y Combinator) and Harry Stebbings (Founder of 20VC). If you want to deploy AI inside real operations - and on the ground as we launch new customers - this is the role. Founding Team Fred & George met at the University of Oxford. George (CEO) was Head of Sales at Otta and launched Deliveroo's Grocery division, scaling it to £100M GMV. Fred (CTO) builds products that optimise complex supply chains using AI and advanced analytics. The Role: Forward Deployed Engineer This is a rare opportunity to be our first FDE on the ground, sitting at the front line of every customer deployment. You'll work directly with the founders, the sales team, and our customers to get fleets live on Dayjob: integrating their existing systems, tuning the optimization model so plans hold up against reality, and feeding what you learn back into the product. This is not a back-office engineering role - you'll be where the software meets the operation, owning the technical success of our UK customers end-to-end. What You'll Work On Owning the optimisation model settings for our customers - speed factors, service times, depot and tip times, zones, vehicle types, and time-window constraints - and validating them against real GPS and job-completion data. Supporting sales by setting up and tuning the model for demos, trials, and proofs of concept, so prospects see plans that reflect how their fleet really runs. Integrating customers' legacy ERP, job-management systems and vehicle telematics with Dayjob, on-site - mapping data, designing the flows, and building the connections. Acting as first-line technical support for your customers during go-live: triaging issues, diagnosing whether the problem is data, settings, or platform, and escalating cleanly to engineering. Gathering customer requirements and translating them into clear input for product and engineering. Writing SQL and building reports (e.g. in Metabase) on fleet performance, jobs-per-hour, utilisation, and plan quality. Who You Are We're looking for a strong technical generalist who is happy being the person a customer relies on, in messy real-world environments. You likely have: 3+ years in a technical, customer-facing role (forward deployed / solutions / integration / implementation engineering or similar). Strong SQL - you can write your own queries against a non-trivial schema and read the results critically. Experience integrating systems, ideally including legacy or ERP-style platforms with imperfect data (APIs, file-based pipelines, data mapping). Comfort working with messy operational data and edge-case-heavy workflows. Clear communication with non-technical operators, and a willingness to travel to US customer sites. An ownership mindset - you diagnose root causes, follow through, and keep customers unblocked. Bonus If You've Worked On Contributing to a production codebase where it helps a deployment land. Internal tooling and back-office apps (e.g. Retool) - this role can grow into owning the customer-specific tooling we build. Logistics, fleet management, routing/VRP, or the waste and recycling sector. Optimisation- or scheduling-adjacent products, and a sense of what makes a plan good or bad. What We Offer Competitive salary Meaningful equity 25 days holiday + your birthday off Moorgate office 4 days a week Learning & development budget A foundational role shaping how Dayjob scales Application Process Intro call with the team (30 mins) Technical interview (60 mins) Final round (30 mins)
Software Development Engineer, Data Center Builder Tools Job ID: Amazon Data Services UK Limited The Data Center Builder Tools team is looking for an innovative, self-directed Software Development Engineer to build the next generation of real-time middleware and runtime software that powers industrial control systems across AWS Data Centers worldwide. Contribute to Amazon's vision of developing the safest, most secure, reliable, and efficient data centers on Earth. As a Software Development Engineer II (SDE II) on this team, you will design and build the software that sits between industrial hardware and the cloud - a unified, real-time data plane that lets control applications, device drivers, and cloud services exchange data reliably on industrial computing hardware. This is deep systems work: you will shape the runtime, the communication layer, and the protocol integrations that everything else in the platform is built on. In this role you will: Design and build real-time middleware and runtime components - the data exchange layer, type system, and communication patterns (publish/subscribe and request/reply) that connect distributed control applications across languages and hardware. Integrate with industrial automation platforms and hardware protocols (e.g. IEC 61131-3, EtherCAT, PROFINET, Modbus, OPC-UA, IO-Link) and the device drivers that bridge them onto the platform. Build the bridge to the cloud - reliable metric publication, command handling, and telemetry from the edge into AWS, with the right delivery guarantees for each data class. Work at the boundary of distributed and real time systems, where correctness means both the right result and the right timing - bounded latency, predictable behavior, and graceful degradation when connectivity is lost. Partner with a cross functional team of hardware engineers, controls engineers, data center operations, and security specialists to take features from design through to hardware validation. If you're excited by low level systems, real time data movement, and connecting physical equipment to the cloud at scale, this is the role for you. Key job responsibilities As an SDE II on this team, you will own the design and delivery of the runtime and middleware components at the core of the platform. This is a hands on building role with significant technical ownership and accountability over how the system moves and models data. Your primary responsibilities will include: Architecting and implementing runtime and real time middleware - high performance, low latency components that run both on embedded/edge controllers and in the cloud, with a focus on determinism, reliability, and resource efficiency on constrained hardware. Building industrial protocol and hardware integrations - extending the platform with new device drivers and protocol support and solving the hard problems of cross language, cross platform data exchange (type systems, serialization, memory layout, and schema/versioning). Owning the edge to cloud communication path - designing how telemetry, metrics, and commands flow between devices and AWS services with appropriate quality of service, backpressure, and store and forward behavior. Engineering for real time correctness - reasoning about latency budgets, throughput, and failure modes in a distributed system where the software is adjacent to physical control loops. Raising the engineering bar - driving strong testing (unit, integration, and on hardware validation), performance benchmarking, code review, and operational excellence for the components you own. Collaborating across disciplines-working with hardware, controls, security, and operations partners to turn ambiguous requirements into robust, shippable software. Mentoring and contributing to technical direction - guiding more junior engineers and helping shape the roadmap for the runtime and middleware layer. The ideal candidate has a strong systems software background and experience across several of the following: real time or embedded systems, industrial automation platforms and hardware protocols, distributed systems, middleware/messaging (pub/sub, RPC), and cloud communication. You are comfortable working close to the metal, memory, concurrency, and serialization timing and equally comfortable reasoning about how edge components integrate with cloud services. Strong problem solving skills, attention to correctness in the face of hardware and timing constraints, and the ability to work effectively in a fast paced, cross functional environment are essential. Experience with Rust, C/C++, or Python, and with technologies such as Industrial automation platforms, OPC UA, DDS/Zenoh or similar real time middleware, is a strong advantage. A day in the life AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. About the team The Data Center Builder Tools team develops tooling for device frameworks, and device lifecycle management in AWS Data Centers. This includes both frontend and backend services use by internal development teams and on site customers. Our tools power the industrial controls systems deployed in our data centers. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge sharing, mentorship and other career-advancing resources here to help you develop into a better rounded professional. Work/Life Balance We value work life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - Experience in professional, non internship software development - Experience programming with at least one modern language such as Java, C++, or C# including object oriented design - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations, or experience in development in the last 3 years - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems, or experience building complex software systems that have been successfully delivered to customers - Experience programming with at least one software programming language, or experience in professional, non internship software development Preferred Qualifications - Bachelor's degree in computer science or equivalent - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Bachelor's degree or equivalent in Computer Science - Experience in embedded development in C/C++, or experience programming with at least one software programming language - Experience with general troubleshooting/debugging of hardware, or experience in development in the last 3 years Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability . click apply for full job details
26/07/2026
Full time
Software Development Engineer, Data Center Builder Tools Job ID: Amazon Data Services UK Limited The Data Center Builder Tools team is looking for an innovative, self-directed Software Development Engineer to build the next generation of real-time middleware and runtime software that powers industrial control systems across AWS Data Centers worldwide. Contribute to Amazon's vision of developing the safest, most secure, reliable, and efficient data centers on Earth. As a Software Development Engineer II (SDE II) on this team, you will design and build the software that sits between industrial hardware and the cloud - a unified, real-time data plane that lets control applications, device drivers, and cloud services exchange data reliably on industrial computing hardware. This is deep systems work: you will shape the runtime, the communication layer, and the protocol integrations that everything else in the platform is built on. In this role you will: Design and build real-time middleware and runtime components - the data exchange layer, type system, and communication patterns (publish/subscribe and request/reply) that connect distributed control applications across languages and hardware. Integrate with industrial automation platforms and hardware protocols (e.g. IEC 61131-3, EtherCAT, PROFINET, Modbus, OPC-UA, IO-Link) and the device drivers that bridge them onto the platform. Build the bridge to the cloud - reliable metric publication, command handling, and telemetry from the edge into AWS, with the right delivery guarantees for each data class. Work at the boundary of distributed and real time systems, where correctness means both the right result and the right timing - bounded latency, predictable behavior, and graceful degradation when connectivity is lost. Partner with a cross functional team of hardware engineers, controls engineers, data center operations, and security specialists to take features from design through to hardware validation. If you're excited by low level systems, real time data movement, and connecting physical equipment to the cloud at scale, this is the role for you. Key job responsibilities As an SDE II on this team, you will own the design and delivery of the runtime and middleware components at the core of the platform. This is a hands on building role with significant