42 jobs found

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.

A leading technology company is seeking a Forward Deployed Infrastructure Engineer to develop and maintain high-performance services for its platforms. This role involves deploying new products, troubleshooting complex systems, and automating operations. The ideal candidate will have a strong engineering background, coding proficiency in languages like Java and Python, and the ability to work autonomously in a dynamic environment. Hybrid work options available, encouraging employees to collaborate in person where possible.

A cutting-edge technology company based in Greater London is seeking Forward Deployed Engineers to join their team and lead the development of AI-based solutions for supply chains. In this role, you will enhance client relationships, analyze data sets, and shape product features to drive success. The ideal candidate will have a strong background in Python, at least 2 years of experience, and a passion for AI. This position offers a competitive salary, hybrid working environment, and opportunities for professional growth.

A World-Changing Company Palantir builds the world's leading software for data-driven decisions and operations. By bringing the right data to the people who need it, our platforms empower our partners to develop lifesaving drugs, forecast supply chain disruptions, locate missing children, and more. The Role We're looking for Forward Deployed Infrastructure Engineers who can help us build, operate, and maintain high-performance, scalable, and reliable services for Palantir platforms, products, and deployments. You'll get to use your creativity to develop novel solutions to evolving challenges and automate processes wherever possible, using whichever tools are best for the job including industry-leading LLM and AI technology! As a Forward Deployed Infrastructure Engineer, every day is different! You will be developing software and providing high-quality support for software systems that are critical to solving our government's greatest challenges. We strongly believe in engineering teams being responsible for the operations of their services in production. As such, you'll work closely with forward deployed teams and product teams to participate in sensible, scalable, systems design and share responsibility with them in diagnosing, resolving, and preventing production issues. Core Responsibilities Handle support and operations of Palantir software, including monitoring and alerting, configuration management, and upgrades. Deploy new Palantir products at customer deployments and perform migrations to the latest infrastructure types. Debug, improve, and optimise Palantir's services and infrastructure with a focus on long-term reliability and scalability. Reduce manual operations and automate workflows, processes, and/or runbooks where possible. Provide technical troubleshooting support for production issues, ensuring timely resolution and minimal impact on operations. Participate in a support on-call schedule. Develop novel solutions in Palantir's Foundry and Apollo platforms to solve infrastructure challenges. What We Value Confidence in troubleshooting complex systems issues independently using observability tools and service logs. Ability to identify and automate highly manual tasks, driving ongoing improvements within and across teams. Comfort with large scale production systems and technologies - for example, load balancing, monitoring, distributed systems, or configuration management. Proficiency with programming languages such as Java, Python, Bash, JavaScript, Go or similar languages and be comfortable coding and/or utilising tooling built in these languages. Ability to work with a high level of autonomy and responsibility in a rapidly changing environment with dynamic objectives and iteration with users. Excellent communication and interpersonal skills, with the ability to work effectively in multi-functional teams. What We Require Strong engineering background, preferred in fields such as Computer Science, Mathematics, Software Engineering, Physics, and Data Science. Strong coder with shown proficiency in programming languages such as Java, Go, Python, JavaScript, or similar languages. Security clearance or the ability to obtain a clearance. Life at Palantir We want every Palantirian to achieve their best outcomes, that's why we celebrate individuals' strengths, skills, and interests, from your first interview to your longterm growth, rather than rely on traditional career ladders. Paying attention to the needs of our community enables us to optimize our opportunities to grow and helps ensure many pathways to success at Palantir. Promoting health and well-being across all areas of Palantirians' lives is just one of the ways we're investing in our community. Learn more at Life at Palantir and note that our offerings may vary by region. In keeping consistent with Palantir's values and culture, we believe employees are "better together" and in-person work affords the opportunity for more creative outcomes. Therefore, we encourage employees to work from our offices to foster connectivity and innovation. Many teams do offer hybrid options (WFH a day or two a week), allowing our employees to strike the right trade-off for their personal productivity. Based on business need, there are a few roles that allow for "Remote" work on an exceptional basis. If you are applying for one of these roles, you must work from the city and or country in which you are employed. If the posting is specified as Onsite, you are required to work from an office. If you want to empower the world's most important institutions, you belong here. Palantir values excellence regardless of background. We are committed to making the application and hiring process accessible to everyone and will provide a reasonable accommodation for those living with a disability. If you need an accommodation for the application or hiring process, please reach out and let us know how we can help.

