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The Fisher Investments Institutional Group (FIIG) serves a global client base of diverse investors, including corporate, public and multi-employer pension funds, foundations and endowments, insurance and financial institutions, and governments. FI currently manages ~$27B AUM with Responsible Investments/ESG/SRI guidelines (Environmental, Social, Governance/Socially Responsible Investing) for clients around the globe. The Opportunity: As the Responsible Investments (RI) Program Manager, you will lead the lifecycle of FIIG’s RI-related investment offerings which today include a diverse set of ESG/Sustainable/Impact/Paris-aligned/SRI branded strategies. Such leadership includes roadmap & product strategy development, competitor research, product design & enhancement, and external positioning. You will collaborate with multiple FIIG teams (New Strategy Development, Engagement, Sales/RFP, Marketing & Content) and firm groups (Portfolio Management Group, Legal Compliance Department, etc). You will understand global ESG investment trends & regulations to ensure the firm’s institutional ESG offerings are best positioned to meet current and future client demands. The Day-to-Day: • Support and develop ESG-product strategy, roadmap and business cases with firm stakeholders, • Conduct market and competitor analysis for equity/fixed ESG-product design and enhancement, • Create external product positioning, value-propositions, and key answers for FI’s ESG & Investment process, • Support the Responsible Investments team in day-to-day client/prospect requests and act as an internal ESG expert supporting training, • Maintain expertise in shifting ESG regulatory trends, industry standards, and best practices, • 5+ years' experience in the financial services sector with at least 3 years in ESG-product development, investment management, or manager research at an asset management/investment consulting firm, • Strong understanding of global equity markets, institutional investors, portfolio management techniques with experience communicating complex investment concepts, • Proven knowledge of ESG-related investor & regulatory trends in the EU (e.g. SFDR), UK and US, • Passionate about both Responsible Investments & asset management The global Fisher organisation distinguishes itself by putting clients first, providing unmatched service, and taking a personalised approach to investing. You can feel confident knowing that we align with our clients' best interests by using a simple and transparent fee structure and recognised European custodians. It's the people that make the Fisher purpose possible, and to help our employees meet their long-term goals, we offer an array of benefits, including: • 100% paid premiums for our top-tier supplemental medical, dental and annual health screening plans for employees and their qualified dependents, • 28 days annual leave, with the ability to purchase up to 3 additional days per year, plus up to 8 paid holidays, • Enhanced maternity pay package with 16 weeks' top up to full base pay for eligible employees, • $10,000* fertility, hormonal health and family-forming benefit, • A retirement pension plan, featuring a 9% company contribution of base pay with an additional company match of up to 5% of base pay on personal contributions, • Gym subsidy of up to £50 per month, • Employee Assistance Program and other emotional wellbeing services, • A collaborative working environment that practises ongoing training, educational support and employee appreciation events FISHER INVESTMENTS EUROPE IS AN EQUAL OPPORTUNITY EMPLOYER

About the Company Lynx Recruitment are supporting an award-winning integrated brand performance agency, bringing together specialists across media, creative, social, analytics, UX, data science, search marketing, and PR, who help both consumer and B2B brands navigate an increasingly complex digital landscape through a combination of strategic planning, cutting-edge technology, and data-driven insight. Role Overview We are looking for an Account Executive to drive the planning and execution of high-impact growth strategies. This role blends retail fundamentals, advertising performance, and emerging technologies such as AI-driven optimisation and advanced media measurement. You will manage client accounts, ensuring operational excellence across retail and advertising activities. Working closely with senior stakeholders, you will contribute to campaign strategy, performance optimisation, and client reporting, while also playing a key role in evolving marketplace offering. Key Responsibilities • Deliver commercially focused marketplace strategies and manage day-to-day campaign performance, • Support the development and execution of integrated strategies across retail, advertising, and content, • Plan, launch, and optimise ad campaigns (Sponsored Products, Sponsored Brands, Sponsored Display, DSP), • Conduct keyword, competitor, and category research to improve visibility and performance, • Optimise product detail pages, including content, imagery, and brand storefronts, • Use automation tools and AI-driven platforms to enhance efficiency and results, • Monitor performance and provide clear, actionable insights and reporting to clients, • Manage bids, budgets, targeting, and testing strategies to drive continuous improvement, • Stay up to date with ecosystem developments, tools, and best practices, • Contribute to team knowledge sharing and support new business initiativesAbout You, • Degree educated (2:1 or above), ideally in business, marketing, economics, or a quantitative discipline, • 1-2 years of experience in advertising, marketplace management, or retail media, • Hands-on experience managing Sponsored Ads campaigns, • Experience working with ecommerce or marketplace brands (agency or retail environment preferred), • Strong analytical skills with the ability to turn data into actionable insights, • Confident communicator with experience presenting performance insights, • Strong organisational skills with the ability to manage multiple priorities, • Advanced Excel and reporting capabilitiesWhy Join Us?, • Work with a collaborative team of specialists across multiple disciplines, • Opportunity to shape and grow marketplace capabilities, • Exposure to innovative tools, technologies, and leading brands, • Clear development pathway within a fast-growing environment

We're hiring an experienced AI Platform Engineer to design, build and operate a production-grade Generative AI platform powering next-generation intelligent products. This is a hands-on engineering role focused on taking AI solutions from prototype to scalable, reliable services used in real-world environments. You'll sit at the intersection of DevOps, cloud infrastructure and applied AI owning the full lifecycle of Retrieval-Augmented Generation (RAG) and LLM-powered systems across modern cloud architecture. This role is about engineering, not research. You will architect and run the infrastructure that enables AI to perform securely, reliably and at scale ensuring performance, cost control and operational maturity as adoption grows. You'll work closely with AI engineers, security teams, and product stakeholders to transform experimental models into hardened, production-ready services while shaping a reusable AI platform capable of supporting multiple products. What You'll Be Doing • Design and optimise scalable RAG pipelines and vector search systems, • Orchestrate multi-model AI services with a focus on latency, resilience and performance, • Productionise GenAI workflows and ensure they operate reliably under real usage, • Build and run AI services across AWS and Databricks, • Develop ingestion, embedding and retrieval pipelines, • Deploy containerised workloads via Kubernetes and Helm, • Implement Infrastructure-as-Code using Terraform, • Introduce end-to-end monitoring, tracing and alerting for AI workloads, • Improve inference and retrieval performance while reducing operational cost, • Establish fault-tolerant, scalable infrastructure patterns, • Embed security, evaluation and governance into the AI lifecycle, • Build CI/CD pipelines and automation to support continuous model deployment, • Create reusable platform components to accelerate future AI initiatives Strong experience in: • Cloud infrastructure engineering (AWS-focused environments), • Kubernetes, containerisation, and distributed systems, • Terraform / Infrastructure-as-Code, • CI/CD, automation, and platform reliability, • Running production workloads with high availability requirements Plus, experience with one or more of the following: • MLOps or ML platform engineering, • RAG architectures, embeddings, or vector search, • Model serving, observability or performance optimisation, • Data / AI workflow orchestration in Databricks or similar ecosystems Why Join? • Work on real-world AI systems operating at scale, • Own platform design decisions and influence long-term architecture, • Blend modern DevOps practices with cutting-edge Generative AI use cases, • Be part of a growing, innovation-driven engineering environment, • Opportunity to define how AI is operationalised across multiple products If you're excited by building the infrastructure that makes AI usable, scalable and reliable in production, we'd love to hear from you. 49914MSR1 INDLON The Portfolio Group are acting on behalf of our client in recruiting for this position.

UX Designer 24 month Fixed Term Contract - 2 days a week onsite in West London Up to £53,000 per annum, good pension contributions, 25 days holiday I'm currently partnering with a leading Not-for-Profit / Charity to recruit a User Experience (UX) Designer on a 24-month FTC within a collaborative digital team. This is a fantastic opportunity to shape impactful digital experiences across projects spanning fundraising, online collections, and immersive digital initiatives. You'll play a key role across the full product lifecycle-from discovery through to delivery-ensuring user needs are at the heart of every decision. Key responsibilities: • Lead user research, testing, and insight gathering to inform design decisions, • Translate insights into user journeys, wireframes, and prototypes, • Drive data-led UX improvements, including CRO and A/B testing, • Collaborate with cross-functional teams (product, design, content, development), • Strong experience in UX design, research, and optimisation, • Confidence working with both qualitative and quantitative data, • Proven ability to manage stakeholders and influence outcomes, • Experience with wireframing, prototyping, and experimentation tools If you're passionate about designing meaningful digital experiences within a purpose-driven environment, I'd love to hear from you-please get in touch to discuss further. Diversity, equity, and inclusion are at the heart of what we value as an organisation. Boston Hale is an equal opportunities employer, and all qualified applicants will receive consideration for employment without regard to race, religion, sex, sexual orientation, age, disability, or any other status protected by law.

Business Development Engineer – Power Transmission Location: North of London (covering London, Southeast & East Anglia)Salary: £40,000 + 1% Bonus on Sales in the stated areaJob Type: Full-time, Permanent About the Role We are looking for a dynamic and results-driven Business Development Engineer to join our clients' team and drive growth within the Power Transmission sector. This is an exciting opportunity for an ambitious professional with a strong technical background and a passion for sales, customer engagement, and market expansion. Key Responsibilities • Business Growth: Identify and develop new business opportunities to expand market share., • Client Engagement: Build and maintain strong relationships with clients, providing tailored solutions., • Technical Sales: Use technical expertise to advise customers on product applications and system designs., • Market Analysis: Research industry trends and competitor strategies to identify opportunities., • Sales Strategy: Develop and implement plans to achieve revenue and profitability targets., • Proposal & Contract Management: Prepare proposals, negotiate contracts, and ensure smooth project delivery., • Background in Mechanical Engineering, Power Transmission, or related technical field., • Proven experience in business development and technical sales., • Strong communication and negotiation skills., • Knowledge of gear systems, motors, drives, and industrial transmission technologies is highly desirable., • Ability to manage multiple projects and meet deadlines., • Proficiency in CRM systems and sales forecasting., • Competitive salary with performance-based incentives., • Opportunity to work with cutting-edge technology in a thriving industry., • Professional growth and career advancement.

Role Overview: proAV are a leading global audio visual integrator, providing AV and event services across multiple client partnerships globally. Our immediate requirement is for an experienced Senior Project Manager to be a key part of our Egham team, representing proAV, taking full responsibility for working as part of the proAV Systems Integration team to project manage client orders in the company’s systems vertical markets. This will include contract management, system design and commissioning within budget and to the satisfaction of our customers. This is an exciting opportunity for an exceptional, experienced Senior Project Manager to join an established operation with scope to drive and enhance the service at every opportunity. Experience and seniority of the position will be reflected by the remuneration and benefits package. Key Responsibilities: • Perform work on multiple projects within the budgeted cost and to the satisfaction of the client., • Liaison with other internal departments, clients and contractors., • Ensure that the H&S files are in place for your projects and that safe systems of work are put in place., • Design systems in terms of their electronics, mechanics’ and optics to meet the needs of our clients, using proven technology and also looking for new and interesting solutions to problems., • Understand the contractual requirements of your projects., • Ensure that technical and drawing information is available and correct to allow others to perform their works in an efficient manner., • Physically setup elements of systems to prove the concept., • Deal with all aspects of the financial management of your projects including invoicing and variations ensuring that we are not financial exposed and get paid in a timely fashion., • Liaise with suppliers to research product information and purchase the necessary components for a system ensuring that we are getting the best value for money., • Deal with all aspects interfacing of audio visual systems into our client’s buildings this will encompass both hardware and software interfaces., • Perform on-site commissioning and configuration programming of our systems., • Represent the company at a senior level with the necessary level of professional conduct and presentation., • To develop your knowledge from both experience and research to become an “expert” in one or more of a particular area of our project work to whom others in the organisation can refer. Desirable skills: • Possess a good underpinning technical knowledge of Electronics and Audio Visual Systems., • Organised and flexible with the ability to approach different types of tasks during the working day., • An understanding of contracts and commercial processes., • Ability to plan and organise projects and schedule work, • Ability to prioritize and work under pressure is essential., • Competent to a high level of computer literacy., • Able to work as part of a team., • Ability to think laterally finding an appropriate solution to fulfil an application., • Good communication skills both verbal and written, being able to communicate with company executives to building contractors., • Ability to work to the highest quality standards, with attention to detail ensuring that we complete our work thoroughly, never walking away from a problem., • Demonstrate a professional, enthusiastic & committed approach at all times. Hours of work: 40 hours per week, 9 hours a day, 8.30am-5.30pm, including an hour unpaid break, Monday-Friday. About Us: proAV designs, integrates and supports blended technology solutions with AV, UC and beyond including end-to-end services and 24/7/365 support to enhance global collaboration and empower your world of communication. From reviewing technology to integration to post-deployment support, you’re in safe hands when you trust your AV and UC to proAV. We are recognised as one of the AV industry’s most powerful international delivery and support operations trusted by a varied client base in more than 80 countries across 6 continents. To date, we have completed 700+ projects outside of the UK that meets the demands and challenges of a globalised marketplace, keeping the lines of communication and collaboration open. From our state-of-the-art Customer Services Centre and Video Network Operations Centre (VNOC) our dedicated teams manage, monitor and protect our global clients’ business-critical AV systems architecture, products and technologies 24/7/365. Equality, Diversity & Inclusion: proAV is an equal opportunity employer that is committed to supporting and promoting an inclusive culture for all employees and job applicants. We want everyone to feel comfortable being themselves and create a culture where we understand and respect each other’s differences. proAV does not tolerate discrimination based on age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. We make employment decision based on the needs of our business and the qualifications and/or experience of the individual. proAV offers personal and professional development opportunities, not just through traditional qualifications, but also through Apprenticeship schemes, internal training and mentorship programmes. We support employees and job applicants with their work-life balance through our family friendly policies and practices. We encourage all to apply.