technical ownership and accountability over how the system moves and models data. Your primary responsibilities will include: Architecting and implementing runtime and real time middleware - high performance, low latency components that run both on embedded/edge controllers and in the cloud, with a focus on determinism, reliability, and resource efficiency on constrained hardware. Building industrial protocol and hardware integrations - extending the platform with new device drivers and protocol support and solving the hard problems of cross language, cross platform data exchange (type systems, serialization, memory layout, and schema/versioning). Owning the edge to cloud communication path - designing how telemetry, metrics, and commands flow between devices and AWS services with appropriate quality of service, backpressure, and store and forward behavior. Engineering for real time correctness - reasoning about latency budgets, throughput, and failure modes in a distributed system where the software is adjacent to physical control loops. Raising the engineering bar - driving strong testing (unit, integration, and on hardware validation), performance benchmarking, code review, and operational excellence for the components you own. Collaborating across disciplines-working with hardware, controls, security, and operations partners to turn ambiguous requirements into robust, shippable software. Mentoring and contributing to technical direction - guiding more junior engineers and helping shape the roadmap for the runtime and middleware layer. The ideal candidate has a strong systems software background and experience across several of the following: real time or embedded systems, industrial automation platforms and hardware protocols, distributed systems, middleware/messaging (pub/sub, RPC), and cloud communication. You are comfortable working close to the metal, memory, concurrency, and serialization timing and equally comfortable reasoning about how edge components integrate with cloud services. Strong problem solving skills, attention to correctness in the face of hardware and timing constraints, and the ability to work effectively in a fast paced, cross functional environment are essential. Experience with Rust, C/C++, or Python, and with technologies such as Industrial automation platforms, OPC UA, DDS/Zenoh or similar real time middleware, is a strong advantage. A day in the life AWS Infrastructure Services (AIS) owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we're the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain - and we're looking for talented people who want to help. You'll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You'll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you'll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. About the team The Data Center Builder Tools team develops tooling for device frameworks, and device lifecycle management in AWS Data Centers. This includes both frontend and backend services use by internal development teams and on site customers. Our tools power the industrial controls systems deployed in our data centers. Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn't followed a traditional path, or includes alternative experiences, don't let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world's most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating - that's why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it's in our nature to learn and be curious. Our employee led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We're continuously raising our performance bar as we strive to become Earth's Best Employer. That's why you'll find endless knowledge sharing, mentorship and other career-advancing resources here to help you develop into a better rounded professional. Work/Life Balance We value work life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there's nothing we can't achieve in the cloud. Basic Qualifications - Experience in professional, non internship software development - Experience programming with at least one modern language such as Java, C++, or C# including object oriented design - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations, or experience in development in the last 3 years - Experience designing or architecting (design patterns, reliability and scaling) of new and existing systems, or experience building complex software systems that have been successfully delivered to customers - Experience programming with at least one software programming language, or experience in professional, non internship software development Preferred Qualifications - Bachelor's degree in computer science or equivalent - Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations - Bachelor's degree or equivalent in Computer Science - Experience in embedded development in C/C++, or experience programming with at least one software programming language - Experience with general troubleshooting/debugging of hardware, or experience in development in the last 3 years Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( ) to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability . click apply for full job details
Beam, a forward-thinking social-impact tech company based in the UK, is seeking a Forward Deployed Engineer to lead AI-powered template deployment across real-world frontline settings. You will collaborate with clinicians and social workers, deploying AI templates and workflows while ensuring outputs are accurate, compliant, and user-friendly. The role emphasizes data privacy, cross-functional teamwork, and a strong ownership mindset, with remote-friendly and hybrid working options as Beam
26/07/2026
Full time
Beam, a forward-thinking social-impact tech company based in the UK, is seeking a Forward Deployed Engineer to lead AI-powered template deployment across real-world frontline settings. You will collaborate with clinicians and social workers, deploying AI templates and workflows while ensuring outputs are accurate, compliant, and user-friendly. The role emphasizes data privacy, cross-functional teamwork, and a strong ownership mindset, with remote-friendly and hybrid working options as Beam
Minimum qualifications: Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience with software development using Python or similar coding languages. Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions. Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., the company Cloud Platform). Experience leading technical discovery sessions with customers. Ability to communicate in French or German fluently as this is a customer-facing role that requires interactions in French or German with local stakeholders. Preferred qualifications: Master's degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Experience in a post-sales or technical consulting delivery function. Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Ability to travel to regional stakeholders, as needed. About the job As a Forward Deployed Engineer (FDE) in the the company Cloud Consulting organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. This role is designed for high-agency engineers with a founder's mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into the company Cloud's future product roadmap. It's an exciting time to join the company Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging the company's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours. Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between the company's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team. Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency. Identify repeatable field patterns and friction points in the company's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. Co-build with pre-sales and product teams to instill the company-grade development best practices, ensuring long-term project success and high end-user adoption. the company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
26/07/2026
Full time
Minimum qualifications: Bachelor's degree in Engineering, Computer Science, a related field, or equivalent practical experience. 8 years of experience with software development using Python or similar coding languages. Experience building pipelines for structured and unstructured data using both vector databases and RAG-like architectures to power enterprise AI solutions. Experience taking production-grade AI-driven solutions from conception to launch, and architecting AI systems on cloud platforms (e.g., the company Cloud Platform). Experience leading technical discovery sessions with customers. Ability to communicate in French or German fluently as this is a customer-facing role that requires interactions in French or German with local stakeholders. Preferred qualifications: Master's degree or PhD in AI, Computer Science, or a related technical field. Experience implementing multi-agent systems using frameworks (e.g., LangGraph, CrewAI, ADK) and complex patterns (e.g., ReAct, self-reflection, hierarchical delegation). Experience in a post-sales or technical consulting delivery function. Knowledge of Large Language Model (LLM) native metrics (e.g., tokens/sec, cost-per-request) and techniques for optimizing state management and granular tracing. Ability to travel to regional stakeholders, as needed. About the job As a Forward Deployed Engineer (FDE) in the the company Cloud Consulting organization, you will be an embedded builder who bridges the gap between frontier AI products and production-grade reality within customers. Unlike traditional advisory roles, you will function as an innovator-builder, moving beyond high-level architecture to code, debug, and jointly ship bespoke agentic solutions directly within the customer's environment. This role is designed for high-agency engineers with a founder's mindset. You will address blockers to production including solving the integration complexities, data readiness issues, and state-management issues that prevent AI from reaching enterprise-grade maturity. By embedding with accounts, you will serve a dual purpose: providing white glove deployment of complex AI systems and acting as a critical feedback loop, transforming real-world field insights into the company Cloud's future product roadmap. It's an exciting time to join the company Cloud's Go-To-Market team, leading the AI revolution for businesses worldwide. You'll excel by leveraging the company's brand credibility-a legacy built on inventing foundational technologies and proven at scale. We'll provide you with the world's most advanced AI portfolio, including frontier Gemini models, and the complete Vertex AI platform, helping you to solve business problems. We're a collaborative culture providing direct access to DeepMind's engineering and research minds, empowering you to solve customer challenges. Join us to be the catalyst for our mission, drive customer success, and define the new cloud era-the market is yours. Responsibilities Serve as a developer for complex AI applications, transitioning from rapid prototypes to production-grade agentic workflows (e.g., multi-agent systems, MCP servers) that drive measurable Return on Investment (ROI). Architect and code the connective tissue between the company's AI products and customer's live infrastructure, including APIs, legacy data silos, and security perimeters as part of an expert team. Build high-performance evaluation pipelines and observability frameworks to ensure agentic systems meet requirements for accuracy, safety, and latency. Identify repeatable field patterns and friction points in the company's AI stack, converting them into reusable modules or formal product feature requests for the Engineering teams. Co-build with pre-sales and product teams to instill the company-grade development best practices, ensuring long-term project success and high end-user adoption. the company is proud to be an equal opportunity workplace and is an affirmative action employer. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or Veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirements. See also the company's EEO Policy and EEO is the Law. If you have a disability or special need that requires accommodation, please let us know by completing our Accommodations for Applicants form.