Senior Technical Program Manager, Customer Engagement, Applied AI corporate_fare Google place London, UK Apply Bachelor's degree in a technical field, or equivalent practical experience. 8 years of experience in program management. Experience working with AI agents and generative AI native architectures. Experience building out technical roadmaps. Experience leading customer interactions. Preferred qualifications: 10 years of experience managing cross-functional or cross-team projects. About the job A problem isn't truly solved until it's solved for all. That's why Googlers build products that help create opportunities for everyone, whether down the street or across the globe. As a Technical Program Manager at Google, you'll use your technical expertise to lead complex, multi-disciplinary projects from start to finish. You'll work with stakeholders to plan requirements, identify risks, manage project schedules, and communicate clearly with cross-functional partners across the company. You're equally comfortable explaining your team's analyses and recommendations to executives as you are discussing the technical tradeoffs in product development with engineers. The Google Cloud Applied AI (AAI) Solutions Consulting team functions as a high-stakes unit responsible for Google's most strategic AI deployments. We bridge the gap between experimental AI and enterprise reality, acting as the technical and strategic engine that turns complex business problems into production-ready agentic solutions. As a Technical Program Manager, you will be the primary delivery Directly Responsible Individual (DRI) across multiple customers, and the orchestrator of delivery pods that span Product, Development, Go-to-Market (GTM), Partner and Customer teams. You will be the operational foundation for agentic AI deployments, managing daily execution and cross-functional dependencies, and driving the startup-like velocity required to move enterprise customers from pilot phases to full-scale production. You will lead direct customer interactions to define agent behaviors, ensuring the technical roadmap is anchored, while providing the strategic advisory necessary to navigate the transition from legacy stacks to generative AI native architectures. Partnering closely with the technical DRI, you will provide the project management oversight needed to translate complex technical builds into high-impact business solutions. Applied AI builds conversational agents deployed at a large scale that achieve very meaningful results in the real world. Some examples include the customer agent built for large call center environments, to fast food ordering handled by our Food AI agent. The team is transforming how enterprises connect with customers through the power of AI. We also offer unique experiences for team members where you get to work directly with the model builders (Google DeepMind / Vertex), learn and work with brilliant AI leaders, and have access to Global 1000 customers via our existing Google Cloud relationships. The opportunity in this space is tremendous. Responsibilities Be a thought leader within Google and industry on the subject matter domain of the respective organization. Establish a reliable and visible cadence for portfolio reviews, decision-making, prioritization, and resource management, whereby improvements are measurable and the impact can be felt organization wide. Lead the implementation of evaluation pipelines and testing frameworks, ensuring every Large Language Model (LLM) prompt or reasoning update is validated against benchmark datasets to prevent regressions in agent accuracy, persona alignment, and brand voice. Utilize specialized dashboards to monitor agent health, tracking Key Performance Indicators (KPIs) such as accuracy, hallucination rates, and latency to ensure the agent is production ready and provides a fluid, human-like experience. Google is proud to be an equal opportunity and affirmative action employer. We are committed to building a workforce that is representative of the users we serve, creating a culture of belonging, and providing an equal employment opportunity regardless of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related condition (including breastfeeding), expecting or parents-to-be, criminal histories consistent with legal requirements, or any other basis protected by law. See also Google's EEO Policy , Know your rights: workplace discrimination is illegal , Belonging at Google , and How we hire . Google is a global company and, in order to facilitate efficient collaboration and communication globally, English proficiency is a requirement for all roles unless stated otherwise in the job posting. To all recruitment agencies: Google does not accept agency resumes. Please do not forward resumes to our jobs alias, Google employees, or any other organization location. Google is not responsible for any fees related to unsolicited resumes.

We are looking for a Lead Software Engineer to drive technical project delivery, guiding teams from concept to deployment while ensuring high-quality, scalable solutions. If you enjoy seeing your work deployed into 'real-life' applications, this is the perfect role for you. Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design through to deployment. You'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a co-operative, can-do attitude who can build high-quality data engineering solutions. If this sounds like you, we can't wait to hear from you! PLEASE NOTE: This position is located in the Bath area and requires presence on-site three days per week. Accommodation will be provided. DV clearance is required, which means candidates applying for this role should either hold it or be eligible to obtain it. KEY RESPONSIBILITIES: Lead the design, development, testing, and evaluation of complex software engineering solutions for the successful delivery of several, simultaneous client projects Build strong client relationships and lead project-centred client interactions Oversee the delivery of high-quality code and successful project outcomes Build processes for extracting, cleaning and transforming data (SQL / Python) Build AI systems using Large Language Models Actively seek out new opportunities to learn and develop Be an example of software engineering best-practice e.g. Git / Docker / cloud deployment Write proposals for exciting new commercial opportunities Line manage and provide career mentorship to other software engineers Manage project delivery teams Collaborate with stakeholders to understand business needs and develop technical strategies Take ownership of the development and implementation of internal processes and policies Proactive thought leadership to encourage development and promote ADSP Contribute to the development and deployment of delivery solutions Build processes for extracting, cleaning and transforming data (SQL / Python) KEY REQUIREMENTS: Experience of successfully leading complex software projects, including a holistic understanding of the development process, from design through to deployment, and associated project management and risks Experience of completing code reviews in Python and SQL through Git, and applying other best practices to technical projects Experience of using SQL and databases (SQL Server, Postgres etc), as well as a cloud platform for development Experience of leading the design, development, testing, and deployment of software solutions Experience of developing data engineering pipelines, backend services and APIs Extensive knowledge of software engineering concepts and principles with a deep understanding of emerging technologies and industry trends Understanding of Python advanced concepts including Object Oriented Programming (OOP), Concurrency, decorators, recursion Understanding of cloud deployment (e.g. AWS, Azure) and Linux scripting (e.g. bash) Advanced Docker skills with a deep understanding of Docker storage, volumes, and Linux permissions Ability to implement CI/CD pipelines (e.g. Azure DevOps, GitHub actions) along with automated PR checks and repository rules Ability to successfully manage delivery teams Ability to work with external stakeholders, including management of expectations understanding of business goals and balancing project requirements Ability to think strategically and make complex decisions Effective organisational skills e.g. planning, time management Strong communication skills, including leading meetings and presenting technical concepts to stakeholders Effective problem-solving and analytical skills, with high attention to detail INTERVIEW PROCESS: Stage 1: 20 min video call with a member of the hiring team Stage 2: 45 min Live Coding exercise Stage 3: 2hr F2F interview in our London office OUR BENEFITS: At ADSP, we believe in rewarding talent and supporting your growth. Here's what you can look forward to as part of our team: Competitive compensation package including annual performance bonus 26 days of annual leave, 8 bank holidays plus your birthday off BUPA Private Healthcare Enhanced family leave £1,000 annual development budget Flexible hybrid working (2 days a week in our modern Shoreditch office) Remote working from anywhere in the world for up to 4 weeks each year Latest tech that suits your needs: high-spec Windows machine or a MacBook Free snacks and drinks, and regular team socials Supportive entrepreneurial environment offering a ton of autonomy and opportunity to work on a variety of projects, technologies and industries Join us and realise your full potential in a collaborative, forward-thinking team, where your work will help shape the future. OUR COMMITTMENT TO DEI: At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at