University of the Arts London (UAL) is a world-leading creative university for teaching and research in art, design, fashion, communication and performing arts. UAL is made up of six renowned colleges and hosts several institutes that further the university’s mission and social purpose. Digital & Technology at UAL is on an exciting journey, transitioning from a ‘classic’ IT approach to a user-centred product approach to technology. We are investing in our people, and the processes enabled by digital, to evolve and transform the student and staff experience at UAL. This is an exciting opening for a Senior Developer within Digital & Technology at University of the Arts London. Focused on delivering new digital functionality and web development support for UAL’s digital channels, which include the main university website, student portfolio and showcase platforms, using PHP, JavaScript, HTML and related technologies. You will be working with the core content management systems, and the wider development team to produce new functionality and services across a range of exciting digital products. You will be instrumental in designing and building foundational systems to reduce and realign our tech stack and help modernise ways of working. You will also get the opportunity to play a key role in projects, working with key stakeholders to identify requirements for new applications, working in an Agile environment. In this post you will line manage a Web Developer and a Junior Developer. Experience • Extensive experience of developing websites and web applications using PHP 8+, MySQL, JavaScript, HTML5, CSS3, AJAX/JSON, • Good working understanding of CMS and frameworks such as Drupal, WordPress, Craft and Laravel, • Proficiency and application of WCAG 2.2 accessibility guidance, • Knowledge of microservices, APIs (build and integration) and cloud services (AWS), • Strong stakeholder management experience, along with high level inter-personal and communication skills, • Experience working as a member of a development team, providing support, mentoring and cover where needed UAL is a world-class university, shaping the creative industries worldwide, and staff have access to a range of benefits, training and personal development to recognise and reward the contributions they make, and to encourage excellence, creativity and diversity, including: • Competitive salary package of £44,375 – £52,977 per annum depending on experience, • 34 days annual leave plus public holidays, • Generous, defined benefit pension scheme, • Family-friendly policies, including 26 weeks of full maternity or paternity pay HAYS Technology have been retained by University of the Arts London to manage the search and recruitment of this role. For all enquiries, please contact Liam Cornelius-Rumsey at Hays Technology.

Full-Stack Software Engineer (Python / React) - Remote Full-Stack Software Engineer with strong Python (Flask Framework), React, and AWS experience is needed for one of our clients, an independent, research-tech startup that is transforming how the world evaluates and trusts academic research. This is a great opportunity for any experienced Full-Stack Engineer looking to work in a high-growth, greenfield-leaning environment, or for someone ready to step up and take ownership of engineering delivery across modern cloud-native platforms. You'll be working closely with the Lead Engineers / Senior Engineers, helping drive innovation across backend, frontend, DevOps, and data engineering initiatives. The role is fully remote, with the odd meet up in London Key Skills Required • Strong experience in Full-Stack Engineering, • Python (Flask), • React / TypeScript, • Comfort working in AWS environments, ideally with EKS / Kubernetes, • Strong Git-based development workflows, • Experience delivering features end-to-end in distributed teams, • Confident troubleshooting production issues in real time Desirable Skills • Apache Spark (EMR) & Delta Lake, • PostgreSQL (Aurora), • CI/CD using GitHub Actions, • IaC (Helm, CloudFormation) You'll be hands-on in a broad, impactful role: • Backend development using Python / Flask, • Maintain and expand the TypeScript / React frontend, • Build and maintain Dockerised microservices deployed to AWS (EKS), • Troubleshoot and optimise performance across the stack, • Support data ingestion and transformation pipelines (Spark-based), • Work cross-functionally with product and data specialists, • Help shape new features and influence engineering standards This role is 100% hands-on engineering, with the autonomy to take ownership of your domain Our client is reshaping the future of research. Backed by a recent milti million pound investment from industry leaders they are building the next generation of research tools Their mission is clear: • Research integrity using AI & Tech, • Scale technology, • Build best-in-class products If you're mission-driven and excited by solving big, meaningful problems, this is the team for you. My client is looking to pay a starting salary of between £65,000 - £75,000 If you think you have the right skills to flourish in this role or know someone who will fit the role, please send over your CV to matthew.leach @ circlerecruitment.com or click apply, and I will be in touch soon. Alternatively, please call on for further information Interviews will commence ASAPFull Stack Developer / Python / React / AWS London / Birmingham / Manchester / Nottingham / Bristol / Cambridge / UK Wide / Remote Circle Recruitment is acting as an Employment Agency in relation to this vacancy. Earn yourself a referral bonus if you refer somebody else who fills the role! We also offer an iPad if you refer a new client to us and we recruit for them. Follow us on Facebook - Circle Recruitment , Twitter - @Circle_Rec and LinkedIn - Circle Recruitment.

Next-Generation Connectivity R&D Position Ref: KM47280 This is an exciting opportunity to join the UK office of a Japanese manufacturer in an R&D-focused role within next-generation connectivity and digital services. The position involves researching advanced technologies and market trends in Europe, and helping shape new service and technology applications for wider global use. In addition to research activities, the role also supports cross-functional project delivery and practical implementation in collaboration with internal and external stakeholders. TYPE: Permanent, full-time SALARY: Around £50k depending on experience START: TBD LOCATION: West London, UK, Hybrid working available Next-Generation Connectivity R&D Position Main Responsibilities This role covers a broad range of activities across technology research, validation, and project support within the next-generation connectivity and digital field. • Conduct research into advanced and emerging technologies, • Support validation and PoC activities for new technologies and services, • Prepare internal technical documents and proposal materials, • Manage and improve cloud-based and test environments, • Coordinate projects with internal departments and stakeholders, • Analyse technology trends and market developments, • Explore new service ideas and potential use cases, • Collaborate and share information with global teams, • Work with external partners and research organisations, • Attend meetings, events, and workshops as required Next-Generation Connectivity R&D Position Ideal Candidate • Experience in IT, networking, software, cloud, or a related technical field, • Experience in technical research, validation, or R&D activities, • Experience leading or driving projects independently, • Strong communication skills and the ability to work effectively with different stakeholders, • Ability to explain technical topics clearly in writing and verbally, • Self-motivated and able to work proactively, • Right to work in the UK, • Valid UK driving licence, • Knowledge or experience of cloud platforms and API integration, • Experience with PoC, MVP, or prototype validation, • Experience in commercial service or product development, • Experience using cloud platforms such as AWS, • Master’s degree or PhD, • Experience working in an English-speaking environment, • Understanding of Japanese companies or experience working with a Japanese headquarters ** All applicants for the Next-Generation Connectivity R&D Position must have the right to work in the country without any restrictions as the Company is not able to offer visa support. ** Working holiday and graduate visa holders with more than 18 months remaining on their visa may also apply, depending on their experience. If your application is successful, you will be contacted within two business days. We regret that due to the high volume of applications we receive we cannot provide feedback on individual CVs.

Machine Learning Engineer - £110k – £130k – Geospatial Tech 4 GoodMachine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit-learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech |Do you want to work with a business building AI-native data system that bring clarity and credibility to nature-based assets?A business tackling complex, real-world environmental challenges, helping organisations make high-impact decisions around risk, resilience and commercial performance?This is the chance to join as a Machine Learning Engineer working with a climate-tech scale-up applying cutting-edge Machine Learning to satellite data, weather models and environmental signals, reshaping how nature is valued in real-world decision-making.Joining their AI team, you’ll design and deploy models that forecast climate volatility, detect vegetation stress, and generate risk-driven insights from remote sensing and time-series data. You’ll work across AI, climate science, geospatial modelling and scalable pipelines, contributing meaningfully from day one.What you’ll be working on:• Building and evaluating Machine Learning/DL models for satellite, weather and climate data• Forecasting environmental and risk-related signals (volatility, vegetation stress, land-surface change)• Developing geospatial and remote-sensing models (Sentinel-1/2, GEDI, optical, radar, LiDAR)• Creating time-series and forecasting models for environmental change• Translating business questions into robust modelling problems• Turning research prototypes into scalable, reproducible AI pipelines• Communicating assumptions, uncertainty and results clearlyThe must-haves:• Strong background in Machine Learning, DL and Applied Statistics• Time-series modelling + backtesting• Experience with geospatial and climate datasets• Python stack: PyTorch, scikit-learn, scipy• Reproducible workflows (Git, AWS/cloud, W&B)Nice-to-haves:• Risk modelling, financial time series, portfolio optimisation (great for FinTech/quant backgrounds)• Climate/weather datasets (CMIP, forecast data)• Geospatial tools: rasterio, xarray, geopandas, GDAL• Remote sensing (optical, radar, LiDAR)• MLOps: CI/CD, containerisation, monitoring• Startup or fast-paced product environmentThe role offers £110k–£130k, a global team environment, and the chance to shape the future of AI-powered environmental and risk intelligence.If it ticks those boxes, don’t hang about message me: Machine Learning | Deep Learning | Time Series | Climate | Remote Sensing | PyTorch | scikit-learn | Geospatial | AWS | MLOps | Python | Risk Modelling | FinTech |

University of the Arts London (UAL) is a world-leading creative University for teaching and research in art, design, fashion, communication and performing arts. UAL is made up of six renowned colleges and hosts several centres and institutes that further the University’s mission and social purpose, through the students and ideas we send out into the world and the partnerships we build to achieve social, environmental, and economic progress. Digital & Technology at UAL is on an exciting journey, transitioning from a ‘classic’ IT approach to a user-centred product approach to technology. We are investing in our people, and the processes enabled by digital, to evolve and transform the student and staff experience at UAL. Product Management is an evolving discipline within Digital & Technology at UAL, supporting the next step in our journey towards product management and user-centric design. Over the last two years we have been scaling our capabilities, shifting focus from a technology and project-centric approach to the design of intuitive, positive user experiences, and optimised digital services that can scale to support the ambitious growth outlined in our strategy. As a Product Manager, you will play a key role in discovery for a diverse range of products and services that underpin the overall student and staff experience at UAL. You will be defining outcomes, ensuring effective prioritisation and embedding data driven decision-making. Key to success in the role will be accountability for the ongoing, measurable and continuous product improvement, as well as significant product developments to deliver our strategic ambitions. In this recruitment round, we are seeking two Product Manager to work across our Student Experience service group as we focus on creating and enhancing a seamless and reliable digital experience. We welcome applications from experienced Product Managers who want to work for an organisation that is committed to social purpose and is growing to face new opportunities and challenges. Experience • A background of developing digital products for varied audiences and defining roadmaps, including discovery and product delivery, • Knowledge of effective product lifecycle development and processes across a large, complex environment, • Extensive experience of working with a diverse range of stakeholders and external partners to deliver and develop digital products and services., • Experience of Agile and Scrum, as well as other software and product development and delivery methodologies, • Broad awareness of enterprise technology, • Demonstrable experience of driving and championing new ways of working while bringing people along with you UAL is a world-class university, shaping the creative industries worldwide, and staff have access to a range of benefits, training and personal development to recognise and reward the contributions they make, and to encourage excellence, creativity and diversity, including: • Competitive salary package of £52,977- £63,815 per annum, depending on experience, • 34 days annual leave plus public holidays, • Generous, defined benefit pension scheme, • Family-friendly policies, including 26 weeks of full maternity or paternity pay HAYS Technology have been retained by University of the Arts London to manage the search and recruitment of this role. For all enquiries, please contact Breanna Mahan at Hays Technology.

Machine Learning Engineer - London Join the analytics team as a Machine Learning Engineer in the technology industry, where you'll design and implement innovative machine learning solutions. This permanent role in London offers an exciting opportunity to work on impactful projects in a forward thinking environment. Client Details Machine Learning Engineer - London This opportunity is with a medium-sized organisation in the technology industry. The company is committed to utilising advanced analytics and machine learning to enhance its services and deliver value to its clients. Description Machine Learning Engineer - London This role focuses on training custom models, building robust ML pipelines, and deploying systems at scale from research experimentation through to monitored production services. • Design, train, and optimise machine learning models for audio processing tasks such as speaker diarization, automatic speech recognition (ASR), and voice activity detection., • Build and maintain training and inference pipelines using PyTorch, and related ML frameworks, • Source, curate, and prepare training datasets; implement preprocessing, augmentation, and validation workflows., • Run structured experiments, evaluate model performance, and iterate based on measurable results, • Build, deploy, and operate end-to-end MLOps pipelines, including experiment tracking, model versioning, and production monitoring., • Package and deploy models using Docker and cloud infrastructure, with a focus on reliability and scalability, • Design and deploy agent-based AI systems that can execute multi-step workflows and integrate with external tools., • Build Model Context Protocol (MCP) servers to enable standardised integration between models, APIs, and data sources., • Evaluate and integrate large language models into production systems where they add clear value. Machine Learning Engineer - London A successful Machine Learning Engineer should have: • Strong foundation in machine learning, deep learning, and optimisation, • Hands-on experience training, evaluating, and deploying ML models in real-world systems, • Proficiency with PyTorch (preferred) or TensorFlow; familiarity with the Hugging Face ecosystem, • Experience with audio or speech models and frameworks., • Experience building and maintaining end-to-end ML pipelines and MLOps tooling (e.g. MLflow, Weights & Biases, DVC, or similar)., • Strong Python skills; experience with Docker, CI/CD, and cloud platforms (Azure preferred), • Practical experience designing agentic AI systems and integrating models with external services, • Comfortable owning the full ML lifecycle, from data preparation to production deployment Machine Learning Engineer - London • Competitive salary ranging from £80,000 to £100,000 per annum., • Comprehensive benefits package to support your well-being., • Opportunity to work in a leading organisation within the insurance industry., • Collaborative and innovative work environment in London.