About Edra Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations. We're a Series A startup, backed by Sequoia and other leading VC firms, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build. The Role We're building a learning system that teaches AI agents how enterprises actually work. Our system ingests knowledge bases, conversations, tickets, and system logs, then produces written instructions that agents can execute-with confidence scoring to know when to automate and when to seek human input. We're looking for Forward Deployed AI Engineers who have built complex, production LLM-based systems, and want to work directly with our enterprise customers. Whether you've scaled LLM workflows handling millions of requests, built multi-agent systems in production, or designed evaluation frameworks for enterprise deployments, we want people who bring intensity and self-direction to their craft. You'll own the full technical journey: understanding how an operation works, identifying the right problem, designing and building the solution, shipping it to production, driving adoption, and expanding its impact. This is an engineering role: you'll write production code, make architectural decisions, build agentic systems, and take responsibility for the outcome. What You’ll Do Work directly with enterprise customers to identify new problems, prototype solutions, and ship them to production Own customer engagements from discovery and solution design through production, adoption, and expansion. Design and implement LLM-powered systems and agentic workflows from concept to production Use and extend our core context-learning library to solve customer problems, contributing reusable capabilities and lessons back into the platform. Build agentic features for knowledge management-think agents that can edit, update, and maintain large knowledge bases autonomously Build reliability and confidence systems-evaluation frameworks, confidence scoring, and logic for when to automate vs. when to escalate to a human Architect async, scalable systems that handle complex AI orchestration What We're Looking For You’ve built complex, production LLM-based systems with real depth-something with multiple layers of engineering decisions you can walk through in detail You’ve shipped something meaningful to production and can explain how it evolved You're excited by open-ended problems where the solution might not exist yet You have experience with (or strong interest in) how systems learn and improve over time: human-in-the-loop feedback, prompt optimization and context engineering You have experience building agents and autonomous systems You can navigate between research papers and production code with equal comfort You bring customer empathy and commercial judgment, and remain effective when requirements, data, or expectations are unclear. You're a strong communicator who can clearly explain your work to teammates and customers You have 3+ years of professional experience Don't meet all of the above traits? We'd still love to hear from you. We're looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets. Learn More About Edra Watch our Series A announcement video Read our blog post from our launch Learn more about what we’re building A Few Details Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.
26/07/2026
Full time
About Edra Edra is solving one of the hardest problems in enterprise AI: AI models are generic but company processes are specific. We build AI agents that learn how processes actually run, and then run their operations. We're a Series A startup, backed by Sequoia and other leading VC firms, and we're growing our team in New York and London. We're a deeply technical team of engineers, AI researchers, and strategists with a high bar for talent and a shared belief that exceptional people are the foundation of everything great we'll build. The Role We're building a learning system that teaches AI agents how enterprises actually work. Our system ingests knowledge bases, conversations, tickets, and system logs, then produces written instructions that agents can execute-with confidence scoring to know when to automate and when to seek human input. We're looking for Forward Deployed AI Engineers who have built complex, production LLM-based systems, and want to work directly with our enterprise customers. Whether you've scaled LLM workflows handling millions of requests, built multi-agent systems in production, or designed evaluation frameworks for enterprise deployments, we want people who bring intensity and self-direction to their craft. You'll own the full technical journey: understanding how an operation works, identifying the right problem, designing and building the solution, shipping it to production, driving adoption, and expanding its impact. This is an engineering role: you'll write production code, make architectural decisions, build agentic systems, and take responsibility for the outcome. What You’ll Do Work directly with enterprise customers to identify new problems, prototype solutions, and ship them to production Own customer engagements from discovery and solution design through production, adoption, and expansion. Design and implement LLM-powered systems and agentic workflows from concept to production Use and extend our core context-learning library to solve customer problems, contributing reusable capabilities and lessons back into the platform. Build agentic features for knowledge management-think agents that can edit, update, and maintain large knowledge bases autonomously Build reliability and confidence systems-evaluation frameworks, confidence scoring, and logic for when to automate vs. when to escalate to a human Architect async, scalable systems that handle complex AI orchestration What We're Looking For You’ve built complex, production LLM-based systems with real depth-something with multiple layers of engineering decisions you can walk through in detail You’ve shipped something meaningful to production and can explain how it evolved You're excited by open-ended problems where the solution might not exist yet You have experience with (or strong interest in) how systems learn and improve over time: human-in-the-loop feedback, prompt optimization and context engineering You have experience building agents and autonomous systems You can navigate between research papers and production code with equal comfort You bring customer empathy and commercial judgment, and remain effective when requirements, data, or expectations are unclear. You're a strong communicator who can clearly explain your work to teammates and customers You have 3+ years of professional experience Don't meet all of the above traits? We'd still love to hear from you. We're looking for exceptional people with unique skills and interests, and we know that great people have different backgrounds and skillsets. Learn More About Edra Watch our Series A announcement video Read our blog post from our launch Learn more about what we’re building A Few Details Edra is an equal opportunity employer and we encourage applications from individuals of all backgrounds. Edra does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, marital status, sexual orientation, gender identity, veteran status, or any other legally protected characteristic.
Senior AI Engineer - 12 Months Contract - Canary Wharf Hybrid Start ASAP 40 Hour week Inside IR35 Required:- 5+ years of professional software engineering experience; ability to independently design & ship complex systems in production. Strong programming skills in Python (preferred), Java, or similar languages, with experience in developing microservices, APIs, & backend systems. Strong problem-solving skills & the ability to balance engineering rigor with delivery speed. Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), & modern DevOps practices. Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents & crew of agents etc.). Ability to move quickly while maintaining code quality, test coverage, & operational excellence. Senior AI Engineer preferred experience Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems. Hands-on experience with Retrieval Augmented Generation applications, AI agents & systems built around them. Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits. Exposure to working with unstructured data (documents, conversations, images) & transforming it into usable structured formats. Experience building chatbots, search systems, or generative AI interfaces. Background in working within platform engineering or internal developer tools teams. Prior experience working in an embedded (forward-deployed) team model with business stakeholders. Experience building production grade, reliable AI applications My client is looking for a Senior AI Engineer who think holistically, automate relentlessly, & are fluent in the fast-moving world of AI tooling & infrastructure-but grounded in disciplined engineering principles.My client's AI organization is building high-impact AI-powered applications that deliver real business value at speed. As a Senior AI Engineer, you'll play a critical role in building & deploying scalable AI-powered applications through solid software engineering excellence combined with pragmatic use of modern AI capabilities. This is a role for seasoned engineers who are excited about applying AI in practical & scalable ways. Looking for individuals who thrive at the intersection of disciplined software development & modern AI applications. You should be comfortable working across the full lifecycle of a product-from ideation & architecture to deployment & automation-while navigating ambiguity & driving toward execution. Strong systems thinking, ownership mindset, & the ability to ship value fast are essential. Senior AI Engineer Job Responsibilities Design, develop, & maintain production-grade AI applications & services using modern software engineering practices (CI/CD, testing, observability, cloud-native design). Define & implement foundational platforms & tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable & scalable across the enterprise. Participate in cross functional team initiatives-embedded projects with business stakeholders to rapidly build & deploy AI solutions that solve high-priority business problems. Evaluate & integrate existing AI tools, frameworks, & APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications. Champion automation in workflows-from data management ingestion & preprocessing to evaluation, to model integration & deployment. Collaborate with data scientists, product managers, & other engineers to ensure end-to-end delivery & reliability of AI products. Stay current with emerging AI technologies but prioritize practical application & delivery over experimental research. Contribute to the internal knowledge base, tooling libraries, & documentation to scale AI engineering best practices across the organization. With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining andManufacturingsectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.