Bloomreach is building the world's premieragentic platform for personalization.We're revolutionizing how businesses connect with their customers, building and deploying AI agents to personalize theentirecustomer journey. We're takingautonomous searchmainstream, making product discovery more intuitive and conversational for customers, and more profitable for businesses. We're makingconversational shoppinga reality, connecting every shopper with tailored guidance and product expertise - available on demand, at every touchpoint in their journey. We're designing the future ofautonomous marketing, taking the work out of workflows, and reclaiming the creative, strategic, and customer-first work marketers were always meant to do. And we're building all of that on the intelligence of a single AI engine -Loomi AI- so that personalization isn't only autonomous it's also consistent. From retail to financial services, hospitality to gaming, businesses use Bloomreach to drive higher growth and lasting loyalty. We power personalization for more than 1,400 global brands, including American Eagle, Sonepar, and Pandora. Purpose of the Role Enterprise Discovery customers increasingly require hands-on customisation beyond standard product configuration. The Forward Deployed Engineer (FDE) is a dedicated, customer-embedded engineering role designed to own the full spectrum of technical customisation for our top-tier accounts. You will bridge the gap between post-sales support and core product engineering, serving as a technical "special forces" operative who translates complex business requirements into tangible code and system optimisations. The Customisation Spectrum The FDE is purpose-built to own Levels 1-5 of the customisation spectrum, ensuring that core R&D remains focused on next-generation platform development: Education: Platform training, feature evangelism, and root-cause explanation. Configuration: Dashboard, integration, and algorithm configuration changes. Surgical Tweaks: Customer-specific process changes and deep data analysis. Custom Code: Conversational agents, platform extensions, and feature customization. Escalation: Identifying major product changes for Core Engineering cycles. Key Responsibilities Account Ownership: Maintain ongoing technical ownership of 2-3 high-value enterprise accounts; this is not a rotational assignment. Technical Implementation: Build and deploy conversational agents, custom extensions, and algorithmic tweaks to solve specific business problems. Data-Driven Validation: Use A/B testing and deep data analysis to validate the impact of technical changes on customer KPIs. On-Site Collaboration: Travel to customer sites (EMEA/AMER) to lead technical workshops and deeply understand their architectural constraints. Feedback Loop: Act as a critical bridge to R&D, identifying recurring customization needs that should be productized in the core platform. Candidate Profile We are looking for a unique blend of high-level engineering talent and strategic business acumen: The Mix: 50% Programmer 30% Product Acumen 20% Soft Skills & Problem Solving. Search Specialist: Deep knowledge of search internals, including ranking models, catalog configuration, relevance, recall, and personalization. Technical Generalist: Fluent enough in code to make minor to moderate changes to support testing and custom extensions. Consultative Mindset: Ability to translate nebulous business goals into specific technical solutions and communicate those to stakeholders. Requirements Experience: Proven track record in Search Engineering, Machine Learning Engineering, or high-end Technical Delivery. Product Knowledge: Deep understanding of Discovery platforms and how ranking/algorithms impact e-commerce performance. Soft Skills: Exceptional communication skills with the ability to navigate complex enterprise environments. Mobility: Willingness to travel internationally to engage with customers in their own environments. More things you'll like about Bloomreach: Culture: A great deal of freedom and trust. At Bloomreach we don't clock in and out, and we have neither corporate rules nor long approval processes. This freedom goes hand in hand with responsibility. We are interested in results from day one. We have defined our 5 values and the 10 underlying key behaviors that we strongly believe in. We can only succeed if everyone lives these behaviors day to day. We've embedded them in our processes like recruitment, onboarding, feedback, personal development, performance review and internal communication. We believe in flexible working hours to accommodate your working style. We work virtual-first with several Bloomreach Hubs available across three continents. We organize company events to experience the global spirit of the company and get excited about what's ahead. We encourage and support our employees to engage in volunteering activities - every Bloomreacher can take 5 paid days off to volunteer. We have a People Development Program participating in personal development workshops on various topics run by experts from inside the company. We are continuously developing & updating competency maps for select functions. Our resident communication coach Ivo Večeřa is available to help navigate work-related communications & decision-making challenges. Our managers are strongly encouraged to participate in the Leader Development Program to develop in the areas we consider essential for any leader. The program includes regular comprehensive feedback, consultations with a coach and follow-up check-ins. Bloomreachers utilize the $1,500 professional education budget on an annual basis to purchase education products (books, courses, certifications, etc.) The Employee Assistance Program with counselors is available for non-work-related challenges. Subscription to Calm - sleep and meditation app. We organize 'DisConnect' days where Bloomreachers globally enjoy one additional day off each quarter, allowing us to unwind together and focus on activities away from the screen with our loved ones. We facilitate sports, yoga, and meditation opportunities for each other. Extended parental leave up to 26 calendar weeks for Primary Caregivers. Compensation: Restricted Stock Units or Stock Options are granted depending on a team member's role, seniority, and location. Everyone gets to participate in the company's success through the company performance bonus. We offer an employee referral bonus of up to $3,000 paid out immediately after the new hire starts. We reward & celebrate work anniversaries Bloomversaries! Excited? Join us and transform the future of commerce experiences!

