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Principal Security Engineer Location: Remote UK/Euro Reporting line: Chief Risk Officer About Auros Auros is a global digital asset liquidity provider operating 24/7 across centralised and decentralised markets. We run high-availability, low-latency systems where resilience and risk discipline matter. Security is treated as a core engineering and risk function, with direct engagement from senior leadership. The Role We're hiring a hands-on principal security engineer to implement and operate security controls across our infrastructure. This is a technical execution role where you'll be writing code, configuring systems, and shipping security improvements, not writing policies or managing people. You'll work closely with Infrastructure and Engineering teams to harden our cloud environments, secure our CI/CD pipelines, and protect both corporate and production systems. The scope is broad, the environment is fast-paced, and you'll be expected to own problems end-to-end. We believe security should enable the business, not obstruct it. You'll design controls that are effective but unobtrusive, security that works in the background without creating friction for engineers or traders. What You'll Do • Implement and maintain security controls across multi-cloud environments (primarily AWS, with some Azure, GCP and AliCloud) and on-prem infrastructure, • Own IAM strategy and implementation: design and enforce identity, access, and permissions models that are secure, scalable, and practical, • Design and operate key management and custody security controls such as HSMs, secrets management, and secure key handling for trading operations, • Harden CI/CD pipelines (GitLab) and secure the software delivery process, • Configure and operate corporate security tooling (endpoint protection, MDM/Jamf, DLP, identity management), • Respond to security incidents: triage, investigate, contain, remediate, • Conduct security assessments of infrastructure and applications, • Automate security operations: detection, alerting, and response, • Work with Infrastructure to embed security into cloud provisioning and system configuration What We're Looking For • 8+ years' hands-on experience in security engineering or security operations, • Strong, opinionated views on IAM (you've designed and implemented identity and access management across cloud environments and have a clear philosophy on how it should work), • Strong working knowledge of cloud security controls across multiple providers (AWS and Azure preferred), • Experience securing CI/CD platforms, GitLab preferred, • Familiarity with corporate IT security tooling (Jamf, endpoint protection, DLP, SSO/IdP), • Comfortable in Linux environments and scripting (Python, Bash, or similar), • Experience with infrastructure-as-code (Terraform, Pulumi etc.) is a plus, • Exposure to financial services, crypto, or other regulated environments is a plus but not required, • We value demonstrated skills and practical experience over certifications. What You Get • Direct ownership of security implementation, • A small, technical team where your work has immediate impact, • Exposure to low-latency trading infrastructure and the digital asset space

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: Cloud Data Architect (AWS) Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking a highly skilled AWS Data Migration & Data Engineering Consultant to lead end-to-end data migration initiatives across on-prem, cloud, and multi-cloud environments into AWS., • This role focuses on defining and executing data migration strategies, including assessment, wave planning, migration execution, and post-migration stabilization, while ensuring data integrity, minimal downtime, and alignment with business SLAs., • The ideal candidate brings strong experience in cross-platform database migrations (Oracle, SQL Server, MySQL, or cloud-native systems) combined with deep expertise in AWS data engineering services and modern data pipeline development. Key Responsibilities: • Lead end to end database migrations to AWS from diverse sources, including on-premises systems (e.g., Oracle, SQL Server, MySQL) and other cloud platforms (e.g., GCP, Azure)., • Lead end-to-end data migration strategy and execution, including assessment, dependency mapping, and wave planning., • Design and implement migration frameworks using AWS DMS, SCT, Glue, and Redshift., • Define and execute data validation, reconciliation, and cutover strategies ensuring zero/low data loss., • Enable CDC-based replication and minimal downtime migrations across heterogeneous systems., • Design and optimize ETL/data pipelines using AWS Glue, PySpark, or EMR., • Architect and implement scalable, secure, and highly available data platforms on AWS., • Drive schema conversion and modernization strategies (heterogeneous migrations where applicable)., • Optimize performance of source and