26/07/2026
Full time
Senior AI Engineer - 12 Months Contract - Canary Wharf Hybrid Start ASAP 40 Hour week Inside IR35 Required:- 5+ years of professional software engineering experience; ability to independently design & ship complex systems in production. Strong programming skills in Python (preferred), Java, or similar languages, with experience in developing microservices, APIs, & backend systems. Strong problem-solving skills & the ability to balance engineering rigor with delivery speed. Solid understanding of software architecture, cloud infrastructure (AWS, Azure, or GCP), & modern DevOps practices. Experience integrating machine learning models into production systems (e.g., LLMs via APIs, fine-tuning, RAG patterns, embeddings, agents & crew of agents etc.). Ability to move quickly while maintaining code quality, test coverage, & operational excellence. Senior AI Engineer preferred experience Familiarity with AI/ML tools such as LangChain, Haystack, Hugging Face, Weaviate, or similar ecosystems. Hands-on experience with Retrieval Augmented Generation applications, AI agents & systems built around them. Experience using GenAI frameworks such as LlamaIndex, Crew AI, AutoGen, or similar agentic/LLM orchestration toolkits. Exposure to working with unstructured data (documents, conversations, images) & transforming it into usable structured formats. Experience building chatbots, search systems, or generative AI interfaces. Background in working within platform engineering or internal developer tools teams. Prior experience working in an embedded (forward-deployed) team model with business stakeholders. Experience building production grade, reliable AI applications My client is looking for a Senior AI Engineer who think holistically, automate relentlessly, & are fluent in the fast-moving world of AI tooling & infrastructure-but grounded in disciplined engineering principles.My client's AI organization is building high-impact AI-powered applications that deliver real business value at speed. As a Senior AI Engineer, you'll play a critical role in building & deploying scalable AI-powered applications through solid software engineering excellence combined with pragmatic use of modern AI capabilities. This is a role for seasoned engineers who are excited about applying AI in practical & scalable ways. Looking for individuals who thrive at the intersection of disciplined software development & modern AI applications. You should be comfortable working across the full lifecycle of a product-from ideation & architecture to deployment & automation-while navigating ambiguity & driving toward execution. Strong systems thinking, ownership mindset, & the ability to ship value fast are essential. Senior AI Engineer Job Responsibilities Design, develop, & maintain production-grade AI applications & services using modern software engineering practices (CI/CD, testing, observability, cloud-native design). Define & implement foundational platforms & tools (e.g., conversational bots, AI-powered search, unstructured data processing, GenBI) that are reusable & scalable across the enterprise. Participate in cross functional team initiatives-embedded projects with business stakeholders to rapidly build & deploy AI solutions that solve high-priority business problems. Evaluate & integrate existing AI tools, frameworks, & APIs (e.g., LLMs, vector DBs, retrieval-augmented generation, AI agents) into robust applications. Champion automation in workflows-from data management ingestion & preprocessing to evaluation, to model integration & deployment. Collaborate with data scientists, product managers, & other engineers to ensure end-to-end delivery & reliability of AI products. Stay current with emerging AI technologies but prioritize practical application & delivery over experimental research. Contribute to the internal knowledge base, tooling libraries, & documentation to scale AI engineering best practices across the organization. With over 90 years' combined experience, NES Fircroft (NES) is proud to be the world's leading engineering staffing provider spanning the Oil & Gas, Power & Renewables, Chemicals, Construction & Infrastructure, Life Sciences, Mining andManufacturingsectors worldwide. With more than 80 offices in 45 countries, we are able to provide our clients with the engineering and technical expertise they need, wherever and whenever it is needed. We offer contractors far more than a traditional recruitment service, supporting with everything from securing visas and work permits, to providing market-leading benefits packages and accommodation, ensuring they are safely and compliantly able to support our clients.
As a Senior Consultant in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect you to be an expert inall ofthe below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflect that. AI/ML Specialism You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End-to-end ML lifecycleexpertise: feature engineering, model training,evaluationand production deployment, includingMLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit-learn,PyTorch,XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). Platform & Cloud Engineering Architecture and delivery of scalable cloud data and AI platforms on AWS,Azureor GCP; experienced with containerisation,IaC, event-driven architectures and CI/CD. Track recordof delivering production Python services and APIs; working knowledge of cloud-native application patterns and release practices. Software Engineering Production-grade Python services (FastAPI, AWS Lambda, event-driven patterns) and front-end development with React/Next.js, Material UI and SWR. Cloud architecture design capability across major providers; rounded understanding of database trade-offs - relational, NoSQL,graphand caching strategies. Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security-conscious development. A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation,reliabilityand governance as by the technology itself. Your Skills and Experience We're seeking a technically credible, commercially aware consultant who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale - and who can inspire a team and a client with that same passion. 1-5 years in technology consulting, software engineering or AI/ML SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering - with strong architecture and design capability across cloud,dataand AI domains. Clear, confident communicator - able to make the complex accessible for technical and non-technical audiences alike, and torepresentBaringa'sexpertisewith credibility. Master's degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Prior experience as a forward-deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector.
26/07/2026
Full time
As a Senior Consultant in SAIL, you will own and lead consultancy engagements end-to-end from shaping the opportunity and winning the work, through to delivery governance and team leadership. You will bring SME-level depth in at least one of AI/ML Engineering, Platform Engineering, or Software Engineering, and apply it to create real, lasting value for our clients. Although we do not expect you to be an expert inall ofthe below activities simultaneously, our team consists of people who can work as advisors to our clients as well as bringing deep technical knowledge when needed. The profile of our typical engagements reflect that. AI/ML Specialism You will bring expert-level knowledge in at least one of the following domains, and working knowledge across the others: Agentic AI & LLM Engineering Design and build production-grade agentic systems using major LLM SDKs and agent frameworks; deep knowledge of RAG, MCP servers and prompt engineering at scale. Strong opinions on secure, resilient enterprise deployment of LLM-powered systems; current knowledge of the latest model capabilities and AI product stacks. Machine Learning Engineering End-to-end ML lifecycleexpertise: feature engineering, model training,evaluationand production deployment, includingMLOps, monitoring and drift detection. Practical knowledge of ML frameworks (e.g. scikit-learn,PyTorch,XGBoost) and cloud-native ML services (SageMaker, Azure ML, Vertex AI). Platform & Cloud Engineering Architecture and delivery of scalable cloud data and AI platforms on AWS,Azureor GCP; experienced with containerisation,IaC, event-driven architectures and CI/CD. Track recordof delivering production Python services and APIs; working knowledge of cloud-native application patterns and release practices. Software Engineering Production-grade Python services (FastAPI, AWS Lambda, event-driven patterns) and front-end development with React/Next.js, Material UI and SWR. Cloud architecture design capability across major providers; rounded understanding of database trade-offs - relational, NoSQL,graphand caching strategies. Strong engineering practices: CI/CD, testing (Jest, Cypress, React Test Library), release management and security-conscious development. A genuine passion for AI solutions and specifically for the complexity of delivering them to production at scale. You should be as energised by the hard problems of operationalisation,reliabilityand governance as by the technology itself. Your Skills and Experience We're seeking a technically credible, commercially aware consultant who brings a rare combination of delivery accountability, client advisory skill, and deep AI/technology specialism. You will be someone energised by the complexity of taking AI solutions to production at scale - and who can inspire a team and a client with that same passion. 1-5 years in technology consulting, software engineering or AI/ML SME-level depth in at least one of: Agentic AI/LLM Engineering, Machine Learning Engineering, Platform & Cloud Engineering, or Software Engineering - with strong architecture and design capability across cloud,dataand AI domains. Clear, confident communicator - able to make the complex accessible for technical and non-technical audiences alike, and torepresentBaringa'sexpertisewith credibility. Master's degree in Computer Science, Engineering, Mathematics, Data Science or related discipline, or equivalent depth through relevant professional certifications (e.g. AWS Solutions Architect Professional, Google Professional ML Engineer). Prior experience as a forward-deployed or embedded engineer within a client environment; exposure to regulated industries such as energy, financial services or public sector.