About the team OpenAI's Forward Deployed Engineering team partners with global pharma and biotech, CROs, and research institutions to deploy existing expertise across the R&D value chain to help customers design and ship production grade AI systems. We operate at the intersection of customer delivery and core platform development, converting early deployments into repeatable system standards and evaluation practices that scale across regulated environments. About the role We are hiring a Forward Deployed Engineer (FDE) to push the frontier on what is possible today across drug discovery (e.g., target identification, molecular design, pre clinical) and development (e.g., trial design, trial ops, biostats) by leading end to end deployments of our models inside life sciences organizations and research institutions. You will work with customers who are deep experts in their scientific or operational domains, translating real world data, infrastructure, and constraints into production systems. You will measure success through production adoption, measurable workflow impact, and eval driven feedback loops, including evaluation benchmarks and acceptance criteria, that inform product and model roadmaps. You'll work closely with our Product, Research, Partnerships, GRC, Security, and GTM to deliver in regulated contexts, including inspection readiness with audit trails and traceable evidence. This role is based in London. We use a hybrid work model of 3 days in the office per week. We offer relocation assistance. Travel up to 50% is required. In this role you will Design and ship production systems around models, owning integrations, data provenance, reliability, and on call readiness across research, clinical, and operational workflows. Lead discovery and scoping from pre sales through post sales, translating ambiguous workflow needs into hypothesis driven problem framing, system requirements, and an execution plan with measurable endpoints. Define and enforce launch criteria for regulated contexts, including validation evidence, audit readiness, outcome metrics, and drive delivery until we demonstrate sustained production impact. Build in sensitive scientific data environments where auditability, validation, and access controls shape architecture, operating procedures, and failure handling. Run evaluation loops that measure model system quality against workflow specific scientific benchmarks and use results to drive model and product changes. Distill deployment learnings into hardened primitives, reference architectures, validation templates, and benchmark harnesses that scale across regulated life sciences environments. You might thrive in this role if you Bring 5+ years of software/ML engineering or technical deployment experience with customer facing ownership in biotech, pharma, clinical research, or scientific software; PhD, MS, or equivalent applied experience in a life sciences relevant field encouraged. Have owned customer GenAI deployments end to end from scoping through production adoption, and improved them through evaluation design, error analysis, and iterative evidence generation that tightens acceptance criteria over time. Have delivered AI systems in trial design, regulatory writing, or scientific operations where validation strategy, auditability, compliance constraints, and reviewer expectations shaped system design and rollout. Communicate clearly across scientific, clinical, model research, technical, and executive audiences, translating technical tradeoffs into decision quality, risk posture, and measurable outcomes with credibility. Apply systems thinking with high execution standards, consistently turning failures, escalations, and audit findings into improved operating standards, validation artifacts, and repeatable deployment playbooks.

A dynamic AI-first company in Greater London is looking for a Forward Deployed Engineer with over 5 years of backend or full-stack experience, particularly in Python and TypeScript. You will work directly with clients to build and deploy tailored solutions, integrating modern and legacy systems. This role offers a competitive salary package and the chance to collaborate closely with top talent in an innovative environment.