Senior Full-Stack JavaScript Engineer / Senior Developer / Staff Engineer (JavaScript) – Thought Leader Node.js / React / Next.js / AWS Serverless London (Hybrid - office based Tues/Weds/Thurs) £90k + Bonus + Excellent Benefits Discretionary bonus (10%), Private Healthcare, 25 Days Holiday, 5% Pension, Life Insurance, 2 Volunteering Days, Season Ticket Loan Build systems that power world-class storytelling This is an opportunity for a senior, product-minded engineer to take a leading role in shaping both technology and engineering culture within a company trusted by some of the world’s most recognisable media brands. With 25 years of industry presence and a team of 140, this organisation values craftsmanship, stability, and long-term thinking over short-term delivery. Their product is central to storytelling in media so reliability, performance, and usability truly matter. The opportunity: This is not just another senior engineering role. You’ll operate as a technical leader and thought partner, contributing to architecture, guiding engineering standards and influencing how systems evolve over time. While you’ll remain hands-on, your impact will extend beyond your own code, shaping decisions, mentoring others and elevating the team. You’ll work across the full stack, owning everything from elegant frontend experiences to robust backend services and infrastructure, with the autonomy to make meaningful technical decisions. What you’ll be doing: • Leading the design and evolution of full-stack architecture across frontend, backend, and serverless systems, • Building high-quality, performant applications using React and Next.js, • Designing and scaling Node.js APIs and distributed backend services, • Driving best practices in code quality, testing, observability and maintainability, • Partnering closely with product, design, and research to shape solutions end-to-end, • Acting as a technical sounding board and mentor within a collaborative team, • Contributing to decisions around tooling, infrastructure, and emerging technologies (including AI-assisted workflows) What success looks like: Within your first 6–12 months, you will have: • Shaped key architecture decisions across the platform, • Delivered scalable, production-grade Node.js services supporting critical workflows, • Shipped polished, high-impact frontend experiences used daily by customers, • Improved system performance, reliability, and scalability in measurable ways, • Elevated engineering standards through thought leadership, mentorship, and best practices Tech environment: • TypeScript / JavaScript, • Node.js (API & backend services), • React, Next.js, • AWS Serverless (Lambda, API Gateway), • Vercel, • SQL Server, • Algolia, • CI/CD (TeamCity) You’ll thrive here if you: • Are a senior or staff-level engineer who enjoys owning problems end-to-end, • Think beyond implementation — you care deeply about architecture, trade-offs, and long-term impact, • Have strong experience building Node.js backends and modern React applications, • Enjoy working as a true full-stack generalist, comfortable across frontend, backend, and infrastructure, • Naturally contribute ideas, challenge thinking constructively, and raise the bar for those around you, • Value collaboration, clarity, and thoughtful engineering over quick fixes What you’ll find: • A mature, craft-led engineering culture, • Real influence over technical direction and product decisions, • A highly collaborative, cross-functional environment, • The space and trust to solve problems properly, • A stable, successful business with meaningful impact in music and media This isn’t about chasing trends or shipping fast at any cost. It’s about building the right things, the right way and having the experience and perspective to lead others in doing the same. If you’re a Senior Full-Stack Engineer ready to step into a broader role, apply now or contact Simon Morris at Ithika Recruitment for a confidential chat. Ithika Recruitment, partnering world-class talent with world-class companies

Are you an experienced Electron Microscopy Scientist seeking a dynamic customer-facing role? This is an exciting opportunity to join a fast-growing, cutting-edge technology business developing advanced imaging software for electron microscopy. In this is a hands-on, customer-facing role you’ll provide pre-and-post sales support to customers. You will sit at the intersection of science, software and applications, helping translate innovative technology into real-world impact across academic research and industry. Key responsibilities include: • Acting as the technical bridge between customers and internal R&D teams, • Supporting installations, configuration and troubleshooting of advanced microscopy software, • Delivering product demonstrations, training sessions and workshops (remote and on-site), • Working closely with customers to understand workflows and recommend optimised solutions, • Feeding back insights to support product development and new feature design, • Supporting pre-sales activities with technical expertise, • Contributing to technical documentation and testing of new software releases, • Degree in a relevant scientific discipline (e.g. Physics, Biology, Materials Science, Engineering or similar), • Strong hands-on experience with electron microscopy (TEM, SEM, STEM, FIB-SEM), • Experience with Python and image/data processing workflows is desirable, • A problem-solving mindset with the ability to apply complex techniques in practical settings, • Confident communication skills, • Solid understanding of imaging workflows, analysis software and data handling Apply now or get in touch for a confidential chat. VRS9426DJ

About us HDI is a Corporate & Specialty Insurer part of the Talanx Group. With over 120 years of experience, HDI operates across five continents, around 40 countries and employs over 5,000 people worldwide. The role To deliver Risk Engineering Services for customers and colleagues throughout HDI. Protect the interests of HDI Global SE, and contribute to the UK and Ireland Branches achievement of strategic growth and operational plans. Key accountabilities • The provision of Risk Engineering Services, including;, • Site surveys and report writing, • Risk reviews, assessments and Desk Top Surveys (Deskies), • The possibility of some account engineering, • Management and monitoring of risk improvements, • Review 'Project Works', • Technical support to Underwriters and Customers, • Actively participate and contribute to Risk Consulting and Branch by way of; own initiative, forums, committees or projects to improve development, effectiveness and efficiency., • Represent positively the Company at external networking events, and enhance and promote our customer proposition and capability. Enhance professional profile within the risk and insurance industry, and cultivate strong relationships with our Customers and Brokers., • Risk Engineering experience working across a range of occupancies. Some exposure to large industrial customers would be an advantage., • Degree qualified in an engineering discipline., • A working knowledge of insurance and the terminologies used across construction, property and business interruption., • A good working knowledge of internationally recognised automatic fire protection codes ideally including NFPA, FM Global and LPC standards., • Able to evaluate information from a variety of sources and solve problems., • Excellent communication and interpersonal skills; comfortable with phone & face to face discussions with underwriters, customers, brokers and colleagues; confident in presentation, negotiation and networking scenarios., • Accuracy and attention to detail. Maintain accurate, orderly and methodical paper and electronic files that should always be available for auditing and meet regulatory requirements., • Self-motivated and able to organise own workload effectively to meet service standards., • Deadline focused; able to work under pressure to meet tight deadlines. Customer focused., • Ability to travel as required meeting with Customers and Brokers - possibly throughout the world., • To work from home (as a base for site visits and report writing etc..) however to work as regularly as possible from one of our offices (London, Manchester, Glasgow or Birmingham) to provide a local resource for underwriting for day to day queries and help foster good communication / relationships with the property underwriting team As an equal opportunities employer, we are committed to creating an inclusive environment for all employees, recognising that a diverse and inclusive workplace is a creative and prosperous one. If you require support with your application, please contact UK&

Job Title: Machine Learning Engineer (Mid-Level) Salary: £70,000 Location: London Employment Type: Full-Time The Company Our client is an innovative and rapidly growing technology-driven organisation based in London. The business is building advanced data and AI capabilities to support intelligent products, predictive analytics, and automated decision-making across its platforms. With a strong investment in data infrastructure and machine learning technologies, the company is creating an environment where engineers can work on complex problems, develop scalable ML solutions, and collaborate closely with data scientists, engineers, and product teams. This is an exciting opportunity to join a high-performing team focused on delivering cutting-edge machine learning solutions that have a direct impact on business outcomes and product innovation. The Role The company is seeking a Mid-Level Machine Learning Engineer to design, build, and deploy machine learning models into production environments. You will work closely with data scientists and software engineers to develop scalable ML pipelines, optimise model performance, and integrate machine learning capabilities into production systems. The role involves working with large datasets, building robust ML systems, and supporting the full lifecycle of machine learning solutions—from experimentation to deployment and monitoring. Key Responsibilities Machine Learning Development • Develop, train, and optimise machine learning models for production applications, • Work with large datasets to build predictive and analytical models, • Collaborate with data scientists to transition models from research to scalable production systems ML Engineering and Deployment • Design and maintain machine learning pipelines and model deployment infrastructure, • Implement automated model training, validation, and monitoring processes, • Ensure models are scalable, reliable, and performant in production environments Data Engineering and Infrastructure • Work with data engineers to build efficient data pipelines and feature engineering processes, • Optimise data workflows to support model development and experimentation, • Contribute to the development of robust ML infrastructure and tooling Collaboration and Product Integration • Work closely with product, engineering, and analytics teams to integrate ML models into applications, • Translate business requirements into machine learning solutions, • Communicate technical insights clearly to stakeholders Continuous Improvement • Monitor model performance and retrain models as required, • Identify opportunities to improve algorithms, data pipelines, and system performance, • Stay up to date with emerging machine learning technologies and best practices Skills and Experience • Strong programming skills in Python, • Experience with machine learning frameworks such as TensorFlow, PyTorch, or Scikit-learn, • Experience working with SQL and large datasets, • Familiarity with data pipelines, feature engineering, and model optimisation, • Understanding of MLOps practices, model deployment, and monitoring, • Experience working with cloud platforms such as AWS, GCP, or Azure, • Strong analytical thinking and problem-solving skills Experience Required • 3–5 years’ experience in Machine Learning Engineering, Data Science, or AI development, • Experience deploying machine learning models into production environments, • Background working with large-scale data systems or data platforms, • Degree in Computer Science, Data Science, Mathematics, Engineering, or a related quantitative discipline What the Company Offers • Competitive salary of £70,000, • Opportunity to work on real-world machine learning systems and advanced AI solutions, • Collaborative engineering culture with strong technical mentorship, • Exposure to large datasets and cutting-edge ML technologies, • Clear career progression within a growing data and AI team, • Modern office environment in London This is an excellent opportunity for an ambitious Machine Learning Engineer who wants to work on impactful AI projects and contribute to building scalable machine learning systems within a growing and innovative organisation.

Our client is a global legal technology business operating one of the most established cloud-based law firm management platforms in the market. In the UK they are outpacing the sector and their trajectory shows no sign of slowing. Their platform is trusted by midsize and larger law firms to connect, organise and automate everything from matter and document management to billing, accounting and client communications. Due to the growth trajectory they're on, they're looking for an Account Executive, a strong new logo hunter, to join the team in London to help drive new revenue. The role calls for a consultative approach. Their customers have genuine, complex pain points and they need a partner who will listen, understand and demonstrate real value - not someone who wins business through pressure and volume. If that distinction matters to you, you are in the right place. What you will do: This is a full 360 sales role. You will be responsible for growing the UK customer base: identifying the right firms, building trusted relationships at all levels and guiding prospects through a considered sales process that leads to long-term partnerships. This includes outbound prospecting, managing a pipeline, delivering compelling demonstrations and meeting ambitious but realistic targets. You will develop deep knowledge of the platform, becoming the kind of expert a prospective client genuinely wants to speak with and use Salesforce CRM to track and manage your activity. Who you are: Specific experience is required for this role, including: • 5+ years in SaaS legal tech sales, consistently meeting or exceeding targets, • Demonstrable experience of running multi stakeholder sales processes, • A strong working knowledge of the legal sector - practice management software experience is a huge plus, • Demonstrable experience selling into law firms at senior and operational levels, • Strong ability to assess customer needs and build trusted relationships at all levels, • Strong technical aptitude with the desire to become deeply fluent in the product, • Ability to research, identify, qualify, progress and close opportunities, • Comfortable working in a fast-paced environment with minimal supervision, • High energy, positive attitude and strong presentation skills, • Excellent verbal and written communication skills The company are offering a very competitive base salary and double OTE, excellent benefits package and a good platform to progress your career. If you meet the above criteria, please send your CV and 5 bullet points as to why you're a good fit for this role to: Please note that where a level of preferred experience or qualification is indicated, this is a guideline only and does not preclude applications from candidates with more or less experience.Jameson Legal acts as an employment business for temporary recruitment and as an employment agency for fixed term contract and permanent recruitment.

SOC Engineer - SIEM, Exabeam, SOAR, EDR, IDS/IPS, MITRE, Azure, SC-200, SC-100, Our leading global law firm client are currently looking to take on a new SOC Engineer (SIEM, Exabeam, SOAR, EDR, IDS/IPS, MITRE, Azure, SC-200, SC-100) to join their team on a contractual basis. The firm are an extremely modern law firm which offer a healthy hybrid working solution 2-3 days per week in London and offer a great deal of autonomy and technical exposure. This SOC Engineer (SIEM, Exabeam, SOAR, EDR, IDS/IPS, MITRE, Azure, SC-200, SC-100) role, will be responsible for the enhancement of existing SIEM platform and improve performance, coverage and fidelity by conducting regular assessments of the SIEM architecture. To be considered for this SOC Engineer (SIEM, Exabeam, SOAR, EDR, IDS/IPS, MITRE, Azure, SC-200, SC-100)Defender) role, it's ideal you have: • 3 + years within a similar role, • Ideal but not required law firm experience, • Enhance and optimise the existing SIEM platform to improve performance, coverage, and fidelity., • Conduct regular assessments of SIEM architecture and propose improvements to ingestion pipelines, parsing rules, correlation logic, and storage management., • Identify, prioritise, and onboard new log sources from cloud, on-prem, network, endpoint, identity, and application platforms., • Develop and maintain custom parsers, connectors, and ingestion playbooks., • Design, implement, test, and tune detection use cases based on attacker techniques (MITRE ATT&CK), threat intelligence, and risk appetite., • Build correlation rules, anomaly-based detections, dashboards, and alerting workflows., • Work closely with SOC analysts to validate and refine detection logic., • Support incident investigations through SIEM searches, enrichment, and data modelling., • Maintain high-quality documentation covering data models, feed onboarding, use cases, correlation logic, and architecture. Technical Expertise • Hands-on experience with leading SIEM platforms (e.g., Exabeam, LogRhythm, ArcSight, Microsoft Sentinel, Splunk, QRadar, Elastic)., • Strong understanding of log formats (JSON, syslog, XML, CEF, etc.) and ingestion technologies (Syslog, API, Event Hubs, Kafka, Agents)., • Practical knowledge of detection engineering, threat modelling, and attacker behaviour analysis., • Experience building and tuning correlation rules, searches, and dashboards., • Strong understanding of networking, Windows/Linux systems, Cloud platforms (Azure/AWS/GCP), identity systems, and endpoint protection technologies (e.g. SentinelOne and Microsoft Defender), • Level 4 or higher qualification in a computing subject, or equivalent experience, • IT experience including both IT Infrastructure and Information Security roles, • Relevant professional certifications that validate the fundamental skills required to perform the role, e.g. GIAC (GCIA,GCDA,GMON) Microsoft SC-200/SC-100, CompTIA Secure Infrastructure Specialist (CSIS), SSCP/CISSP etc, • Strong skill level in scripting technologies, including Python, MS PowerShell and PowerApps, • Ability to conduct research into Infrastructure issues and products as required, • Self-starting with strong interpersonal, written, and oral communication skills., • Data Loss Prevention, • Secure Remote Access solutions, • Network Security solutions, • Open Source and Cyber Threat Intelligence, • Suitable experience working with the market leading technology vendor product suites, • Experience in software-defined and cloud services such as SaaS, IaaS, PaaS and DaaS, • Experience in Disaster Recovery Management and Business Continuity, • Knowledge of applicable data privacy practices and laws