Edra is seeking Forward Deployed AI Engineers to join a deeply technical team building production-ready, multi-agent AI systems for enterprise customers. You'll own the full technical journey from problem discovery to production, including designing LLM-powered workflows, evaluating models, and ensuring reliable operation in real-world deployments. You'll collaborate with customers and our engineers to ship scalable solutions that integrate knowledge bases, tickets, and system logs, while
26/07/2026
Full time
Edra is seeking Forward Deployed AI Engineers to join a deeply technical team building production-ready, multi-agent AI systems for enterprise customers. You'll own the full technical journey from problem discovery to production, including designing LLM-powered workflows, evaluating models, and ensuring reliable operation in real-world deployments. You'll collaborate with customers and our engineers to ship scalable solutions that integrate knowledge bases, tickets, and system logs, while
At Beam, you get to do work that matters for the world. We're solving the world's toughest social problems with an incredible team, tech and AI. And we're growing fast It's not easy. Nothing worth doing ever is. Join a company at the forefront of social impact, driving first-of-its-kind positive change. You'll be part of a high-performance culture where you'll make a huge impact, rapidly progress your career, and truly enjoy your work. From top-tier coaching and personal development budgets to competitive salaries, we take care of everyone who works at Beam. We've already seen incredible growth from our Beam Notes product, helping frontline workers save over 8 hours of admin per week. From social workers and NHS clinicians to mental health practitioners and safeguarding specialists, nearly 100,000 frontline workers across the UK, US and Australia are now using Beam Notes regularly to deliver faster, more human-centred support. About the role As a Forward Deployed Engineer at Beam, you'll be at the forefront of deploying our AI products into real-world environments where they can create meaningful social impact. Beam is transforming how social workers, clinicians and other practitioners operate, freeing them from time-consuming admin to focus on human-centred support. You'll play a critical part in scaling that impact, ensuring our products are intuitive, effective and deeply embedded in users' workflows as we expand across the UK and internationally. You'll be: You'll work closely with frontline practitioners as well as internal teams to design, deploy and continuously improve AI-powered templates and workflows. Customer engagement & discovery Partner with frontline workers to understand their workflows, needs and challenges Run discovery and review sessions to gather insights and refine solutions Own customer usage, engagement and success metrics, ensuring strong outcomes and measurable impact Template development & optimisation Design, build and test high-quality AI prompt templates using a range of LLM providers alongside agents such as Claude Code and Cursor Continuously iterate based on user feedback, internal reviews and performance metrics Ensure outputs are accurate, compliant and tailored to real-world use cases Tooling, automation & innovation Improve internal tools, automations and processes to scale template delivery Prototype new ideas and features using AI coding tools Stay up to date with advancements in AI/LLMs and apply them to enhance product performance Cross-functional collaboration Work closely with Product, Engineering, Customer Success and Enablement teams Contribute insights to the product roadmap and identify opportunities for expansion and scaling Share learnings, document best practices and help refine team processes Data privacy & responsibility Maintain a strong focus on data privacy, security and ethical use of AI Ensure all solutions are designed with sensitivity to the vulnerable populations Beam serves You'll have: We're looking for someone who combines technical curiosity with a strong user focus and a passion for social impact. Core attributes Strong interest in AI and prompt engineering, with a hands-on, experimental mindset User-centric thinker who can translate real-world needs into practical, high-quality solutions Creative problem-solver, able to diagnose issues and iterate quickly High attention to detail, especially when working with nuanced or sensitive data Ways of working Collaborative and comfortable working cross-functionally with diverse teams Proactive and ownership-driven, with a focus on delivering measurable outcomes Adaptable and excited by fast-paced, evolving environments Strong growth mindset with a desire to continuously learn and improve Mission alignment Passion for social impact and improving outcomes for underserved communities Alignment with Beam's values: thoughtful, ambitious and deeply user-focused Nice to have Experience or exposure to care, healthcare, or social services environments Understanding of reporting requirements or workflows in frontline support settings Perks Generous EMI-qualifying share options Access to therapy, coaching, classes & content - powered by Oliva Your own financial well-being coach, through Bippit Generous Holiday - 25 days with 3 additional days over the Christmas period + bank holidays Work remotely up to 6 weeks a year Eligible for a 6-week sabbatical after 3 years in service Nursery scheme through Gogeta Healthcare cover through Benenden Health Enhanced parental leave: Primary Caregiver leave 18 weeks and Secondary Caregiver leave 4 weeks £200 WellBeam budget for activities enhancing wellbeing and professional development Annual membership to Shoreditch Exchange gym (London office only) Pension scheme where we contribute 3% of your salary and you contribute 5%. Free subscription to the Calm meditation app Discounted bike and accessories with Cyclescheme, and tech products with Techscheme About Beam Our team of 200+ embraces a hybrid working approach, enjoying 2-3 days of vibrant collaboration in our beautiful Shoreditch co-working space, fully equipped with rooftop views, an onsite barista and kitted out gym. We've picked up an armful of awards for our work, including one from our former Queen. We've also been named by WIRED as one of London's 10 hottest startups and by LinkedIn as a Top 15 UK Startup. Meanwhile, we've been covered in the media literally thousands of times, including the likes of The FT, BBC, TechCrunch, Forbes and The Guardian. We're also proud to be backed by some of the world's leading tech investors and entrepreneurs, including the founders of Calm, Shazam and Dropbox. Start your journey to a more impactful career today. We're excited to hear from you. Reasonable adjustments: Beam is committed to fostering an inclusive, diverse, and supportive work environment for all employees. This policy extends to our hiring practices. We recognise that some candidates may need additional support during their hiring process to give them the best chance of being a success. To ensure that all candidates have an equitable opportunity during their process, we are committed to providing reasonable adjustments where required. If you require a reasonable adjustment to be made during your process, please let your Talent Partner know. We encourage you to share this information, but there is no obligation to do so. Please be reassured that any reasonable adjustment requests will not be taken into account when making a decision about your candidacy.
26/07/2026
Full time
At Beam, you get to do work that matters for the world. We're solving the world's toughest social problems with an incredible team, tech and AI. And we're growing fast It's not easy. Nothing worth doing ever is. Join a company at the forefront of social impact, driving first-of-its-kind positive change. You'll be part of a high-performance culture where you'll make a huge impact, rapidly progress your career, and truly enjoy your work. From top-tier coaching and personal development budgets to competitive salaries, we take care of everyone who works at Beam. We've already seen incredible growth from our Beam Notes product, helping frontline workers save over 8 hours of admin per week. From social workers and NHS clinicians to mental health practitioners and safeguarding specialists, nearly 100,000 frontline workers across the UK, US and Australia are now using Beam Notes regularly to deliver faster, more human-centred support. About the role As a Forward Deployed Engineer at Beam, you'll be at the forefront of deploying our AI products into real-world environments where they can create meaningful social impact. Beam is transforming how social workers, clinicians and other practitioners operate, freeing them from time-consuming admin to focus on human-centred support. You'll play a critical part in scaling that impact, ensuring our products are intuitive, effective and deeply embedded in users' workflows as we expand across the UK and internationally. You'll be: You'll work closely with frontline practitioners as well as internal teams to design, deploy and continuously improve AI-powered templates and workflows. Customer engagement & discovery Partner with frontline workers to understand their workflows, needs and challenges Run discovery and review sessions to gather insights and refine solutions Own customer usage, engagement and success metrics, ensuring strong outcomes and measurable impact Template development & optimisation Design, build and test high-quality AI prompt templates using a range of LLM providers alongside agents such as Claude Code and Cursor Continuously iterate based on user feedback, internal reviews and performance metrics Ensure outputs are accurate, compliant and tailored to real-world use cases Tooling, automation & innovation Improve internal tools, automations and processes to scale template delivery Prototype new ideas and features using AI coding tools Stay up to date with advancements in AI/LLMs and apply them to enhance product performance Cross-functional collaboration Work closely with Product, Engineering, Customer Success and Enablement teams Contribute insights to the product roadmap and identify opportunities for expansion and scaling Share learnings, document best practices and help refine team processes Data privacy & responsibility Maintain a strong focus on data privacy, security and ethical use of AI Ensure all solutions are designed with sensitivity to the vulnerable populations Beam serves You'll have: We're looking for someone who combines technical curiosity with a strong user focus and a passion for social impact. Core attributes Strong interest in AI and prompt engineering, with a hands-on, experimental mindset User-centric thinker who can translate real-world needs into practical, high-quality solutions Creative problem-solver, able to diagnose issues and iterate quickly High attention to detail, especially when working with nuanced or sensitive data Ways of working Collaborative and comfortable working cross-functionally with diverse teams Proactive and ownership-driven, with a focus on delivering measurable outcomes Adaptable and excited by fast-paced, evolving environments Strong growth mindset with a desire to continuously learn and improve Mission alignment Passion for social impact and improving outcomes for underserved communities Alignment with Beam's values: thoughtful, ambitious and deeply user-focused Nice to have Experience or exposure to care, healthcare, or social services environments Understanding of reporting requirements or workflows in frontline support settings Perks Generous EMI-qualifying share options Access