CommerceIQ's AI-powered digital commerce platform is revolutionizing the way brands sell online. Our unified ecommerce management solutions empower brands to make smarter, faster decisions through insights that optimize the digital shelf, increase retail media ROI and fuel incremental sales across the world's largest marketplaces. With a global network of more than 900 retailers, our end-to-end platform helps 2,200+ of the world's leading brands streamline marketing, supply chain, and sales operations to profitably grow market share in more than 50 countries. 10 out of the top 12 CPG brands work with us, including Coca-Cola, Nestle, Colgate Palmolive, and Mondelez. We've raised over $200M from some of the top investors including SoftBank, Insight Partners, and Madrona. Learn more at commerceiq.ai. The Role As a Forward Deployed Engineer, you will partner closely with our founders and the AI Product Managers to prototype and deploy AI driven solutions that solve our customers' most pressing problems. This is a founding engineering role with high visibility; you will report directly to our Head of AI Strategy and Outcomes. You will also partner with other members of the executive leadership team who are based at our Mountain View HQ, collaborate with our Bangalore based engineering team, and engage daily with enterprise customers. You will help define how we work with our most important customers, shape the company's first ever forward deployed engineering function, and contribute to our mission of helping brands win in AI driven e commerce. Location / Travel This position is on site at our London office with approximately 50% travel expected to client locations. We are only considering candidates located in the London, UK area at this time. What You'll Do Build prototypes with customers: Work alongside our AI Product Manager to understand real world problems, rapidly scope use cases and create working prototypes. You'll engage in hands on discovery and convert insights into functional demos for prospective and existing customers. Integrate data and create new AI agents: Ingest data from disparate sources (ERPs, ecommerce platforms, custom APIs) and build agents that solve the specific use cases uncovered during discovery. This includes turning edge case business rules into runtime editable settings rather than hard coded logic. Own AI outcomes: Lead customer facing demonstrations and proof of concepts. You'll instrument and tune models using production feedback loops to ensure prototypes deliver measurable outcomes. Rapidly iterate & generalize: Collaborate with engineering teams in Bangalore to transform prototypes into robust features. Your work will be implemented into our core product - patterns that succeed in one deployment (custom adapters, monitoring dashboards) should be packaged as reusable modules. Own the full lifecycle: Support engagements from pre sales scoping through post deployment refinement. You'll help to negotiate scope, push back on unreasonable asks, and ensure long term customer success. Additionally, you'll act as the technical liaison between customers, product managers, and engineering. Cultivate customer relationships: Develop deep empathy for our customers' business drivers and serve as their advocate. Use clear, engaging communication to convey technical concepts to non technical stakeholders, build trust and handle high stakes conversations. What You'll Bring Experienced engineer (4 6 years or more) with a strong foundation in software development (coding, problem solving and debugging). Comfortable coding in Python or Java and learning new technologies quickly. Full stack & data integration skills. Experience connecting to APIs, working with SQL/NoSQL databases, streaming/ETL pipelines and deploying AI/LLM based agents. Customer facing problem solver. You enjoy working directly with external users, conducting discovery, and translating ambiguous requirements into working solutions. You have excellent communication skills and the ability to simplify complex technical topics. Rapid prototyper. You are biased towards action and are comfortable delivering minimal viable solutions, collecting feedback and iterating quickly. Collaborative & global. You're effective working across time zones with leadership in California and engineering in Bangalore. You embrace CommerceIQ's leadership principles of ownership, deep diving into details, getting stuff done, thinking from first principles and winning as a team. Independent & adaptable. You thrive in ambiguity, can manage your own backlog and priorities, and are motivated by the opportunity to create a new function. Bachelor's degree, in Computer Science, Mathematics, or a related field. Nice to Haves Prior experience in a forward deployed, solutions engineering, technical product management or customer implementation role. Candidates coming from companies known for forward deployed engineering (e.g., Palantir, Scale AI, Ramp, Postman etc.) are strongly encouraged to apply. Familiarity with e commerce, retail, supply chain or ad tech data. Exposure to large language model applications (fine tuning, prompt engineering, building retrieval augmented generation workflows). Check out our LinkedIn page to learn more about what it's like to work at CommerceIQ! Equal Opportunity We are an equal opportunity employer and value 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, disability status or any other category prohibited by applicable law.

A fast-growing AI data intelligence startup in London is seeking a Forward Deployed Engineer to lead enterprise-scale AI projects. This role involves bridging strategy and technical execution while partnering with C-suite stakeholders. The ideal candidate has over 2 years of consulting experience, a strong analytical background, and thrives in dynamic environments. Opportunity to work with a high-caliber team and shape product trajectory in a fast-paced setting.

A leading technology firm in the UK seeks a Data Analyst / Engineer to join their Forward Deployed Engineering team. You will partner directly with customers during trials, transforming complex data into insights that drive AI procurement solutions. Ideal candidates will have over 2 years of experience, be fluent in Python and SQL, and have demonstrated the ability to work with messy data effectively. This position comes with a competitive salary of £60-70k and offers a hybrid work model along with excellent benefits.