This role is being handled by Via, a secure hiring platform used by employers to review candidates. After applying, you will be invited to create your profile on the Via platform. Your profile stays anonymous until you match. AI Engineer • £70,000 – £130,000, • Central London (Hybrid – 2–3 days in office) If you’re excited by solving complex problems, working with cutting-edge tooling, and seeing your work deployed at scale, this is the kind of role that will accelerate your career fast. The Opportunity You’ll play a key role in designing and deploying sophisticated AI systems used in real-world environments. This is not a research-only role – you’ll be building, shipping, and continuously improving production applications that deliver tangible impact. You’ll work alongside highly capable engineers in a collaborative, fast-moving environment where experimentation, iteration, and innovation are actively encouraged. What You’ll Be Doing • Designing and building production-grade AI systems using LLMs, • Developing RAG pipelines, vector search solutions, and agent-based workflows, • Creating robust evaluation frameworks to measure accuracy, reliability, and performance, • Building scalable APIs, services, and data pipelines, • Implementing observability, monitoring, and feedback loops to continuously improve outputs, • Optimising models and prompts for latency, cost, and quality across different providersWhat We’re Looking For, • Experience building applications using LLM APIs, with a strong understanding of their strengths and limitations, • Hands-on experience with RAG architectures, vector databases, and prompt engineering, • Experience developing multi-step workflows or agentic systems (frameworks or custom builds), • Strong programming skills (Python or similar), with experience building production systems, • Solid understanding of cloud environments (AWS, GCP, or Azure), • Experience with distributed systems, CI/CD, testing, and deployment pipelines, • Strong data handling skills (SQL, pandas) and an understanding of evaluation strategies for AI systems, • Comfortable working in ambiguous environments and iterating on non-deterministic systemsBonus Experience (Nice to Have), • AI-assisted development tools (e.g. Copilot, Codex, Claude Code), • Fine-tuning models and understanding when to use it vs RAG or prompting, • Experience with real-time systems, multimodal AI, or search technologies, • Familiarity with observability tooling and cost optimisation strategies, • Experience in regulated or complex industries (e.g. finance, healthcare, energy), • Exposure to agent orchestration, tool usage, and guardrailsWhat’s On Offer, • Highly competitive salary and bonus, • The chance to work on genuinely cutting-edge AI problems, • A collaborative, high-performance engineering culture, • Strong financial backing and ambitious growth plans, • Clear progression opportunities as the company scales, • Personal learning budget to accelerate your development Register your details on Via to progress your application. Create one profile and be matched to this role and other relevant opportunities, including roles advertised exclusively on Via.

User Researcher Fully remote Inside IR35, £560 P/D 3-6 months BPSS We're working with a public sector client seeking an experienced User Researcher to support the delivery of user-centred digital services. Responsibilities: • Plan and deliver qualitative and quantitative user research across the service lifecycle, • Translate user needs into clear insights to inform design and product decisions, • Work closely with service designers, product managers and delivery teams, • Engage with a range of stakeholders and present research findings clearly, • Proven experience as a User Researcher in the public sector or similarly complex environments, • Strong hands-on experience with user-centred design and research methods, • Confidence working in multidisciplinary teams and agile delivery settings

Research / Product Development Scientist: Nanotechnology (London Biotech Start-up) I am currently working exclusively with a London based biotech who have developed advanced instrumentation to analyse nanoparticles at the single particle level. With their platform already being used across leading academic and industry labs in Europe and North America, supporting work in areas like drug delivery and nano-formulations, and emerging therapeutic approaches. As adoption grows, my client is looking for a scientist who can bridge research, product development, and real-world application. The Role: This is not a pure lab role. You’ll develop deep expertise in the technology, then apply it working across R&D, product development, and external collaborations. You’ll help shape how the technology is used, improve how it performs, and support users in getting meaningful results. You’ll be working closely with engineers, applications specialists, and external partners so the ability to translate complex science into practical use matters just as much as technical depth. What You’ll Be Doing • Developing expertise in single particle nanoparticle analysis, • Supporting product development and improving how the technology is used, • Creating and refining SOPs for new and existing applications, • Collaborating with engineering and applications teams to improve user experience, • Managing and contributing to external research collaborations, • Presenting work through meetings, seminars, and technical discussions What They’re Looking For • MSc or PhD in Physics, Chemistry, Materials Science, Bioengineering, or similar, • Experience in nanoparticle or nanoformulation characterisation and/or spectroscopy (Raman, IR or related techniques), • Strong problem solving mindset and technical curiosity, • Ability to work across disciplines (science + engineering + users), • Clear communicator able to explain complex concepts simply Nice to Have (Not Essential) • Experience with LNPs, exosomes, extracellular vesicles, or viral vectors, • Experience in nanoformulation or nanoparticle manufacturing, • Broader experience with spectroscopy, microscopy, or analytical techniques Environment • London based biotech start up (lab + office), • Highly collaborative, cross functional team, • Mix of research, product development, and user interaction, • Opportunity to directly influence how a new technology is adopted Additional Info • 4 days per week on site (London), • Right to work in the UK required, • Equal opportunity employer

Overview At Tembo, we’re building the UK’s leading consumer mortgage platform. Backed by world-class investors including Aviva Ventures, Goodwater Capital, and Gresham House, we’re on a mission to redefine the mortgage category and power home ownership at scale. Home ownership is increasingly out of reach for many. We exist to change that - helping hundreds of thousands of buyers unlock the path to owning a home. Through innovative mortgage solutions, affordability schemes, and smart savings tools like our Lifetime ISA and Cash ISA, we give people the support they need to take their first step onto the property ladder. 2026 is a defining year for Tembo. Our focus is not just on growing the proposition further, but on scaling the engine behind it. That means making our team of 100+ advisers and operational colleagues dramatically more efficient through better products, better workflows, stronger automation, and smart application of AI. This role sits at the centre of that challenge. You’ll work across both our customer-facing mortgage experience and the internal tools, workflows and automations that power the business behind the scenes. You’ll be expected to deliver measurable impact against the metrics that matter most, especially automation performance and mortgages per adviser. AI will be a major part of that story. Tembo is not building foundation models, and we are not trying to be an AI startup. But we are investing heavily in how AI can be applied to the mortgage problem, and we expect to be at the leading edge of how AI is used in a consumer-facing mortgage business. This person will play a major role in identifying where AI can create real value and then turning those opportunities into shipped product. What you’ll do • Product development across our mortgage journey, spanning both customer-facing experiences and internal tools, • Build products, workflows and automations that help advisers and operational teams work faster, better and with less manual effort, • Identify high-impact opportunities to apply AI across the mortgage journey, both for customers and internal teams, • Work closely with advisers, operations, engineering, design, data, compliance and leadership to solve meaningful business problems, • Go deep into customer needs, operational bottlenecks and team workflows, and turn those insights into practical product improvements, • Own initiatives end to end, from research and hypothesis through to design, execution, testing, launch and iteration, • Drive measurable improvements in efficiency, automation and mortgages per adviser How we work Tembo’s culture is highly hands-on. Senior colleagues are expected to own both strategy and execution. This is not a role for someone who wants to spend weeks in roadmap tools or operate at a distance from delivery. It’s a role for someone who wants to get close to the problem, research it properly, form strong hypotheses, design smart solutions, and then execute, test, ship and measure their work. You should be just as comfortable thinking strategically as you are getting into the detail. At Tembo, it matters just as much that you can investigate, shape and design the right solution as it does that you can get it live and prove its impact. What we’re looking for • Strong product management experience, ideally in mortgages, fintech, banking, or another complex operational environment, • A track record of shipping meaningful product improvements and delivering measurable outcomes, • Experience working across both customer-facing products and internal tools or workflow systems, • Strong analytical and commercial judgement, with a clear focus on impact, • Excellent collaboration skills and the ability to work effectively across multiple functions, • Strong instinct for where AI can create genuine value in a real operating business, • A highly hands-on approach, with comfort moving between strategy, discovery, design and execution, • Someone who is motivated by solving hard problems, improving systems, and moving the metrics that matter Why this role is special Tembo’s product team is very lean. That makes this an exceptionally rare opportunity to join a co-founder-led product team and have outsized impact. You won’t be a small cog in a large product organisation. You’ll be close to the most important problems in the business, close to decision-making, and close to execution. You’ll have the chance to shape not just the customer proposition, but the internal engine that powers it. If you want to build at the frontier of consumer mortgages, and do it in a team that values speed, depth, ownership and execution, we’d love to hear from you. Benefits • Hybrid working, London based, • Private health insurance, • Enhanced parental benefits, • Birthday day off, • Annual international team offsite (Mallorca this year), • Competitive salary and equity Our Values Find a way We innovate relentlessly to help customers get onto the property ladder. It’s all about the people Customers, colleagues, and partners are at the heart of everything we do. If you don’t like it, change it We move quickly, listen to feedback, and evolve constantly.

Also advertised as Product Engineer About the Company At Alecto, we're on a mission to fix one of the UK's most broken consumer experiences: conveyancing - the legal process behind every property transaction. Today it’s slow, opaque, and failing. One in three property transactions fall through, complaints run 3.3x higher than any other legal sector. Many firms still rely on post and fax. We're building the UK's first AI-native law firm to change that. Backed by Firstminute Capital and a strong group of angel investors, we’re led by a founder who built and scaled Gen H, a fintech mortgage lender, to £1bn in annual lending and £5bn in financing. That hands-on experience in regulated financial services gives us a clear path to disrupt a fragmented £2.5 billion market. Conveyancing is our starting point. Our ambition is a full-service, AI-first law firm with global reach. About the Role We're looking for a Staff or Senior Product Engineers to join as an early member of our engineering team. We're a small team of generalists with deep experience in startups and who care about craft. We move fast, ship often, and hold ourselves to a high bar. From day one, you’ll help shape the product’s direction and ship features to production within your first week. Requirements will be fuzzy - you’ll talk to users, form hypotheses, and iterate quickly to define what to build. Responsibilities • Have worked at early-stage startups and driven product direction, • Think in terms of user problems, not just technical solutions, • Have scaled TypeScript projects, • Enjoy refining and customising your AI workflow into the early hours, • Building AI agents or LLM-powered systems that go beyond simple prompting, • Thrive in autonomy and owning your own work & projects, • Are genuinely excited by building products from the ground up Qualifications Bonus points for academic or applied experience in machine learning, especially if you can bridge the gap between research and production. Required Skills • Relentless about self-improvement and hold yourself to incredibly high standards, • See problems as solvable and find opportunity in challenges, • Energise the people around you in the process, • Own outcomes, fixing problems rather than waiting for someone else to, • Want to be measured on your impact, • Low ego and self-critical, open to feedback, • Give honest feedback directly and kindly Preferred Skills • A TypeScript monorepo, React, tRPC and Tailwind, • Inngest for background jobs and event-driven workflows, • Deployed on Google Cloud Platform with Postgres Pay range and compensation package • £100,000 - £150,000 depending on experience, • Meaningful early-stage equity - you'll be an owner, not just an employee, • 5% employer pension contributions, • Comprehensive private medical cover including dental and optical, • 25 days holiday plus bank holidays, • Your choice in AI tooling Equal Opportunity Statement Please let us know if there are any reasonable adjustments we can make to ensure you have the best experience interviewing with us! Hiring Process • Introductory Call (25 minutes), • Technical Test (2-3 hours), • Values Interview (1 hour)

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. Our Mission At Humanoid we strive to create the world’s leading, commercially scalable, safe, and advanced humanoid robots that seamlessly integrate into daily life and amplify human capacity. What You'll Do: • Train policies via representation learning, behaviour cloning and RL; own the full loop from data to deployment., • Partner with teleoperations to drive data collection: specify what “good” looks like, ensure diversity/coverage, and close the gap between sim and real., • Run pre-/mid-/post-training on multimodal LLM/VLM/VLA stacks; plug in new modalities (vision, audio, proprioception, LiDAR/point clouds, …) without breaking existing ones., • Build and maintain continuous pipelines: ingest simulation + tele‑op logs, version them, apply weak‑supervision labelling, curate balanced datasets, and auto‑surface fresh failure cases into retraining., • Work with MLOps & Data Platform teams to scale distributed training and optimize models for real‑time edge inference. We’re Looking For: • 3+ years building deep‑learning systems (industry or research) with shipped models or published artifacts to show for it., • Hands‑on with at least one of: LLMs, VLMs, or image/video generative models — architecture, training, and inference., • Experience with deep learning infrastructure: streaming datasets, checkpointing & state management, distributed training strategies., • Strong Python + PyTorch/JAX; you can profile, debug numerics, and write maintainable research code., • You document experiments clearly and communicate trade‑offs crisply. Nice-to-Have: • Robotics or autonomous driving experience., • RL for LLMs or robotics (PPO, DPO, SAC, etc.)., • Proven productization of deep nets (latency/throughput constraints, telemetry, on‑device optimization)., • Publications at ICLR/ICML/NeurIPS or equivalent open‑source contributions., • Familiarity with OpenVLA, Physical Intelligence (π) models, or similar open VLA frameworks. What We Offer: • Meaningful time off to rest and recharge: 23 days of annual leave (accrued), 15 days of paid sick leave, and paid company holidays., • Fully funded private healthcare for UK employees, with broad provider access, virtual and in‑person care, and strong mental health and serious illness support., • Equity included–we believe builders should share in what they build., • Pension scheme with a total 8% contribution (5% employee, 3% employer) on full earnings., • Free daily breakfast, catered lunch, and snacks in‑office., • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics., • Freedom to influence the product and own key initiatives.

Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Hands-on experience with co-folding and structure-based models., • Deep knowledge of federated learning and the nuances of privacy risk in distributed environments., • You build experiments to prove (or disprove) privacy claims using quantitative and qualitative data., • You own the "messy" problems and can explain the why behind technical risks to non-technical leaders., • A strong publication record in ML or Computational Biology., • Experience working within industry consortia or complex partnerships., • Past success influencing industry standards or regulatory privacy positions. Remuneration for the Principal Machine Learning Researcher (Privacy/Risk) | | Series A - Drug discovery Platform | Fully Remote, EU/UK | Base Salary Up to £160,000K, plus early equity+benefits • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

The Role You'll join the Pharosyn team as an early hire — shaping the product from the ground up. No programming or engineering experience required. • Product Roadmap: Directly shape what we build, in what order, and why — acting as the internal voice for life science users., • AI Engineering: Work closely with our engineering team to iterate on agentic AI system design and prompt engineering for life science research and reporting tasks including competitive landscaping of clinical trials, regulatory approvals and patent publications., • Benchmarking: Design evaluation processes to measure AI system performance against pharma enterprise requirements and expectations., • Strategic Partnership: Act as the bridge between top pharma companies and our engineering team, translating domain expertise into product decisions. You Must Have • Experience in life science commercial strategy, competitive intelligence, due diligence, equity research, or investment analysis (consulting, VC, or PE backgrounds all welcome), • Life sciences degree (undergraduate minimum) Preferred • 2+ years at pharma CI/strategy firms, VC, PE, or equity research experience covering pharma/biotech, • Hands-on experience using or building AI tools What We Offer • £70–100k salary depending on experience, • Meaningful founding equity, • Direct influence on product strategy and company direction, • Work alongside the CEO and CTO at a startup with paying enterprise customers

Humanoid is the first AI and robotics company in the UK, creating the world’s most advanced, reliable, commercially scalable, and safe humanoid robots. Our first humanoid robot HMND 01 is a next-gen labour automation unit, providing highly efficient services across various use cases, starting with industrial applications. We are looking for the Senior Perception Engineer - Spatial Understanding & Navigation to join our team based in London, UK. What You'll Do • Develop next-generation spatial understanding systems for robot locomotion and manipulation, integrating perception and high-level reasoning., • Work on open-ended navigation powered by Vision-Language-Action (VLA) models — enabling robots to understand context, predict intent, and act in complex, dynamic environments., • Design and scale auto-labeling and large-scale data pipelines to train and evaluate multimodal models for navigation and interaction., • Develop and implement scene understanding and 3D reconstruction methods that give robots persistent spatial memory and geometric awareness., • Collaborate with cross-functional research and engineering teams to bring large vision-language models into real-world robotic systems., • Stay ahead of the field — rapidly evaluate new model architectures, benchmarks, and datasets to guide our embodied AI roadmap What We're Looking For • Deep experience in machine learning for vision or embodied AI, ideally with large models (VLMs, VLAs, transformers, diffusion, or multi-modal architectures)., • Strong background in scene understanding, spatial reasoning, or 3D reconstruction from visual data., • Proficiency in PyTorch and hands-on experience building, fine-tuning, and deploying large-scale ML systems., • Strong experimental and research skills — capable of taking projects from concept to model training, evaluation, and robot integration., • Comfortable working in a fast-moving, research-driven environment with evolving models, data, and tools. What We Offer • Competitive salary plus participation in our Employee Stock Option Plan, • Paid vacation with adjustments based on your location to comply with local labor laws, • Travel opportunities to our Vancouver and Boston offices, • Private Health Insurance, • Office perks: free hot breakfasts, lunches, snacks, and regular team events, • Freedom to influence the product and own key initiatives, • Collaboration with top‑tier engineers, researchers, and product experts in AI and robotics, • Startup culture prioritising speed, transparency, and minimal bureaucracy

Systems Engineer Heathrow/Manchester About the Role We are seeking a Systems Engineer to join a fast-paced, high-performing environment within the aviation technology sector. This is a dynamic, hands-on role suited to someone with a proactive, solutions-driven mindset and strong technical expertise. You will play a key role in designing, delivering, and supporting innovative systems that enhance the safety, efficiency, and security of airport operations. Working closely with cross-functional teams including engineering leadership, architects, and developers, you will contribute to cutting-edge solutions at the forefront of aviation technology. This role offers the opportunity to collaborate with experienced professionals, contribute to impactful global projects and grow within a culture that values continuous improvement and innovation. Key Responsibilities • Collaborate with stakeholders to define solution requirements and technical specifications, • Install, configure, and test operating systems, application software, and system tools on-site, • Support system design, development, and deployment in partnership with Solution Architects, • Monitor system performance, troubleshoot issues, and work with developers to implement fixes, • Manage product requirements, prevent scope creep, and support change control processes, • Produce technical documentation, operational guides, and training materials in line with QA standards, • Research and evaluate new technologies to improve system performance and reliability, • Contribute to continuous improvement initiatives and development of best practices, • Work across multiple projects simultaneously in diverse global environments, • Support pre-sales and future business opportunities where required Requirements • Degree in Engineering or a related technical field (e.g. IT, Computer Systems, Systems Engineering), • Experience in systems development or integration projects, ideally within real-time or mission-critical environments, • Hands-on experience with Windows and UNIX/Linux environments, • Experience with virtualisation tools (VMWare, Hyper-V), • Experience installing and configuring Linux on Hyper-V, • Strong networking knowledge (OSI model, TCP/IP, switches, firewalls, routers), • Understanding of software development and project management methodologies, • Strong analytical and problem-solving skills with attention to detail, • Excellent communication, organisational, and time management skills Additional Information • Hybrid position - 2/3 days on-site, • Ability to travel across different sites including: London Heathrow, Manchester, Farnborough (expenses covered), • Travel primarily within the UK, with occasional international travel (Europe) If interested, then please apply today!

The moment Consulting is being agentified. The $300B insights industry is about to be rebuilt by AI agents that don't just report what happened — they tell brands what to do next and execute it. Most firms are still figuring out how to use ChatGPT for email. We've already built the agents. Hotspex has spent 25 years measuring what the world's biggest brands make people feel — over 1M interviews, 800+ brands, 33 countries, validated at P&G, Coca-Cola, Unilever, RBC, TELUS. Now we're weaponizing that dataset with AI. Every methodology we've built is becoming an autonomous agent. Every deliverable is becoming a living product. Every client interaction is becoming an intelligent system. This is the Agentification of Consulting — and we're riding the front of the wave. We need a Full Stack Engineer in Toronto who wants to build what comes next. What you'll build You won't be maintaining someone else's codebase. You'll ship enterprise-grade AI products to Fortune 100 CMOs — and you'll see your work in boardrooms within weeks, not quarters. → Agent-powered brand intelligence platforms — autonomous systems that ingest research data, generate strategic recommendations, and deliver them directly to the world's largest advertisers → Top of Model™ — our proprietary platform measuring how brands rank inside ChatGPT, Claude, Gemini, and Perplexity. We're defining an entirely new category of brand measurement for the AI era → BrandSpace — a self-serve SaaS platform putting 25 years of enterprise-grade emotional brand science into the hands of every marketer → MCP server integrations and agentic tool chains — exposing our Human Motivation Framework as API-accessible AI tools that plug into Claude, Adobe, and enterprise martech stacks → Client-facing interactive products — brand simulators, revenue growth models, and AI-powered proposal systems that win seven-figure engagements Who you are You're a builder, not a ticket-taker. You can go from a rough CEO brief on Monday to a shipped product by Friday. Specifically: • Full-stack fluency — React, Node, Python, modern deployment (Vercel/Netlify, Supabase, serverless). You own the whole surface from UI to infrastructure, • AI-native — you've built with Anthropic and OpenAI APIs, you understand tool use, embeddings, MCP, and agentic workflows. You don't just prompt — you architect systems around LLMs, • Claude Code proficiency is essential — we build with it daily and we'll want to see examples of what you've shipped with it, • Genuinely interested in marketing and brand strategy — you want to understand why a campaign moves a brand, not just render the dashboard. The best code at Hotspex is written by people who understand the business problem, • Product-minded — you think in user outcomes, not tickets. You push back on bad specs and propose better solutions, • High ownership, low ego — direct access to the CEO, the IP, and the clients means you'll have outsized impact and outsized accountability Why this role is rare 💰 Stock options — you'll have equity upside in a company that's been profitable for 25 years and is now scaling its AI product suite into a category-defining SaaS business 🏢 Toronto-based, on-site — we believe the best products get built by people in the same room solving hard problems together. Being in Toronto is key — this is a hands-on, high-trust, high-speed environment 🚀 Fortune 100 clients from day one — your code ships to RBC, global CPG, major broadcasters, and government. Not a pre-revenue pitch deck 🤖 AI isn't a feature — it's the entire product thesis — every tool, methodology, and deliverable at Hotspex is being agentified. You'll be at the centre of that transformation 📐 25 years of proprietary IP — you're not starting from zero. You're building on top of the Human Motivation Framework — 177 personality attributes, 96 emotions, 8 motivational zones — a dataset most AI startups would kill for 🎯 No four-layer product org — you'll work directly with the CEO, strategists, and clients. Your decisions ship Qualifications • Proficient in front-end development: HTML, CSS, and modern JavaScript frameworks (React preferred), • Skilled in back-end development: server-side languages, database management, API design, • Proven full-stack delivery — end-to-end ownership from architecture to deployment, • Strong experience with Claude Code — show us what you've built with it, • Familiarity with cloud platforms, DevOps tooling, and CI/CD pipelines, • Experience with agile workflows and Git-based version control, • Excellent problem-solving instincts with a bias toward performance and scalability, • Strong communication skills — you'll present to clients, not just commit to repos, • Bachelor's degree in Computer Science, Software Engineering, or related field preferred — but shipped work matters more than credentials How to apply Send a short note and your best work to — GitHub repos, shipped products, side projects, agent builds. If you've built something AI-powered that actually works in production, lead with that. We're 25 years old and moving faster than any startup. Come build the next chapter. • hotspex.com

The next wave of enterprise software won’t be dashboards or copilots. It will be Digital Workers, autonomous AI systems capable of executing complex workflows end-to-end. At causaLens, we are building the platform that enables enterprises to deploy these Digital Workers safely and at scale. Our Digital Worker Factory allows organizations to design, deploy, and manage AI agents that automate decision-making, analytics, and operational workflows across the enterprise. These systems are already being used by global companies including Johnson & Johnson, Syneos Health and Cisco to transform how work gets done. We are particularly focused on pharmaceutical and life sciences organizations, where AI is rapidly becoming the operating system for commercial analytics, forecasting, regulatory workflows, and medical intelligence. Backed by $50M+ in funding from Molten Ventures, Dorilton Capital, and IQ Capital, and supported by visionary investors including the CEO of Revolut, causaLens is scaling rapidly. Our team includes leading AI researchers, engineers, and scientists, almost 20% with PhDs. Here are 2 articles that define our culture: The Role We are hiring a Lead AI Engineer to help design and deploy enterprise-grade AI systems and Digital Workers. This role sits at the intersection of AI architecture, enterprise systems, and real-world problem solving. You will work directly with global organizations especially in pharma and life sciences to transform complex business workflows into reliable agentic systems running in production. This is a hands-on technical leadership role where you will: • design solution architectures, • break complex problems into deliverable systems, • guide engineering teams through implementation Requirements You will work at the intersection of cutting-edge AI and real enterprise decision-making, building systems that transform how large organisations operate. • Examples of systems we build include:, • AI Digital Workers that automate complex analytics workflows, • Agentic AI systems that orchestrate multi-step enterprise processes, • Decision intelligence platforms used by pharma companies for forecasting and commercial strategy, • Enterprise AI architectures integrating LLMs, knowledge systems, and structured data, • AI-driven automation of operational workflows across global organisations, • To deliver these systems, you will:, • Work directly with enterprise clients to understand complex operational and analytical workflows, • Translate ambiguous business challenges into clear technical designs, • Design scalable AI architectures and agentic systems combining LLMs, multi-agent systems, and knowledge retrieval, • Break projects into clear engineering tasks and delivery plans, • Guide engineers through implementation and technical decisions, • Lead the end-to-end delivery of AI solutions from architecture through deployment, • Collaborate with product and research teams to evolve the Digital Worker platform You will help build the next category of enterprise software. Instead of building dashboards or models, you’ll build AI systems that do the work itself. At causaLens you will: • Work on mission-critical AI systems used by global companies, • Help build the Digital Workforce of the future, • Partner with leading pharma and life sciences organizations, • Collaborate with an exceptionally strong, PhD-heavy team, • Operate in a fast-moving startup environment We expect team members to work from the office at least three days per week. Benefits We care about our people’s lives, both inside and outside of causaLens. Beyond the core benefits like competitive remuneration and a great work-life balance, we offer the following: • 25 days of paid holiday, plus bank holidays, • carry over/sell holiday options (up to 5 days), • Share options, • Pension scheme, • Core life cover for all employees, equivalent to 4x your annual basic salary, • Happy hours and team outings, • Referral bonus program, • Cycle to work scheme, • Friendly tech purchases, • Benefits to choose from, including Health/Dental Insurance, • Special Discounts, • Learning and development budget, • Work abroad days, • Office snacks and drinks Logistics • Screening conversation with the hiring manager, • Day 0 — a 3-hour online technical challenge, • In person presentation and interviews with the team Have questions? We encourage open dialogue, reach out anytime. If you require accommodations during the application process or in your role at causaLens, please contact us at