to therapy, coaching, classes & content - powered by Oliva Your own financial well-being coach, through Bippit Generous Holiday - 25 days with 3 additional days over the Christmas period + bank holidays Work remotely up to 6 weeks a year Eligible for a 6-week sabbatical after 3 years in service Nursery scheme through Gogeta Healthcare cover through Benenden Health Enhanced parental leave: Primary Caregiver leave 18 weeks and Secondary Caregiver leave 4 weeks £200 WellBeam budget for activities enhancing wellbeing and professional development Annual membership to Shoreditch Exchange gym (London office only) Pension scheme where we contribute 3% of your salary and you contribute 5%. Free subscription to the Calm meditation app Discounted bike and accessories with Cyclescheme, and tech products with Techscheme About Beam Our team of 200+ embraces a hybrid working approach, enjoying 2-3 days of vibrant collaboration in our beautiful Shoreditch co-working space, fully equipped with rooftop views, an onsite barista and kitted out gym. We've picked up an armful of awards for our work, including one from our former Queen. We've also been named by WIRED as one of London's 10 hottest startups and by LinkedIn as a Top 15 UK Startup. Meanwhile, we've been covered in the media literally thousands of times, including the likes of The FT, BBC, TechCrunch, Forbes and The Guardian. We're also proud to be backed by some of the world's leading tech investors and entrepreneurs, including the founders of Calm, Shazam and Dropbox. Start your journey to a more impactful career today. We're excited to hear from you. Reasonable adjustments: Beam is committed to fostering an inclusive, diverse, and supportive work environment for all employees. This policy extends to our hiring practices. We recognise that some candidates may need additional support during their hiring process to give them the best chance of being a success. To ensure that all candidates have an equitable opportunity during their process, we are committed to providing reasonable adjustments where required. If you require a reasonable adjustment to be made during your process, please let your Talent Partner know. We encourage you to share this information, but there is no obligation to do so. Please be reassured that any reasonable adjustment requests will not be taken into account when making a decision about your candidacy.
Why Ethicrithm? Ethicrithm Inc. is a Palantir partner serving clients across North America. We specialize in integrating and structuring enterprise data, developing AI-driven solutions, and implementing intelligent operating systems with Palantir Foundry and AIP. We deliver secure, scalable, and impactful solutions that optimize business operations and drive measurable returns on investment, impact and results. We're building a high-performance team of humble, helpful, and client-oriented teammates. The Role As a Technical Lead on Ethicrithm's Delivery team, you own the technical success of mission-critical Palantir engagements and the growth of the Forward Deployed Engineers (FDEs) who deliver them. As a player-coach, you set the architectural direction on your primary account, write production code alongside your team, and provide technical oversight across one or more additional engagements. You partner with client executives to translate ambiguous business problems into pragmatic Foundry/AIP solutions, and you raise the bar on delivery quality across Ethicrithm by mentoring FDEs, codifying best practices, and serving as the technical escalation point when projects get hard. This role requires deep Palantir expertise, strong architectural judgment, the credibility to lead both clients and engineers, and a passion for making a real-world impact. We are looking for exceptional candidates in Canada and the US. What You'll Do Client Engagement: Build trusted relationships with client executives and technical stakeholders, scope new opportunities, lead workshops and architecture reviews, and present solution recommendations and trade-offs to senior decision-makers. Build Operational Workflows in Foundry: deploy, configure, customize, and maintain production applications. Technical Problem Solving: Understand the intersection of business and technical problems, analyze root causes, and develop creative technical solutions that power real operational outcomes for our clients. Mentorship & Enablement: Coach FDEs through code reviews, design reviews, and pairing on hard problems; develop reusable patterns, accelerators, and documentation; and train client end users to operate independently on Palantir tools. Delivery Leadership: Own the technical plan, timeline, and quality of deliverables on your primary engagement and provide architectural oversight on additional accounts; partner closely with Deployment Leads to own the success of large Foundry programs. What We're Looking For 5-8 years of professional experience delivering software or data solutions, including time as a senior engineer, tech lead, or solutions architect on enterprise engagements Demonstrated experience leading and mentoring engineers on technical projects, including code reviews, design reviews, and growing the people around you Comfort owning the architectural and delivery health of more than one engagement at a time Energized by working directly with clients on site and remotely, including senior and executive stakeholders Ability to explain technical concepts to non-technical audiences Strong problem-solving and analytical skills that go beyond surface-level to dive into the details, all in a fast-paced environment Excellent written and verbal communication that can adapt to client preferences and requirements Preferred with flexibility for the right fit A post-secondary or master's degree in computer science, Engineering, Mathematics or related field Prior delivery experience on Palantir Foundry and/or AIP, ideally in a lead or architect capacity Experience leading multi-stream programs or providing technical oversight across more than one client engagement at a time Experience delivering production ML and/or LLM-based solutions Experience delivering production frontend applications in React Experience with Spark, Polars, or distributed compute Total Rewards We offer a comprehensive benefits package designed to support your well-being and career growth. This includes a competitive salary, equity participation to share in our success, a retirement contribution program, and health benefits. Enjoy a healthy work-life balance with four weeks of vacation, five personal days, and the flexibility of working from home. We also provide ample opportunities for career advancement within our dynamic and growing organization. Ethicrithm Inc. is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We're committed to making our interview process and workplace accessible. If there are any accommodations that would help you participate fully, please let us know.
26/07/2026
Full time
Why Ethicrithm? Ethicrithm Inc. is a Palantir partner serving clients across North America. We specialize in integrating and structuring enterprise data, developing AI-driven solutions, and implementing intelligent operating systems with Palantir Foundry and AIP. We deliver secure, scalable, and impactful solutions that optimize business operations and drive measurable returns on investment, impact and results. We're building a high-performance team of humble, helpful, and client-oriented teammates. The Role As a Technical Lead on Ethicrithm's Delivery team, you own the technical success of mission-critical Palantir engagements and the growth of the Forward Deployed Engineers (FDEs) who deliver them. As a player-coach, you set the architectural direction on your primary account, write production code alongside your team, and provide technical oversight across one or more additional engagements. You partner with client executives to translate ambiguous business problems into pragmatic Foundry/AIP solutions, and you raise the bar on delivery quality across Ethicrithm by mentoring FDEs, codifying best practices, and serving as the technical escalation point when projects get hard. This role requires deep Palantir expertise, strong architectural judgment, the credibility to lead both clients and engineers, and a passion for making a real-world impact. We are looking for exceptional candidates in Canada and the US. What You'll Do Client Engagement: Build trusted relationships with client executives and technical stakeholders, scope new opportunities, lead workshops and architecture reviews, and present solution recommendations and trade-offs to senior decision-makers. Build Operational Workflows in Foundry: deploy, configure, customize, and maintain production applications. Technical Problem Solving: Understand the intersection of business and technical problems, analyze root causes, and develop creative technical solutions that power real operational outcomes for our clients. Mentorship & Enablement: Coach FDEs through code reviews, design reviews, and pairing on hard problems; develop reusable patterns, accelerators, and documentation; and train client end users to operate independently on Palantir tools. Delivery Leadership: Own the technical plan, timeline, and quality of deliverables on your primary engagement and provide architectural oversight on additional accounts; partner closely with Deployment Leads to own the success of large Foundry programs. What We're Looking For 5-8 years of professional experience delivering software or data solutions, including time as a senior engineer, tech lead, or solutions architect on enterprise engagements Demonstrated experience leading and mentoring engineers on technical projects, including code reviews, design reviews, and growing the people around you Comfort owning the architectural and delivery health of more than one engagement at a time Energized by working directly with clients on site and remotely, including senior and executive stakeholders Ability to explain technical concepts to non-technical audiences Strong problem-solving and analytical skills that go beyond surface-level to dive into the details, all in a fast-paced environment Excellent written and verbal communication that can adapt to client preferences and requirements Preferred with flexibility for the right fit A post-secondary or master's degree in computer science, Engineering, Mathematics or related field Prior delivery experience on Palantir Foundry and/or AIP, ideally in a lead or architect capacity Experience leading multi-stream programs or providing technical oversight across more than one client engagement at a time Experience delivering production ML and/or LLM-based solutions Experience delivering production frontend applications in React Experience with Spark, Polars, or distributed compute Total Rewards We offer a comprehensive benefits package designed to support your well-being and career growth. This includes a competitive salary, equity participation to share in our success, a retirement contribution program, and health benefits. Enjoy a healthy work-life balance with four weeks of vacation, five personal days, and the flexibility of working from home. We also provide ample opportunities for career advancement within our dynamic and growing organization. Ethicrithm Inc. is an equal opportunity employer and values diversity at our company. We do not discriminate on the basis of race, religion, color, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We're committed to making our interview process and workplace accessible. If there are any accommodations that would help you participate fully, please let us know.