We're looking for a Data Analyst / Engineer to join Magentic's Forward Deployed Engineering team. You'll be embedded at a critical point - working directly with customers during pilots and onboarding, turning complex, messy data into the insights that make our AI procurement solution sing. This isn't a build-dashboards-on-request role. You'll be working on real problems with real stakes, using modern data tooling - including LLMs - to move fast without sacrificing rigour. You'll be joining a small but exceptional team with backgrounds from Revolut, OpenAI, Meta, NASA and McKinsey. We're backed by Sequoia Capital and chasing a $3tn market opportunity. What You'll Do Partner with Forward Deployed Engineers to design and execute complex analyses during customer pilots and onboarding Turn ambiguous, real-world data into clear, actionable outputs for both technical and commercial audiences Use LLM-based techniques as a native part of your analysis workflow - not as a curiosity, but as a tool Work with data platform tooling built by our data platform team; potential to grow into building platform components yourself Communicate findings clearly to engineers and business stakeholders alike You Might Be a Great Fit if You Have 2+ years of experience in a data analyst, data engineer, or BI engineer role Are fluent in Python and SQL Have hands-on experience integrating LLM-based steps into a data analysis or pipeline workflow Can work with messy, real-world data and still ship something clean and useful Are a strong communicator with commercial understanding - you're comfortable explaining what you found and why it matters Thrive in fast-paced environments where speed and quality both matter Bonus Points Experience with dbt or similar SQL-based transformation tools Familiarity with cloud data storage (Azure Blob Storage, S3, or GCS) Experience building or contributing to data platform infrastructure Familiarity with a data orchestration tool (Dagster, Airflow, Prefect, or similar) 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 £60-70k Enhanced parental leave 25 days holiday exc bank holidays, plus an extra day for our Christmas shutdown In-office lunches provided Salary sacrifice pension and nursery schemes Hybrid London HQ (WFH Thurs and every other Tues, with flex if you have appointments etc) Annual team retreat-a fully-funded off-site to recharge, bond, and build Our Interview Process We can move quickly through these stages, so let us know if you have any timelines we need to meet. Initial call (30 mins): this first step is an opportunity for you to hear more about Magentic and the role, and for us to learn more about how your experience aligns with the role. Paired-programming interview (45 mins): in this step, we'll ask you to present some of your work to us and discuss it. In-person interview: for the final step, we invite you to come meet the team in-person. We find this is the best way for candidates to get a sense of what working at Magentic is like. This day will include a culture interview, founder interview and a presentation task and a discussion of your work with the team. 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.

Quick Summary Role: Full-time, based in London (in-person) Compensation: £70k-90k salary with generous equity Benefits: Private health + dental (Bupa), post-7pm dinner budget About Asterix We're solving the biggest problem in healthcare: The shortage of highly-qualified doctors. Millions of patients wait weeks for appointments. Millions more are stuck on hospital waitlists. Preventable conditions are missed and go unnoticed. You know this is a societal problem. Asterix is building the only scalable solution: a new model of care where highly-qualified doctors are augmented by best in class technology to make safer, more consistent clinical decisions. Our DoctorOS platform is becoming the backbone of modern healthcare delivery. We combine rigorous clinical leadership, real world healthcare workflows, and AI tooling that makes doctors 10x more productive. We're backed by Entrepreneur First, have recently closed an oversubscribed funding round, and are live with some of the largest healthcare providers in the UK generating revenue and scaling fast. Your mission at Asterix Your role will be to help us safely deploy AI in healthcare. This means owning the infrastructure to monitor, building and maintaining LLM evaluation pipelines, designing clinical document processing systems and working with NHS data integrations. We want to tackle the thorniest problem in healthcare that most shy away from: clinical work. This role is backend focused. We want you to be able to optimise, scale and own our core backend services end-to-end. This includes designing APIs and data models, to building reliable AWS based systems with strong observability and security, and integrating with NHS data sources as we grow. From day one, you will build software used by doctors to deliver patient care every single day. You're expected to own code, deploy to prod on your first day, solving problems end-to-end. From scaling infra to hiring the next teammate and jumping on customer calls, you do what needs doing. Who you are You know our stack Our stack is built for speed, reliability, and shipping fast in a regulated space. React + TypeScript on the frontend Vite, Tailwind, shadcn/ui, React Router 7, Vitest, Playwright, Biome. Clean, accessible, and well-tested. ️ Supabase for storage. AWS on the backend. Lambda, API Gateway, S3, SQS, DynamoDB, EventBridge, CloudWatch, SNS, Secrets Manager, SSM. Deployed with SAM and bash scripts. Simple, composable, no over engineering. You'll be a great fit for this role if: ️ You care You care about yourself and those around you, about your work, the user and the mission. You should get up in the morning and be excited about the day ahead. You want to work hard We have ambitious plans and are looking for people with the pace and endurance to get us there. This is a once-in-a-lifetime opportunity to make a dent in something that impacts everyone, and we are not watching from the sidelines. It's not a 9-5 job. You're high agency We want to work with people that take ownership over complex problems and come up with creative solutions to solve them. You're a team player We'll be spending a lot of time together and want to have fun doing so! We host regular team socials and invest in the team. You're hacky You have bent reality to achieve something. We want to hear about your latest side project and how you have broken the status quo. We care about you, not your credentials. We believe what you've worked on and achieved is more important and are look forward to hearing from you! Bonus if you: Have a clinical background or have worked in a highly-regulated environment Have worked on software/AI as a medical device Have previously been a technical co founder in a company or led an engineering team Why join us As Founding Backend Engineer you have outsized impact on the trajectory of the company. This is a role where you have the trust, ownership and scope to solve complex problems your way. You'll learn more + faster here vs anywhere else. What it boils down to: Purpose & Pace: This is a once-in-a-generation shot to solve the biggest problem in healthcare. We are the only company in the country approved to do this. We're going to take it by moving fast, working with intensity and executing without compromise. We don't want to look back and think we could've pushed harder. Top of Market Reward: Base Salary meaningful equity with the chance to do career defining work. No Friction: We cover whatever tools or resources you need to move fast. A Tight Knit Team: We work hard because we care, but we also laugh a lot, eat together, and back each other completely. Everyone here is here because they want to build something meaningful, with people they genuinely like. Our culture: The Asterix way Humble - We assume we're wrong until the data or a clinician proves otherwise. Curiosity over ego, always. High intensity, founder mentality - You don't wait for permission. You push problems to resolution. You act like an owner of the mission, the systems, and the culture. Solving one of society's biggest problems won't happen in a 9 to 5. We work hard, with purpose. Joyful energy - We take the work seriously - not ourselves. We celebrate progress, support each other, and keep the energy high. In person by design - We work shoulder to shoulder in London. It makes us faster, tighter, and better. We're an early stage company with massive ambition. We need real commitment and dedication. The pace here is fast, with ambitious delivery targets. You will thrive if this excites you, but if you are at the stage of your career where you want a traditional 9 to 5 this role is not for you. Salary and benefits Compensation: £70k-90k salary with generous equity 28 days holiday per year + bank holiday Central London office (Shoreditch), we're in person 4 days a week Private health and dental insurance by Bupa Expensed dinner after 7pm and £250 headphone budget Your choice of Macbook Pro and accessories Team events + offsites Application process If this sounds like you, click apply. Our interview process is straightforward and quick: Technical interview with a Founding Engineer, Culture & Motivation interview with Julian (Co founder & CEO), Take home task and in person task review. We've done this in less than 1 week in the past. If you know someone who would be a great fit, we offer a £2.5K referral bonus if you recommend and we hire them.