Hive Science is a tech start-up whose technologies are in use by many of the world’s largest brands including Land Rover, Edward Jones & Kroger. The Hive platform is delivering novel intelligence at the intersection of quantitative social psychology, behavioral science & AI/ML to accelerate & transform how work is done. We’re looking for someone to join our team and get on board this rocket ship with us. About the role: This is an exciting opportunity to be part of a psychological science-based tech startup. This role will join our product team and will be responsible for evolving Hive’s next generations of products. This Senior AI Scientist will roll up their sleeves and help us continually evolve the core foundation of our platform, enabling exponential delivery speed and scale, as well as new generative and other AI technologies. We’re looking for someone who can bring a strong AI know-how, and who can work closely with social science data to support product development & launch. Important Details ● Location: This is a hybrid role requiring 3 days/week in London. Candidates must currently reside within commuting distance of London. ● Employment Type: Full-time ● Work Authorization: Candidates must have an existing right to work in the UK. Unfortunately, we're not able to offer visa sponsorship for this role. What You’ll Be Doing: As a Senior AI Scientist, you will be a core architect in building out new ways to develop and scale our unique platform intelligence. You’ll be part of a SWAT team located in London. You will build prototypes, move quickly, but be ready to scale and productionise once breakthroughs are made into our commercial product suite. You will constantly need to be at the cutting edge as we plug and play the latest AI capabilities into our core platform. We can’t define everything you will be doing because some of it is unknown based on the disruptive world we live in and you need to be the kind of person ready to pivot at speed and stay at the bleeding edge of this new world. Required Skills: ● A degree in Computer Science, Mathematics, Physics, or a related field. ● Proficiency in Python, SQL, Bash, and Git, with hands-on experience in tools like Jupyter notebooks, Pandas, PyTorch, and more. ● 3–5+ years of experience in data science or applied ML / DL, ideally within product development. ● Deep expertise in ML/DL techniques including transformers, embeddings, CNNs, RNNs, GANs, BERT/GPT, RL, GNNs, GraphAI and causal inference. ● Solid understanding of a range of predictive modeling approaches and outputs ● Hands-on experience with generative AI, LLMs, simulation models, knowledge graphs, and multi-modal data fusion. ● Hands-on experience with building GPTs / Agents and agentic workflows. ● Strong engineering / ML engineering instincts / hands-on experience of deploying models to production environments—you’re comfortable pushing to prod, not just notebooks. ● Experience with cloud platforms (AWS, Databricks, Snowflake), containerisation tools (Docker, Kubernetes), and CI/CD pipelines. You can set up APIs, write robust code, and debug pipelines. ● Experience with cloud-native ML workflows, including AWS Sagemaker, Lambda, ECS, and containerisation with Docker. ● Familiarity with frontend collaboration—how your model outputs can drive dynamic UIs, content personalization, or editor tools. ● Comfort in “hacking” prototypes while planning toward scalable solutions. ● Passion for elegant code and reproducible research. Overall Work Experience & Additional Details: You may have come from a research lab or from a startup where you wore every hat. You are fluent in both theory and implementation, and you get a thrill out of connecting ML / DL research to real-world product needs. As a fast-paced startup, each day is different from the one before. We’re nimble and creative, and value intellectual humility. We work really hard because we’re all 100% dedicated to the future we’re building. Our work is stimulating, challenging, and exciting. And our team is awesome. At Hive we only hire exceptional people, so you’ll be in good company -- surrounded by passionate, insanely smart people who want to build the future of customer & marketing intelligence. Specifically we’re looking for someone who will thrive in this type of environment: ● Fast-paced startup with competing demands and multiple priorities ongoing ● A ‘solve the problem’ mentality ● Scrappy and creative ● Strong passion for the Hive Science mission and a love of the scientific method

You'll be the first employee for the UK subsidiary of a leading sodium-ion battery company headquartered in China, specialising in the research, development, and manufacturing of cathode materials, battery cells, packs, and systems. Key applications include light e-mobility, energy storage systems, industrial and UPS. Role Purpose As the company continues to scale globally, we are seeking a Battery Application Engineer to ensure our products meet customer requirements, integrate seamlessly into their systems, and deliver reliable performance in real-world applications. Key Responsibilities • Serve as the primary technical interface for clients and partners across the UK and Europe, providing both pre- and post-sales application support., • Bachelor’s degree (or higher) in Electrical/Electronic Engineering, Chemical Engineering, Mechatronics, or related field., • Experience in battery application engineering, systems integration, or test/validation for battery systems., • Strong grasp of battery fundamentals (cell chemistries, pack architecture, thermal management, ageing mechanisms) and power electronics interfaces., • Hands-on with BMS configuration and diagnostics; familiarity with SOC/SOH algorithms and protection strategies., • Proficient with communication protocols and tools (CANalyzer/CANoe, Vector tools, serial/RS-485 analysers)., • Opportunity to shape real-world applications of next-generation sodium-ion technology., • Fast-growing, cross-border environment with clear impact on product and strategy., • Competitive compensation, performance bonus, and professional development.

If you’re bored of “AI” that’s just a chatbox on top of GPT, this is for you. This could be your chance to work on a platform used by PE funds, insurers, and other high‑stakes teams to actually automate work on millions of documents – real workflows, not cool demos that die in slide decks. We’re looking for an AI Solutions Engineer who loves three things: • Writing python, • Untangling messy business problems, • Getting stuff into production. You’ll sit in the thick of it – pre‑sales, build, and post‑sales expansion – alongside sales, product and founders. What you’ll actually do • Jump into late‑stage deals and help figure out “what are we really solving here?”, • Design and build multi‑step, deterministic agents with humans in the loop where it matters, • Wire everything up: APIs, CRMs, spreadsheets, inboxes – whatever the customer actually uses, • Write Python to do the glue work: transforming schemas, running proprietary models, stitching weird edge cases together, • Keep 8–10 projects moving at once, making smart trade‑offs, not perfect architecture diagrams Some flavour of projects • A PE fund that gets ~300 pitch decks/reports a week – the team you would be joining helped them auto‑extract the numbers, run their LBO models in Python, and ship a partner‑ready deck every week, • Underwriting workflows that need full audit trails back to the original docs, • Real estate teams who want to ask a question about thousands of leases and get an answer – with citations – in seconds You might be a fit if • You write solid Python and actually enjoy debugging ugly real‑world data and integrations, • JSON, APIs and webhooks are just part of how you think about systems, • You’ve built data/ML/automation workflows before and can roughly sketch how they fit together This is not for you if • You want a pure research role or just to fine‑tune models all day, • You hate talking to customers, or need a fully scripted playbook What you get • A front‑row seat in one of the more interesting corners of applied AI, • A tight Solutions Engineering team in London that actually likes being in the office together, • A role where what you build is live, used, and directly tied to revenue and renewal FAQ's Salary: £80 000 - £110 000 + Equity + Bonus Office: In Soho Days in the office: 3 days week (most of the team do 4 as they like working together) If this sounds like you and you want to know more, send an email to with “Solutionize Is Not A Word” in the subject line. Include a CV if you have one ready, otherwise a LinkedIn profile and 3-4 lines in your own words as to why this role sounds interesting. All applications received as above will be reviewed by a human (me) and will get feedback. LinkedIn applications may not all be reviewed due to volume and lack of relevance.

About Us and the Problem We're building the best search for AI. Search is becoming the core primitive for AI, every agent workflow, every reasoning system, every tool call needs context from the web and beyond. Agents are rapidly becoming the dominant users of web information, but today's search infrastructure was built for a different era. We're building the stack that makes the web accessible to how agents actually work: content at scale, structured for reasoning, designed for deep research across thousands of sources. But search infrastructure is only as useful as the solutions built on top of it. Each operates in a different domain with different workflows, different users, different definitions of what "good" looks like. Someone needs to understand those worlds, design the right experience, and build it. That's this role. We're a small team out of UCL's CS department that loves building things. We want someone who can think like a designer and ship like an engineer and who's excited about figuring out how AI search actually gets used in the real world. What You'll Be Doing • Client Solutions: Work directly with clients to understand their domain, users, and problems. Design and build production applications on top of Valyu's search and deep research APIs., • Product & UX Design: Conceptualise workflows, user experiences, and interfaces for knowledge-intensive domains. You own the full arc from concept to working product., • Production Code: Build what you design. Frontend, integration layers, workflow orchestration, whatever the solution needs. This is not a mockup-and-handoff role., • Domain Fluency: Get smart fast in unfamiliar industries. One week it's biotech patent search, the next it's financial research tooling. You'll develop enough depth to ask the right questions and design credible solutions., • AI-Native Building: Design and build AI-powered features and agentic workflows. Use AI tools as core parts of your own process: coding, research, prototyping, all of it. Who You Are Targeted at recent graduates and early-career builders who sit at the intersection of design and engineering. • You have genuine design taste and visual sensibility. You've always cared about how things look and feel. Maybe you took Art or Graphics at GCSE, maybe you've been designing on the side forever. Either way, aesthetics aren't an afterthought for you., • You write real code and ship real projects. Our stack is Next.js, TypeScript, Python, Supabase, and Vercel, running on AWS and GCP, but we care more about what you've built than which frameworks you know., • AI tools are already part of how you work. You use them to build faster and think better, and you're comfortable designing AI-powered applications: agentic workflows, LLM integrations and RAG applications., • You learn fast. You can walk into patent law or drug discovery and within days be designing useful things., • You communicate clearly. You'll be in rooms with clients, explaining your thinking, presenting designs, understanding requirements., • Be Cracked. Bonus Points • A portfolio or collection of side projects that shows both design taste and technical chops., • Experience with any of: Next.js, TypeScript, Python, Supabase, Vercel, AWS, or GCP., • Familiarity with search systems, information retrieval, or knowledge management., • Experience working directly with users or clients in any capacity., • Contributions to open-source projects. Why Join You'll work on genuinely hard problems at the intersection of AI, search, and product design. You'll have direct impact on how major organisations use AI for knowledge work. Every client is a new domain to crack. The team is small, technical, and moves fast. If you want to design and build the solutions layer for AI search, reach out:

Software Engineer London / Hybrid | Perm Role £60,000 - £80,000 Harrington Starr has partnered with a fast-growing fintech that’s transforming how businesses manage foreign exchange and treasury operations. Their technology enables clients to access institutional-grade execution, automate manual workflows, and gain greater transparency across their financial processes. Handling billions in transactions each year, they continue to expand their product offering and deliver cutting-edge solutions that help clients manage risk more effectively. The Role This is an excellent opportunity for an experienced Software Engineer — ideally with a background in financial technology or FX — to join a high-performing engineering team within a scaling fintech. You’ll be instrumental in developing and enhancing the company’s core trading and treasury systems, building new features, improving performance, and driving integration across their technology stack. Key Responsibilities • Develop and maintain software across the full stack, • Contribute to architecture and design decisions, • Support, optimise, and maintain production code, • Research and integrate new technologies, • Foster a culture of engineering excellence and continuous improvement Key Requirements • 5+ years’ experience working with C#/.NET, • Experience developing front and middle office systems, • Strong SQL skills, • Experience with cloud-native solutions (Azure or AWS), • Knowledge of event-driven, microservices architectures, • Full SDLC experience — from design through delivery and support Key Benefits • Join a fast-scaling fintech building next-generation financial technology, • Work on complex, high-impact systems handling large-scale transactions, • Collaborative, innovative, and growth-oriented team culture, • Hybrid working model with flexibility and autonomy Please apply via the link provided or reach out to me directly to book in a confidential phone call -

💼 𝐑𝐨𝐥𝐞 - Research ML Engineer 📌 𝐋𝐨𝐜𝐚𝐭𝐢𝐨𝐧 - London, 2 days per week 💸 𝐒𝐚𝐥𝐚𝐫𝐲 - up to £160K plus equity 🏢 𝐃𝐨𝐦𝐚𝐢𝐧 - Developer Tooling I'm working with a start-up who are building fully autonomous coding agents, their product can understand systems context and, with minimal human input, write code. They are in the process of raising their Series A and are a team of 20 with experience from companies like; Google DeepMind, Spotify, Sourcegraph & Meta. What We Are Looking For • 5+ years of industry or academic experience as a Machine Learning Engineer, Applied Scientist, or Research Scientist., • Search & Retrieval: Deep experience designing and scaling state-of-the-art systems (e.g., multi-stage retrieval, dense retrieval, novel indexing)., • Reinforcement Learning & Reasoning: Deep expertise in applying RL to complex tasks, agent-based modeling, or automated planning.

Role Outline Engineered Arts is looking for a Senior QA Engineer to join the software team. You’ll be challenged with developing and supporting our deployment and testing processes for all the robots. The focus will be on improving and maintaining the high quality of our uniquely amazing humanoid robots through designing and implementing tests, debugging, and QA metrics. Hardware is at the centre of everything we do and this role will involve the support of hardware monitoring and issue detection as we design, manufacture, commission, and test every robot we sell. This role can be based from either or London office or Falmouth HQ (4 days per week in office) Main Responsibilities Manual & Automated Test Coverage • Apply and promote testing standards and best practices, supporting the onboarding and development of other engineers by sharing knowledge and coaching on tools and processes Qualifications, Knowledge, Key Skills and Experience Essential • 4+ years of experience in testing and quality., • Strong proficiency in using AI tools to accelerate test creation, automation, and data analysis., • Extensive experience writing useful and efficient automated tests, specifically using frameworks like Playwright and pytest., • Experience in a robotics or hardware-centric setting., • Working with Python and Ubuntu or other Linux-based operating systems., • Experience working with git, GitLab and CI/CD pipelines to maintain code quality and effective release management., • Experience testing and evaluating LLMs, including interest in conversational experiences driven by robots., • Experience in testing web UIs., • Experience in testing agentic AI solutions, • Experience building or maintaining QA telemetry dashboards., • Understanding of low-level / embedded systems., • Experience with continuous deployment in cloud systems (particularly Terraform)., • Experience with testing distributed systems relying on third-party services., • Agile methodologies About Engineered Arts Engineered Arts is the leading manufacturer of full-size humanoid robots used for entertainment, education and communication. With 20 years of hardware and software development, our robots have been sold in over 30 countries worldwide with customers such as NASA, PwC, Meta and many more. Our Ameca robot is well known as ‘the face of AI’ and a social media viral success, taking advantage of the generative AI craze. Along with our ultra-realistic Mesmer range of animated figures our robots continue to surprise and excite visitors at museums, theme parks, visitor attractions and trade shows as well as aid leading universities with AI and robotics research. Our robots are poised to break into the future mega-expansion service robot segment, with applications such as front of house, receptions, check-in desks, information points and PoS. We are a team of dedicated engineers and creatives striving to develop the very best experiences for our customers. Our internal motto is ‘Be Wow’, everything we do is fun, entertaining or surprising to encounter. We always push the boundaries of what is possible in humanoid robotics, researching and developing new systems and techniques to further their appeal. We explore and challenge the human perception of robots as well as the fear and discomfort and the excitement and joy life-like mechanical humanoids present. At Engineered Arts, innovation is at the core of everything we do — and we believe true innovation only happens when diverse minds come together. We are committed to building a workplace where people of all backgrounds, identities, and perspectives feel welcome, supported, and empowered to contribute. Whether you’re an engineer, developer, or creative thinker, we value what makes you unique. We actively promote inclusion across our hiring, design, and development practices, and we’re always looking for new ways to reflect the world around us — in our team, our robots, and our ideas. Because building the future means including everyone in it.” We are committed to equal opportunity in employment and comply with all applicable non-discrimination and equal employment laws in the regions where we operate.

Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits The Client: A mission-driven technology company operating in the life sciences domain is seeking a Principal Scientist - hands-on with either ADMET or Structural Biology modelling, ML engineer to lead the technical direction for ADMET (Absorption, Distribution, Metabolism, Excretion, and Toxicity) modeling efforts within its drug discovery platform. The organisation enables collaborative model development across partner organisations while maintaining strict data privacy and ownership, using a federated data infrastructure. In this hands-on, high-impact role, you’ll work at the intersection of machine learning, computational chemistry, and applied research to advance foundational model applications in drug discovery. You'll be the technical authority on ML architecture, experimentation, and strategy, while focusing specifically on data security and privacy. You will also collaborateclosely with leadership and mentoring other engineers and researchers. While this is not a people management position, it offers significant influence over technical direction. Responsibilities for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • Lead the design and implementation of ML solutions for ADMET using cutting-edge techniques such as graph neural networks and transformers., • Lead the research and implimentation of data privacy within the models and establish privacy attack-surface assessment, • Develop and extend models for specific applications, including data distillation, benchmarking, and evaluation., • Define preprocessing and harmonization strategies for diverse assay datasets used in ADMET modeling., • Author or contribute to scientific publications or open-source software where appropriate. 3 Month Plan: • Develop a working understanding of the product, federated training setup, and key life-sciences modelling use cases., • Reproduce and extend at least one existing modelling pipeline to establish a baseline privacy and attack-surface assessment., • Contribute to privacy analysis for one or more active federated drug discovery programs as they transition from setup into live operation. Experience needed for the Principal Machine Learning Scientist | ADMET/Structural Biology | Series A - Drug discovery Platform | Fully Remote, EU | Base Salary Up to £160,000K, plus early equity+benefits • PhD computational chemistry or equivalent, • Drug discovery experience (5y+), • Hands on ADMET or Structural Biology modelling experience (broad scope), • Hands on experience building an ML based model on public and/or internal pharma datasets in the computational chemistry space., • Strong understanding of OpenFold, AlphaFold, Boltz and co-folding, • Confidence in building silico models, • Excellent communicator and connecting stakeholders excellent planning capabilities for experimental planning and execution, • Experience in working in consortium is a plus Remuneration for the Principal Machine Learning Scientist ADMET / Structural Biology • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the role, send us your CV and if we think you are a good match, we will give you a call!

About the Company Electronic circuit boards are at the core of current and future inventions - space travel, medical robotics, autonomous transportation, augmented reality, bio-engineering. Yet today designing an electronic circuit board is an extremely manual, long and tedious process. At Circuit Mind we believe that this is wrong and we are on a mission to fix it, triggering the future of hardware design. To achieve its mission, Circuit Mind has created a library of electronic component digital twins. Each digital twin models the data of the component’s datasheet. These digital twins are then utilised by Circuit Mind’s platform to generate circuit designs that align with user specifications. We are creating an entirely new software engine for circuit boards, that takes as inputs the requirements of a circuit board and automatically outputs a complete design, ready for manufacture. About the Role Your mission is to drive the successful delivery of customer electronics design projects using Circuit Mind’s ACE platform; either enabling end users to execute projects independently or taking full ownership of execution yourself. Responsibilities • Assess design requirements and leverage your expertise to guide the users in generating those designs in Circuit Mind’s ACE platform., • Lead and perform AI-assisted customer projects using Circuit Mind’s ACE platform to demonstrate faster, higher quality design outcomes than the traditional manual design process., • Run training and support meetings with users to ensure they effectively achieve their objectives using Circuit Mind’s ACE platform., • Research and identify new components that meet customer project requirements to be added to the Circuit Mind platform., • Collaborate with the customer success and software team to troubleshoot issues with designs run user issues, manage and execute the resolution of these issues and communicate the resolution to customers promptly., • Collaborate with the software and product team to identify key functionalities that can be developed to improve the value of ACE., • To fulfil the above, you’ll develop an intimate understanding of the abstractions and algorithms that ACE uses to generate circuit designs. Qualifications and Required Skills • 5+ years experience in designing electronic circuit boards, • Ability to understand user needs and challenges and to effectively devise and articulate tailored solutions, • Strong communication skills, • Strong attention to detail Preferred Skills • Basic software development experience, • Experience in a Software as a Service (SaaS), Design Software (ECAD, MCAD, Simulation etc.) or startup company Pay range and compensation package • Collaboration with a friendly world-class team., • Above market rate salary and meaningful equity., • 25 days of annual holidays plus bank holidays., • Flexible working hours with two days a week in the office., • 5 weeks per year to work wherever you want in the world., • London Bridge office., • Extended parental leave., • Annual Retreat., • Learning and development budget to support your professional development. Equal Opportunity Statement At Circuit Mind we value diversity and foster an inclusive environment. If you have an additional necessity or disability that requires accommodation, please let us know so we can adjust the interview process to your needs. We also ensure that Circuit Mind’s straight-forward and efficient hiring process respects your time.

Data Scientist – FinTech | London | £60–85k I’m working with a high‑growth FinTech in London that’s building out their data function to support smarter, data‑driven lending decisions. They’ve been scaling quickly and are now looking for someone to work closely with the C Suite to model and price loans in a more predictive, evidence‑based way. You’ll be joining a small but sharp team with a BI Analyst and a wider tech group (frontend, backend, and product). This is a rare chance to join a company with a blank slate for Data and be the person that shapes the strategy and research the models you think are best fit. What You'll Do • Take ownership of the data that underpins lending and pricing decisions., • Build and refine the underwriting scorecard, working out the right weightings and using expert judgement backed by data., • Develop predictive and analytical models to identify the leading indicators of default and credit performance., • Analyse historic customer data and uncover the signals that predict repayment behaviour., • Back test models, iterate, and automate model building over time., • Visualise and communicate insights clearly to the executive team. What They’re Looking For • Strong statistical and mathematical background, • Confident sourcing, cleaning, and manipulating data independently (Python, SQL, BigQuery)., • Excellent with Power BI or similar for dashboarding and storytelling., • Experience building predictive models from scratch, • Someone curious, analytical, and genuinely passionate about digging into data to solve business problems., • STEM degree

[Up to c. £225k Comp Package | Hybrid Working] Role Overview We’re representing a highly technical quantitative research and trading organisation operating at serious scale across compute, data and distributed systems. Security is treated as an engineering discipline - not a compliance function - and must integrate seamlessly into how platforms are designed, built and evolved. This role sits within an embedded security engineering function that works directly inside product and platform teams. Rather than producing reports or external recommendations, you’ll join delivery cycles, understand production code in depth, and implement robust, performance-aware security improvements directly into live systems. It’s a hands-on engineering role for someone who wants ownership, autonomy and real technical impact... Key Responsibilities • Integrate directly into product or infrastructure teams to address identified security weaknesses in production systems, • Rapidly gain context on unfamiliar architectures, services and codebases, • Design and implement durable security remediations that align with existing engineering standards, • Deliver production-quality code that preserves system performance and reliability, • Own security-related changes from investigation through deployment and validation, • Ensure fixes are thoroughly tested and safely introduced into critical systems, • Identify recurring vulnerability patterns and propose structural improvements, • Collaborate closely with senior engineers to debate design trade-offs and reach technically sound outcomes, • Contribute to improving long-term secure development practices within teams, • Act as a pragmatic voice on balancing risk reduction with delivery velocity What You’ll Bring… • 5-10 years’ experience in software engineering, security engineering or a closely related discipline within complex production environments, • Strong background writing and shipping high-quality production code (language-agnostic; depth more important than stack), • Demonstrable experience remediating security issues within existing systems - not just identifying them, • Deep understanding of application and infrastructure security concepts, including common design flaws and attack paths, • Ability to reason about trade-offs across security, performance, reliability and maintainability, • Proven ability to navigate large, unfamiliar systems and become effective quickly, • Experience operating in collaborative, engineering-led environments where decisions are shaped through technical discussion, • Clear and concise communication style with the confidence to defend design decisions through reasoning, • A pragmatic, outcome-focused mindset - focused on improving real systems rather than theoretical perfection ...

We are seeking a Machine Learning Engineer – Generative AI (3D & Real-Time Rendering) to join our onsite team in London. In this role, you will design, implement, and optimize advanced generative AI systems for real-time photorealistic rendering and 3D applications. You will work at the intersection of deep learning and computer graphics, collaborating closely with rendering and engine teams to integrate cutting-edge AI into production-grade pipelines. You will tackle challenging problems such as low-latency inference, controllable generation, and deploying generative models within real-time rendering systems. Minimum Qualifications Bachelor’s degree with 4+ years of relevant industry experience. • Strong expertise in deep learning, neural networks, and generative models (diffusion, GANs, transformers)., • Hands-on experience with modern ML frameworks (e.g., PyTorch, JAX, TensorFlow)., • Advanced programming skills in Python., • Solid understanding of model training, evaluation, and scaling., • Strong problem-solving, analytical, and communication skills., • Ability to work effectively in multidisciplinary, fast-paced, research-driven teams. Preferred Qualifications • Experience with 3D vision, neural rendering, or photorealistic rendering pipelines., • Familiarity with rendering engines (e.g., Unreal Engine, Unity) or custom 3D engines., • Experience with multimodal and foundation models (e.g., text-to-3D, video generation)., • Knowledge of NeRFs, Gaussian splatting, or neural scene representations., • Experience optimizing models for real-time inference (TensorRT, ONNX, quantization, distillation)., • GPU programming experience (CUDA, Triton, or similar)., • Track record of publications at top-tier venues (NeurIPS, CVPR, ICML, ICLR, SIGGRAPH, ECCV)., • Experience integrating ML models into production pipelines (e.g., graphics, AR/VR, simulation systems)., • Contributions to open-source projects or collaboration with research labs. Key Responsibilities • Develop and optimize state-of-the-art generative AI systems (diffusion, transformer-based models) for real-time photorealistic rendering and 3D applications., • Design pipelines for controllable, high-fidelity, low-latency generation within rendering systems., • Collaborate with graphics and rendering teams to integrate AI models into real-time engines and production pipelines., • Prototype, benchmark, and productionize algorithms for photorealistic 2D/3D content generation., • Advance techniques in neural rendering, scene generation, and AI-driven photorealism., • Improve model efficiency, scalability, and deployment performance., • Stay up to date with the latest research and rapidly experiment with emerging approaches., • Work cross-functionally to align technical solutions with product and business goals. What We Offer • The opportunity to work at the intersection of generative AI, 3D vision, and real-time photorealistic rendering., • A fast-moving, research-driven environment with real product impact., • A culture that values technical excellence, ownership, and creativity., • Very attractive salary If you are passionate about generative AI, real-time photorealistic rendering, and 3D systems, and want to help build the next generation of AI-driven graphics pipelines, we’d love to hear from you.

Staff Product Engineer - £150,000 + Equity Location: Shoreditch, London About the Opportunity A high-growth AI-first law firm is looking to transform the UK conveyancing market, starting with the legal process behind every property transaction. Currently, conveyancing is slow, opaque and unreliable, with one in three transactions falling through and complaints significantly higher than in other legal sectors. Many firms still rely on outdated manual processes. This business aims to disrupt a £2.5 billion market by combining deep domain expertise with cutting-edge AI technology, with ambitions to expand into a full-service, AI-powered law firm with global reach. The Role The firm is seeking a Staff Product Engineer to join as an early member of a small, high-calibre engineering team. This is a product-first role: from day one, the engineer will help shape product direction, speak directly with users, define ambiguous requirements and ship features to production quickly. The team values engineers who take ownership of outcomes and think beyond tickets. Candidate Profile • Experience in early-stage startups, influencing product strategy, • User-problem focused, not purely technical solution-oriented, • Experience scaling TypeScript codebases, • Comfortable building AI agents or LLM-powered systems beyond simple prompting, • High attention to detail and pride in engineering craft, • Academic or applied experience in machine learning, • Experience bridging research and production systems What’s on Offer • £150,000 depending on experience, • Meaningful early-stage equity, • 5% employer pension contribution, • Comprehensive private medical cover including dental and optical, • 25 days holiday plus bank holidays, • Choice of AI tooling

About the Company At Alecto, we're on a mission to fix one of the UK's most broken consumer experiences: conveyancing - the legal process behind every property transaction. Today it’s slow, opaque, and failing. One in three property transactions fall through, complaints run 3.3x higher than any other legal sector. Many firms still rely on post and fax. We're building the UK's first AI-native law firm to change that. Backed by Firstminute Capital and a strong group of angel investors, we’re led by a founder who built and scaled Gen H, a fintech mortgage lender, to £1bn in annual lending and £5bn in financing. That hands-on experience in regulated financial services gives us a clear path to disrupt a fragmented £2.5 billion market. Conveyancing is our starting point. Our ambition is a full-service, AI-first law firm with global reach. About the Role We're looking for a Staff or Senior Product Engineers to join as an early member of our engineering team. We're a small team of generalists with deep experience in startups and who care about craft. We move fast, ship often, and hold ourselves to a high bar. From day one, you’ll help shape the product’s direction and ship features to production within your first week. Requirements will be fuzzy - you’ll talk to users, form hypotheses, and iterate quickly to define what to build. Responsibilities • Have worked at early-stage startups and driven product direction, • Think in terms of user problems, not just technical solutions, • Have scaled TypeScript projects, • Enjoy refining and customising your AI workflow into the early hours, • Building AI agents or LLM-powered systems that go beyond simple prompting, • Thrive in autonomy and owning your own work & projects, • Are genuinely excited by building products from the ground up Qualifications Bonus points for academic or applied experience in machine learning, especially if you can bridge the gap between research and production. Required Skills • Relentless about self-improvement and hold yourself to incredibly high standards, • See problems as solvable and find opportunity in challenges, • Energise the people around you in the process, • Own outcomes, fixing problems rather than waiting for someone else to, • Want to be measured on your impact, • Low ego and self-critical, open to feedback, • Give honest feedback directly and kindly Preferred Skills • A TypeScript monorepo, React, tRPC and Tailwind, • Inngest for background jobs and event-driven workflows, • Deployed on Google Cloud Platform with Postgres Pay range and compensation package • £100,000 - £150,000 depending on experience, • Meaningful early-stage equity - you'll be an owner, not just an employee, • 5% employer pension contributions, • Comprehensive private medical cover including dental and optical, • 25 days holiday plus bank holidays, • Your choice in AI tooling Equal Opportunity Statement Please let us know if there are any reasonable adjustments we can make to ensure you have the best experience interviewing with us! Hiring Process • Introductory Call (25 minutes), • Technical Test (2-3 hours), • Values Interview (1 hour)