Virtru is seeking a Forward Deployed Engineer to enhance observability, performance, and reliability across our platform infrastructure. You will drive secure data protection deployments for government clients and lead integration projects with federal agencies. The role requires active security clearance (DV preferred) and 5+ years in deployment or solutions engineering with customer-facing implementations.
26/07/2026
Full time
Virtru is seeking a Forward Deployed Engineer to enhance observability, performance, and reliability across our platform infrastructure. You will drive secure data protection deployments for government clients and lead integration projects with federal agencies. The role requires active security clearance (DV preferred) and 5+ years in deployment or solutions engineering with customer-facing implementations.
Ethicrithm Inc. is seeking a Technical Lead to own the technical success of mission-critical Palantir engagements and to grow the Forward Deployed Engineer team. You will set architectural direction on your accounts, write production code, mentor engineers, and ensure delivery quality across multiple engagements. You will work with client executives to translate business problems into pragmatic Palantir Foundry and AIP solutions, driving real-world impact while collaborating with a
26/07/2026
Full time
Ethicrithm Inc. is seeking a Technical Lead to own the technical success of mission-critical Palantir engagements and to grow the Forward Deployed Engineer team. You will set architectural direction on your accounts, write production code, mentor engineers, and ensure delivery quality across multiple engagements. You will work with client executives to translate business problems into pragmatic Palantir Foundry and AIP solutions, driving real-world impact while collaborating with a
Sr. Solutions Architect, Telco, AWS Telco Business Unit Job ID: AWS EMEA SARL (UK Branch) Join the AWS EMEA Telecom team as a Solutions Architect - You will work directly in customer non-production sandbox environments to create working prototypes, proof-of-concepts, and AI-driven solutions that prove AWS value faster than traditional advisory engagements, eliminating the traditional handoff between advisory and implementation. You will be the primary technical partner for major European telecommunications operators, leading with Agentic AI and AI-assisted software development as the primary value proposition while building directly alongside customer engineering teams. Key job responsibilities Build working prototypes in customer non-production sandbox environments using AI-augmented development tools - delivering tangible, demonstrable value early in the engagement Pair-program with customer teams, embedding directly with their engineers during time-boxed sprints to accelerate AI adoption and cloud-native development Write high-quality sample code for proof-of-concepts, demos, and sample applications spanning generative AI architectures, agentic systems, and telco-specific workloads (operations support system modernization, network cloudification, contact centre AI) Design and deploy infrastructure using Infrastructure-as-Code (AWS CDK, Terraform, CloudFormation) in customer sandbox environments, demonstrating scalability and security patterns Own the end-to-end technical relationship with Tier-1 European telco groups, acting as trusted advisor to technical decision makers Shape AI and cloud strategy for major operators - translating complex technical capabilities into business-outcome narratives Lead architecture design for Agentic AI initiatives including multi-agent orchestration, foundation model integration, and enterprise AI platforms Drive AI-assisted software development lifecycle strategy, positioning AWS developer tools for software transformation at scale across large engineering organizations Accelerate deal cycles by removing technical blockers through hands-on building - measurably reducing opportunity cycle time Identify and launch new opportunities discovered during customer engagements Increase service adoption per customer through tangible demonstrations of multi-service integration Demonstrate value through building and advisory - lead with building to show tangible value Act as an extension of customers through hands-on co-development in their environments Outcome-focused - identify, develop, and realise business opportunities through tangible proof points Security first, speed second - but both are possible - AI-augmented development compresses timelines without compromising security or architectural integrity Technical accuracy over short-term revenue - recommend the right solution for customer context, even if it results in lower immediate revenue Scale innovation through reusable solutions - build once, share broadly via accelerators and reference architectures The EMEA Telecom Solutions Architecture team covers the largest telco operators across Europe. We sit within the AWS Global Telecom Industry Business Unit and drive technical outcomes across cloud transformation, AI adoption, network cloudification, and software modernisation. The team operates with a "forward-deployed competence" mindset - bringing deep technical expertise directly to where customers need it most. Basic Qualifications Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military Experience in IT development or implementation/consulting in the software or Internet industries Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) Experience in design, implementation, or consulting in applications and infrastructures Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients Experience leading in a customer-facing role in the technology industry or equivalent Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations, or experience with Unreal engine Experience developing, deploying and managing AI products at scale Experience leading engineering discussions around technology decisions and strategy related to a product Preferred Qualifications Experience working with end user or developer communities Knowledge of technology principles and services including infrastructure, business applications, data management, security, application platforms, and consumer-facing technology Experience working with or evaluating AI systems Experience with evaluating and integrating open source and in house developed toolsets AWS Solutions Architect Certification Experience with embedded software Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
26/07/2026
Full time
Sr. Solutions Architect, Telco, AWS Telco Business Unit Job ID: AWS EMEA SARL (UK Branch) Join the AWS EMEA Telecom team as a Solutions Architect - You will work directly in customer non-production sandbox environments to create working prototypes, proof-of-concepts, and AI-driven solutions that prove AWS value faster than traditional advisory engagements, eliminating the traditional handoff between advisory and implementation. You will be the primary technical partner for major European telecommunications operators, leading with Agentic AI and AI-assisted software development as the primary value proposition while building directly alongside customer engineering teams. Key job responsibilities Build working prototypes in customer non-production sandbox environments using AI-augmented development tools - delivering tangible, demonstrable value early in the engagement Pair-program with customer teams, embedding directly with their engineers during time-boxed sprints to accelerate AI adoption and cloud-native development Write high-quality sample code for proof-of-concepts, demos, and sample applications spanning generative AI architectures, agentic systems, and telco-specific workloads (operations support system modernization, network cloudification, contact centre AI) Design and deploy infrastructure using Infrastructure-as-Code (AWS CDK, Terraform, CloudFormation) in customer sandbox environments, demonstrating scalability and security patterns Own the end-to-end technical relationship with Tier-1 European telco groups, acting as trusted advisor to technical decision makers Shape AI and cloud strategy for major operators - translating complex technical capabilities into business-outcome narratives Lead architecture design for Agentic AI initiatives including multi-agent orchestration, foundation model integration, and enterprise AI platforms Drive AI-assisted software development lifecycle strategy, positioning AWS developer tools for software transformation at scale across large engineering organizations Accelerate deal cycles by removing technical blockers through hands-on building - measurably reducing opportunity cycle time Identify and launch new opportunities discovered during customer engagements Increase service adoption per customer through tangible demonstrations of multi-service integration Demonstrate value through building and advisory - lead with building to show tangible value Act as an extension of customers through hands-on co-development in their environments Outcome-focused - identify, develop, and realise business opportunities through tangible proof points Security first, speed second - but both are possible - AI-augmented development compresses timelines without compromising security or architectural integrity Technical accuracy over short-term revenue - recommend the right solution for customer context, even if it results in lower immediate revenue Scale innovation through reusable solutions - build once, share broadly via accelerators and reference architectures The EMEA Telecom Solutions Architecture team covers the largest telco operators across Europe. We sit within the AWS Global Telecom Industry Business Unit and drive technical outcomes across cloud transformation, AI adoption, network cloudification, and software modernisation. The team operates with a "forward-deployed competence" mindset - bringing deep technical expertise directly to where customers need it most. Basic Qualifications Bachelor's degree in computer science, engineering, mathematics or equivalent, or experience in a professional field or military Experience in IT development or implementation/consulting in the software or Internet industries Experience within specific technology domain areas (e.g. software development, cloud computing, systems engineering, infrastructure, security, networking, data & analytics) Experience in design, implementation, or consulting in applications and infrastructures Experience communicating across technical and non-technical audiences, including executive level stakeholders or clients Experience leading in a customer-facing role in the technology industry or equivalent Experience with full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations, or experience with Unreal engine Experience developing, deploying and managing AI products at scale Experience leading engineering discussions around technology decisions and strategy related to a product Preferred Qualifications Experience working with end user or developer communities Knowledge of technology principles and services including infrastructure, business applications, data management, security, application platforms, and consumer-facing technology Experience working with or evaluating AI systems Experience with evaluating and integrating open source and in house developed toolsets AWS Solutions Architect Certification Experience with embedded software Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice () to know more about how we collect, use and transfer the personal data of our candidates. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit for more information. If the country/region you're applying in isn't listed, please contact your Recruiting Partner. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status.