Job Title Forward Deployed Engineer Salary £120k Company Description Deducta - Fast-growing AI data intelligence startup Job Description Join an elite team of Rhodes Scholars and ex-MBB consultants at Deducta, an AI-powered platform transforming how global enterprises manage complex spend data. As a Forward Deployed Engineer, you will bridge the gap between high-level strategy and technical execution, embedding with C suite stakeholders to deploy agentic AI solutions that deliver measurable business outcomes. Location London, UK Why this role is remarkable Work directly with a high calibre founding team including Rhodes Scholars and former Bain consultants at a well funded, early stage startup. Transition from slide making to true ownership by managing enterprise scale AI deployments end to end for household name global clients. Enjoy a high autonomy environment where your consulting toolkit and technical rigour directly shape the product trajectory and company culture. What you will do Lead enterprise data transformation projects, from aligning C suite and VP level stakeholders to resolving front line technical deployment blockers. Partner with the commercial team to drive pre sales engagements, demonstrating product value and structuring complex technical deals. Map mission critical business challenges and deploy Deducta's agentic AI platform to cleanse, classify, and standardise fragmented global spend data. The ideal candidate 2+ years of experience at a top tier consulting firm (MBB or equivalent) with a proven track record of managing senior client relationships. Strong quantitative foundation with a degree in Computer Science, Mathematics, or Engineering, or equivalent experience in analytical fields like IB or PE. High agency operator who thrives in ambiguous environments and demonstrates "unreasonable hospitality" toward clients and teammates alike. Next steps Visit our website. Click 'Talk to Jack'. Talk to Jack so he can understand your experience and ambitions. Jack will make sure Jill considers you for this role. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. If not, Jack will find you excellent alternatives. All for free.