About Keyrock Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we rock with over 250 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Madrid, Brussels, New York and Paris, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks as well as asset and wealth management. Keyrock is looking to expand and establish itself as a full-service capital markets and asset & wealth management financial institution through both organic innovation and inorganic growth. But we’re more than a service provider. We’re an initiator. We have been pioneers in adopting the Rust Development language for our algorithmic trading systems, and champions of its use in the industry. We upgrade Web3 ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. Mission statement We are looking for a Head of Engineering / Engineering Lead with strong experience in systematic options trading to lead our Options Engineering team. In this role, you will be responsible for leading the Options Engineering team, driving continuous improvement across the trading infrastructure, and supporting the evolution of our systematic options trading platform. This includes areas such as automated quoting, execution, risk controls, pricing workflows, and production reliability. We are primarily looking for candidates based in UK, EU or US East Coast time zones . We are looking for someone who can: • Lead and grow an Options Engineering team of around 7 engineers, • Bring hands-on experience in systematic options trading , ideally including options market-making, automated quoting, execution, and risk management, • Own and evolve an existing Rust-native systematic options trading platform, • Provide strong technical direction across trading infrastructure, system design, performance, reliability, and risk controls, • Work pragmatically through complex engineering and trading-system challenges, • Partner closely with trading, quant, product, risk, and infrastructure stakeholders, • Balance technical leadership with people leadership, delivery ownership, and operational discipline Required Experience • 7+ years of experience in systematic trading, options market-making or low-latency trading systems, • Strong hands-on experience with Rust, C++, or C, • Willingness to become deeply proficient in Rust, if not already, • Strong understanding of algorithmic options trading, including automated quoting, execution, pricing, risk controls, and market data workflows, • Experience building or maintaining low-latency trading systems, ideally within options or derivatives markets, • Experience working with SQL databases in production environments, with PostgreSQL preferred, • Familiarity with functional testing, component testing, and production-grade validation practices, • Strong understanding of distributed systems, service boundaries, and production reliability, • Strong knowledge of gRPC and experience working with Node.js-based services is preferred, • Previous experience with crypto exchange connectivity and/or FPGA technologies is strongly preferred Leadership & Working Style • Strong team player with the ability to lead, mentor, and guide engineers, • Pragmatic approach to problem-solving, system design, and implementation, • Able to balance latency, reliability, safety, complexity, and delivery speed, • Comfortable making technical decisions under uncertainty, • Demonstrates outside-the-box thinking while staying grounded in practical delivery, • Communicates clearly and effectively, especially in unfamiliar or ambiguous contexts where clarity is critical, • Able to work closely with traders, quants, risk, product, and infrastructure stakeholders, • Strong ownership mindset, especially for production trading systems Our recruitment philosophy We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. Our offer • A competitive salary package, • Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely, • The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock.

Senior AI Engineer (NLP / LLMs) – remote (UK based) £70-100k depending on experience A high-growth SaaS company is hiring a Senior AI Engineer to help build intelligent, mission-critical systems used in highly regulated environments. The platform applies machine learning and large language models across complex, end-to-end data workflows, solving real-world problems with measurable social impact. The Role As a Senior AI Engineer, you’ll design, build and deploy advanced NLP and LLM-based solutions, taking models from research through to production. You’ll work closely with AI, data, MLOps and product teams to translate business and regulatory requirements into scalable, reliable AI systems. This is a hands-on role for someone who enjoys owning outcomes, balancing experimentation with real-world delivery. What You’ll Be Doing • Designing and developing NLP and LLM-driven solutions for complex, real-world use cases, • Fine-tuning and adapting foundation models using domain-specific data, • Building evaluation frameworks, prompt testing tools and data preprocessing pipelines, • Monitoring, optimising and maintaining deployed models for performance, cost and reliability, • Implementing explainability, fairness and bias-mitigation strategies, • Collaborating on MLOps pipelines, CI/CD workflows and production deployments, • Mentoring junior engineers and promoting best practices across the team, • Staying current with advances in AI, NLP and MLOps to drive continuous improvement What We’re Looking For • Proven experience as an AI or Machine Learning Engineer with end-to-end model ownership, • Strong expertise in NLP and LLMs (transformers, fine-tuning, RAG, agents), • Experience translating research and experimentation into production systems, • Solid understanding of MLOps, including CI/CD, monitoring and model lifecycle management, • Hands-on experience with Docker and Kubernetes, • Experience working in regulated or sensitive domains, • Exposure to graph-based retrieval techniques, • Experience with Azure ML and DevOps integrations

About Us Every business needs to know who they’re really working with whether it’s suppliers, investors, partners, or third parties. At Xapien, we’re reinventing how organisations do that, combining speed, scale and accuracy with cutting-edge AI. Since 2018, we’ve grown from a deep-tech startup to a global player in AI-driven due diligence and risk intelligence. 2024 was a landmark year as we closed a $10M Series A, earned recognition in the Chartis RiskTech100® and Everest Group’s Leading 50™, and expanded our products, markets and customer base. 2025 was even bigger: With new regulations, rising compliance pressure and growing reputation risks, organisations everywhere are demanding smarter, faster ways to work and they’re turning to us. Customers worldwide from global law firms and private banks to universities and nonprofits rely on Xapien to turn days of manual research into trusted insights, delivered in minutes. Our momentum so far Customers in a diverse range of industries, with particular growth in wealth management, financial services and supply chain onboarding. Demand accelerating beyond our UK headquarters, across multiple continents with new customers in the Middle East, Asia, and Oceania. Why this is an exciting time to join This isn’t just another tech role; it’s an opportunity to shape the future of the due diligence industry with a market-leading product trusted by global organisations. Whether you’re in marketing, communications, sales, or finance, you’ll play a critical role in driving growth, building credibility, and defining how we connect our product to a rapidly evolving market. We’re scaling fast with more customers, more releases, and bigger regulatory and market challenges. Expectations are rising, due diligence now means real-time insight, delivered efficiently and with impact. You won’t just be executing campaigns, closing deals, or managing numbers, you’ll be influencing strategy, optimising processes, and helping position a brand that’s setting the new standard for trust and transparency. For people who love learning, innovating, and making an impact that matters now is the moment to be a part of Xapien. The Role We're hiring a Staff Backend Engineer to join our engineering team in a high-impact technical leadership role. You'll work on our most challenging technical problems, own parts of our platform's architecture, and help shape the technical direction of our backend stack. Our tech stack centres on Go microservices, with Temporal workflows and MongoDB running on Kubernetes in GCP. You'll work with modern patterns including event-driven architectures, gRPC and REST APIs, and comprehensive observability with Grafana Cloud. We're an AI-native engineering team. We use Claude Code daily and we're investing heavily in AI-assisted development as a core part of how we build software — not as an experiment, but as a first-class engineering practice. We want engineers who are excited about this and who have ideas about how to push it further: how to decompose work for AI agents, how to maintain quality at higher velocity, and how to help an entire team get dramatically more productive with these tools. You'll take technical ownership of major domains within our platform — whether that's our Investigations pipeline (web scraping, data provider integrations, LLM-powered analysis) or our Core App systems (user journeys, features, and configuration). You'll be a technical authority, establishing patterns that others follow and driving initiatives that span multiple teams. What You'll Do • Own the technical direction and architecture for parts of our platform, • Design and build complex backend services and systems that scale, • Drive technical decisions that affect multiple teams, • Establish patterns, standards, and best practices that others will follow, • Shape and evolve our AI-assisted development practices, setting the standards for how the team works effectively with AI tooling, • Use AI tooling to multiply your own output and help the wider team do the same, rethinking how engineering work is planned, decomposed, and delegated, • Lead complex technical initiatives from design through implementation, • Identify and address systemic technical challenges across our backend, • Set the standard for high-quality code, whether written by hand or with AI — knowing when to trust, when to intervene, and what good looks like either way, • Mentor engineers across the organization, raising the technical bar, • Balance technical excellence with pragmatic delivery, • Influence technology choices and architectural direction, • Collaborate with engineering leadership on technical strategy, • Build new systems and features while improving our existing architecture What We're Looking For Essential • 10+ years of professional software engineering experience, • Strong backend engineering fundamentals — we use Go, but we're hiring an engineer, not a language specialist. If you're excellent and haven't written Go before, that's fine., • Proven track record of designing and owning large-scale systems, • Strong experience with distributed systems, event-driven architectures, or similar complex systems, • Deep understanding of databases, particularly MongoDB or similar NoSQL systems, • Extensive experience with microservices architecture and inter-service communication, • Expert-level understanding of containerization (Docker) and orchestration (Kubernetes), • Experience working with AI coding assistants (Claude Code, Copilot, Cursor, or similar) as a core part of your development workflow, with a perspective on how to get the most value from them, • Experience establishing technical standards and patterns across teams, • Strong architectural thinking with ability to balance trade-offs, • Track record of mentoring and developing other engineers, • Ability to drive technical initiatives with minimal guidance, • Experience influencing technical direction at an organizational level, • Excellent communication skills with ability to articulate complex technical concepts Highly Desirable • Experience with Temporal or similar workflow orchestration systems at scale, • Deep knowledge of event streaming platforms like Kafka, • Experience with LLMs and AI integration (particularly for Investigations team), • Experience driving AI tooling adoption and practices across an engineering team — establishing shared conventions, measuring impact, and helping engineers level up, • Background in SaaS platforms or B2B products at scale, • Expert-level knowledge of observability tools (Grafana, Prometheus, etc.), • Deep understanding of authorization patterns, security, and multi-tenancy, • Experience with protobuf and gRPC Our Tech Stack • Languages: Go, • Databases: MongoDB, • Messaging & Orchestration: Temporal, Kafka, • APIs: REST, gRPC, protobuf, • Infrastructure: Kubernetes, GCP, • Observability: Grafana stack, • AI/ML: LLMs (OpenAI, Gemini), RAG systems, • Development Tools: Claude Code, AI-assisted development workflows What Success Looks Like In your first 6 months, you will have • Owned and driven a significant technical initiative to completion, • Established new patterns or improved existing ones across teams, • Mentored multiple engineers, visibly raising technical standards, • Contributed to architectural decisions, • Been recognized as a technical authority in your domain, • Made measurable improvements to system reliability, performance, or scalability, • Influenced the technical direction of our backend platform, • Helped evolve our AI-assisted engineering practices, contributing to how the team gets more value from our tooling Here’s our promise to you • We are going to work with you - to build a rewarding and fulfilling career with the opportunities, challenges and resources you need to do you your best work., • We succeed together- you will own a meaningful part of the business through our employee shares & equity programme., • Private health insurance to keep you in tip-top condition., • Life Insurance – let's hope nobody ever needs this!, • Unlimited holidays – yes, it really is uncapped – take the time you need, when you need it., • Everyone is learning, developing and challenging themselves so we have a £1k professional development fund per year if you want to learn new skills, even new things outside of work., • Most importantly of all, we will work with you, to help you realise your fullest potential, always.

Job Title: Senior Machine Learning Engineer (Bio/AI) Location: Near London (Hybrid, 3 days onsite) Salary: £95,000 – £150,000 Company: Stealth Biotech Startup (Series A) About the Company This venture-backed biotech startup is developing AI-driven platforms to transform drug discovery and precision medicine. Operating across machine learning and experimental biology, they are focused on extracting meaningful insights from complex biological systems to accelerate therapeutic development across areas such as oncology and rare diseases. With strong early funding and a growing multidisciplinary team, they are now scaling both their technical platform and engineering capability. The Role They are hiring a Senior Machine Learning Engineer to take ownership of their ML strategy and help scale the company’s modelling and data capabilities. This role sits at the core of the business - bridging research, engineering, and product - and will play a key part in shaping how machine learning is applied across their discovery pipeline. You’ll be expected to lead from the front: setting technical direction, mentoring engineers, and building production-grade ML systems that integrate closely with biological research workflows. What You’ll Be Doing • Lead the design and development of machine learning models applied to biological datasets (e.g. genomics, multimodal omics, protein data), • Define and implement scalable ML architecture and best practices across the team, • Work closely with scientists and leadership to translate research problems into ML solutions, • Drive the transition from research prototypes to robust, production-ready systems, • Mentor and support junior ML engineers and contribute to hiring efforts, • Help shape the long-term ML roadmap and technical strategy What They’re Looking For • 6+ years experience in machine learning / AI engineering roles, • Proven track record of deploying ML models into production environments, • Strong Python skills and deep experience with frameworks such as PyTorch or TensorFlow, • Experience working with complex, high-dimensional datasets (biological data strongly preferred), • Solid understanding of modern ML approaches (deep learning, representation learning, etc.), • Experience leading projects or mentoring engineers in a team environment Nice to Have • Background in bioinformatics, computational biology, or life sciences, • Experience with drug discovery, protein modelling, or genomics pipelines, • Familiarity with MLOps, CI/CD, and scalable cloud infrastructure, • Exposure to graph-based models, transformers, or multimodal learning, • Experience in an early-stage startup or fast-scaling environment Why Join Them • Opportunity to take a leading role in shaping an AI-first biotech platform, • Strong equity offering at an early stage of growth, • High-impact work with real-world clinical and scientific applications, • Collaborative team combining deep technical and scientific expertise, • Flexible hybrid working between London and Cambridge How to Apply For more information or a confidential discussion, please get in touch or use LinkedIn EasyApply.