Backed by global technology visionaries like Sequoia Capital, Magentic brings together world-class AI engineering (formers from OpenAI, Meta, and AWS) with procurement expertise (formers from McKinsey & Company and ABInBev). We are looking for brilliant Forward Deployed Engineers to join our team at Magentic. We're pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows. We're focusing on the $3tn market of supply chains and procurement. Our mission is to make global manufacturing supply chains robust to an ever-changing world, and to harness the potential of generative AI through thoughtful deployment, maximising benefits while prioritising ethical use and safety. Forward Deployed Engineers sit at the intersection of product, engineering, and customer success. You will collaborate closely with customer teams to understand their problems and data, enabling our product engineers to build impactful features. You will be instrumental in shaping solutions and recommending new features for enterprise clients, all while learning and growing your AI skills in a truly AI first company at the forefront of agentic systems. What You'll Do You'll have a huge impact on both Magentic's commercial success and our product direction. This is a rare opportunity to help build a rocket ship. As we grow, you could develop into product management or engineering, into a leader in our customer engineering space, even into sales, as you discover your strengths and interests. Build strong relationships with our flagship clients-household names in the enterprise manufacturing space. Analyse large, unstructured data sets-dig around to discover value that our customers are missing and help configure our product to surface that value. Collaborate directly with executives & operators-run white boarding sessions, turn ambiguous requirements into concrete specs, demo our product, and train users. Shape our roadmap-gather insights from customers to determine the highest-priority new features and products. You Might Be a Great Fit if You Are proficient in Python. Have 2+ years of professional experience Are a data whizz - can extract insights from large, messy data sets with ease Can take a loosely defined problem, sketch an architecture, and deliver a production ready solution in weeks, not months. Can communicate clearly with both engineers and business stakeholders. Are keen to travel to spend time with customers on a regular basis.link Are an enthusiastic student and user of AI. Thrive in an early stage, high ownership environment-you learn quickly and by doing. Bonus Points Familiarity with supply chain, procurement, or manufacturing domains. Compensation and Benefits At Magentic, we recognise and reward the talent that drives our success. We offer: Competitive Equity: play a real part in Magentic's upside. A salary of £50,000 £65,000 Hybrid London HQ (3 4 days in the office/customer site) Lunches provided in our Camden office Salary sacrifice pension and nursery schemes Annual team retreat-a fully funded off site to recharge, bond, and build. Our interview Process There are a quite a few components because it's really important that both we and you have all the information to make a great decision at this stage of our journey. We can move quickly through these stages, so let us know if you have any timelines we need to meet. Culture interview (45 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about your how your experience and ambitions align with the role. Role play interview (45 mins): in this step, we present you with a real problem Magentic encounters, and we ask you to design a solution in a whiteboarding exercise. Take home exercise (2 3 hours): analyse a data set similar to one that our clients would provide us, and create a presentation with your findings. In person interview (2 hours): Come see the office, meet the team in person, present your work to the tech and commercial teams and do a case study interview with Robin, our CEO. Responsible AI Statement At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission. Equal Opportunities and Accommodations Statement Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010. We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. We also ensure that our employment decisions are based solely on individual qualifications, merit, and business needs. Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly.
26/07/2026
Full time
Backed by global technology visionaries like Sequoia Capital, Magentic brings together world-class AI engineering (formers from OpenAI, Meta, and AWS) with procurement expertise (formers from McKinsey & Company and ABInBev). We are looking for brilliant Forward Deployed Engineers to join our team at Magentic. We're pushing the boundaries of AI with next-generation agentic systems that can manage entire workflows. We're focusing on the $3tn market of supply chains and procurement. Our mission is to make global manufacturing supply chains robust to an ever-changing world, and to harness the potential of generative AI through thoughtful deployment, maximising benefits while prioritising ethical use and safety. Forward Deployed Engineers sit at the intersection of product, engineering, and customer success. You will collaborate closely with customer teams to understand their problems and data, enabling our product engineers to build impactful features. You will be instrumental in shaping solutions and recommending new features for enterprise clients, all while learning and growing your AI skills in a truly AI first company at the forefront of agentic systems. What You'll Do You'll have a huge impact on both Magentic's commercial success and our product direction. This is a rare opportunity to help build a rocket ship. As we grow, you could develop into product management or engineering, into a leader in our customer engineering space, even into sales, as you discover your strengths and interests. Build strong relationships with our flagship clients-household names in the enterprise manufacturing space. Analyse large, unstructured data sets-dig around to discover value that our customers are missing and help configure our product to surface that value. Collaborate directly with executives & operators-run white boarding sessions, turn ambiguous requirements into concrete specs, demo our product, and train users. Shape our roadmap-gather insights from customers to determine the highest-priority new features and products. You Might Be a Great Fit if You Are proficient in Python. Have 2+ years of professional experience Are a data whizz - can extract insights from large, messy data sets with ease Can take a loosely defined problem, sketch an architecture, and deliver a production ready solution in weeks, not months. Can communicate clearly with both engineers and business stakeholders. Are keen to travel to spend time with customers on a regular basis.link Are an enthusiastic student and user of AI. Thrive in an early stage, high ownership environment-you learn quickly and by doing. Bonus Points Familiarity with supply chain, procurement, or manufacturing domains. Compensation and Benefits At Magentic, we recognise and reward the talent that drives our success. We offer: Competitive Equity: play a real part in Magentic's upside. A salary of £50,000 £65,000 Hybrid London HQ (3 4 days in the office/customer site) Lunches provided in our Camden office Salary sacrifice pension and nursery schemes Annual team retreat-a fully funded off site to recharge, bond, and build. Our interview Process There are a quite a few components because it's really important that both we and you have all the information to make a great decision at this stage of our journey. We can move quickly through these stages, so let us know if you have any timelines we need to meet. Culture interview (45 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about your how your experience and ambitions align with the role. Role play interview (45 mins): in this step, we present you with a real problem Magentic encounters, and we ask you to design a solution in a whiteboarding exercise. Take home exercise (2 3 hours): analyse a data set similar to one that our clients would provide us, and create a presentation with your findings. In person interview (2 hours): Come see the office, meet the team in person, present your work to the tech and commercial teams and do a case study interview with Robin, our CEO. Responsible AI Statement At Magentic, we are committed to developing artificial intelligence that benefits humanity. We push the limits of AI's capabilities and are dedicated to its responsible and safe deployment. Recognising the profound impact of AI, we ensure that its development is centred around human needs and safety, incorporating a wide array of perspectives to fulfil our mission. Equal Opportunities and Accommodations Statement Magentic is committed to creating a diverse and inclusive workplace and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, colour, religion, gender, gender reassignment, marital or civil partnership status, age, disability, pregnancy or maternity, or any other basis as protected by the Equality Act 2010. We actively encourage applications from candidates of all backgrounds and cultures and believe a diverse workforce enhances our ability to deliver innovative solutions. We also ensure that our employment decisions are based solely on individual qualifications, merit, and business needs. Magentic is dedicated to providing reasonable accommodations to job applicants with disabilities. If you require any adjustments during the recruitment process, please indicate this in your application or contact us directly.