We are looking for a Lead Software Engineer to drive technical project delivery, guiding teams from concept to deployment while ensuring high-quality, scalable solutions. If you enjoy seeing your work deployed into 'real-life' applications, this is the perfect role for you. Not only will you directly contribute to our client deliverables, but you will have the opportunity to experiment with a range of cutting-edge techniques and deliver full-stack data science projects, from solution design through to deployment. You'll form an integral part of our close-knit team and will have the opportunity to directly contribute to the continued success of the business. We're looking for someone with a co-operative, can-do attitude who can build high-quality data engineering solutions. If this sounds like you, we can't wait to hear from you! KEY RESPONSIBILITIES: Lead the design, development, testing, and evaluation of complex software engineering solutions for the successful delivery of several, simultaneous client projects Build strong client relationships and lead project-centred client interactions Oversee the delivery of high-quality code and successful project outcomes Build processes for extracting, cleaning and transforming data (SQL / Python) Build AI systems using Large Language Models Actively seek out new opportunities to learn and develop Be an example of software engineering best-practice e.g. Git / Docker / cloud deployment Write proposals for exciting new commercial opportunities Line manage and provide career mentorship to other software engineers Manage project delivery teams Collaborate with stakeholders to understand business needs and develop technical strategies Take ownership of the development and implementation of internal processes and policies Proactive thought leadership to encourage development and promote ADSP Contribute to the development and deployment of delivery solutions Build processes for extracting, cleaning and transforming data (SQL / Python) KEY REQUIREMENTS: Experience of successfully leading complex software projects, including a holistic understanding of the development process, from design through to deployment, and associated project management and risks Experience of completing code reviews in Python and SQL through Git, and applying other best practices to technical projects Experience of using SQL and databases (SQL Server, Postgres etc), as well as a cloud platform for development Experience of leading the design, development, testing, and deployment of software solutions Experience of developing data engineering pipelines, backend services and APIs Extensive knowledge of software engineering concepts and principles with a deep understanding of emerging technologies and industry trends Understanding of Python advanced concepts including Object Oriented Programming (OOP), Concurrency, decorators, recursion Understanding of cloud deployment (e.g. AWS, Azure) and Linux scripting (e.g. bash) Advanced Docker skills with a deep understanding of Docker storage, volumes, and Linux permissions Ability to implement CI/CD pipelines (e.g. Azure DevOps, GitHub actions) along with automated PR checks and repository rules Ability to successfully manage delivery teams Ability to work with external stakeholders, including management of expectations understanding of business goals and balancing project requirements Ability to think strategically and make complex decisions Effective organisational skills e.g. planning, time management Strong communication skills, including leading meetings and presenting technical concepts to stakeholders Effective problem-solving and analytical skills, with high attention to detail INTERVIEW PROCESS: Stage 1: 20 min video call with a member of the hiring team Stage 2: 45 min Live Coding exercise Stage 3: 2hr F2F interview in our London office OUR BENEFITS: Competitive compensation package including annual performance bonus 26 days of annual leave, 8 bank holidays plus your birthday off BUPA Private Healthcare Enhanced family leave £1,000 annual development budget Flexible hybrid working (2 days a week in our modern Shoreditch office) Remote working from anywhere in the world for up to 4 weeks each year Latest tech that suits your needs: high-spec Windows machine or a MacBook Free snacks and drinks, and regular team socials Supportive entrepreneurial environment offering a ton of autonomy and opportunity to work on a variety of projects, technologies and industries Join us and realise your full potential in a collaborative, forward-thinking team, where your work will help shape the future. OUR COMMITTMENT TO DEI: At ADSP, we are committed to fostering an inclusive hiring process and believe in creating an environment where all candidates have equal opportunities to succeed. If you require any reasonable adjustments during the application or interview process, please do not hesitate to reach out to us at

At and Jet2holidays we're working together to deliver an amazing journey, literally! We work together to really drive forward a 'Customer First' ethos, creating unforgettable package holidays and flights. We couldn't do it without our wonderful people. Our IT Client User Experience Engineer is part of the Platform Reliability Team, who will be accountable for ensuring that all end user devices across the organisation are safe, secure, compliant, performant, and consistently delivering an excellent colleague experience. You will ensure that every client device-laptop, desktop, mobile, or virtual endpoint-runs optimally with all relevant applications deployed, updated, and monitored through automated, modern management tooling. You will play a key role in endpoint security, device compliance, software lifecycle management, performance optimisation, and user experience telemetry, ensuring colleagues can work efficiently and securely across all locations. Benefits Hybrid working (we're in the office 2 days per week) Annual pay reviews 26 days holiday (plus Bank Holidays) What you'll be doing: Ensure all client devices meet corporate security baselines, including encryption, secure boot, antivirus/EDR, MFA, conditional access, and OS level hardening. Monitor endpoint compliance using tooling such as Intune, Defender, Rapid7, SCCM or equivalent. Partner with the Cyber Security team to identify, triage, and resolve endpoint vulnerabilities quickly and work closely with IT Infrastructure, Cloud, Security, Service Desk, and Application teams to ensure seamless device operation. Maintain a centralised catalogue of approved applications with version control and documentation. Support the full lifecycle of devices: by working in partnership with members of the IT Hardware Asset Management team for the procurement, build, deployment, ongoing management, retirement and secure disposal of all client devices. Ensure devices remain fully patched (OS, drivers, firmware, apps) in accordance with corporate patching policies. Own the end-user experience across all device types, using analytics to identify pain points and opportunities. Support delivery of corporate initiatives (e.g. Windows feature upgrades, security uplift programmes, hardware refresh cycles). What you'll have: Strong knowledge of Windows 11, macOS, iOS/Android, and endpoint management tooling. Experience with modern management platforms (e.g., Microsoft Intune, SCCM, Autopilot, MDM). Proven experience in software packaging, scripting, application deployment. Good understanding of endpoint security principles (AV/EDR, CIS baselines, encryption, patching). Ability to troubleshoot complex endpoint issues across OS, application, network, and hardware layers. Strong documentation, attention to detail, and process discipline.