target systems pre- and post-migration., • Manage and govern S3-based data lakes and metadata using Glue Data Catalog., • Collaborate with application, infrastructure, and analytics teams for seamless migration and stabilization., • Implement monitoring, rollback, and failure recovery mechanisms., • Ensure adherence to security, governance, and compliance standards. Skills: • 8+ years of experience in database migration and data engineering., • Proven experience in cross-platform data migrations (on-prem to cloud or cloud to cloud)., • Experience designing and implementing data validation and reconciliation frameworks., • Strong experience in ETL/data pipeline development (Glue, PySpark, EMR, or equivalent)., • Deep proficiency in SQL and data modeling concepts., • Experience working with S3-based data lakes and Glue Data Catalog., • Strong understanding of CDC, transaction consistency, and migration cutover strategies., • Hands-on experience with performance tuning, schema design, and query optimization., • Proficiency in Python/PySpark and scripting (Shell/Python)., • Experience with Oracle, SQL Server, MySQL, PostgreSQL, or cloud-native databases., • Strong hands-on expertise with:, • AWS DMS (Database Migration Service)., • AWS SCT (Schema Conversion Tool)., • AWS Glue (ETL & data integration)., • Amazon Redshift (data warehousing). Nice to Have: • Exposure to real-time replication tools (e.g., GoldenGate or equivalent)., • Database Administration (DBA) expertise, including backup & recovery strategies, HA/DR design, database patching and upgrades, lifecycle management, capacity planning, performance monitoring, and security hardening., • Experience with Lake Formation and data governance frameworks., • Familiarity with Data Mesh and cross-account data sharing architectures., • Experience with CI/CD for data pipelines (CodePipeline, Jenkins, etc.)., • Knowledge of Infrastructure as Code (Terraform / CloudFormation)., • AWS Certifications (Solutions Architect / Data Engineer)., • Experience in mentoring teams and leading large-scale migration programs. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Drive data innovation at the heart of complex engineering programmes shaping the future of energy. This is a high-impact opportunity to combine data engineering expertise with real-world project delivery. You will play a central role in building robust, scalable data solutions that support critical decision-making across major infrastructure programmes. Working in a collaborative, multi-disciplinary environment, you will help embed data-driven thinking, improve processes, and influence how teams operate. It is an ideal role for someone who enjoys both technical challenge and stakeholder engagement. Key Responsibilities • Develop and maintain data models supporting change control processes, • Build and optimise PowerBI dashboards using Databricks data models, • Deliver data engineering solutions using SQL and Python, • Align business requirements with data logic and reporting outputs, • Collaborate with IT, IIM, and IDA stakeholders, • Drive adoption of data-centric tools and ways of working, • Support team upskilling and knowledge sharing initiatives, • Ensure data quality, consistency, and governance standards, • Enable data-driven insights for project decision-making Qualifications & Requirements • Degree in a science, engineering, or technical discipline (or equivalent experience), • Proven experience in data engineering, software development, and visualisation, • Strong coding skills in SQL and Python, • Experience with Databricks and PowerBI, • Solid database management expertise, • Strong organisational and project coordination skills, • Excellent communication and stakeholder engagement abilities, • Ability to manage issues and escalate effectively, • Experience in regulated industries (nuclear desirable), • Understanding of budget and schedule management advantageous What’s in it for you: The nuclear energy sector offers long-term stability, meaningful impact, and exposure to cutting-edge innovation. You will contribute to projects critical to sustainable energy and national infrastructure while developing highly sought-after technical skills. • Competitive salary and strong market rates, • Comprehensive benefits package, • Long-term career progression opportunities, • Work on advanced data and engineering platforms, • Exposure to complex, high-value projects, • Collaborative and forward-thinking environment Company Overview Our Client is a global leader in advanced engineering and technology solutions, delivering complex programmes across science, security, and sustainability. Their teams are driven by curiosity, innovation, and a commitment to solving some of the world’s most challenging problems. They foster a collaborative culture where individuals are empowered to grow, contribute, and make a meaningful impact on large-scale, future-focused projects. Interested? Please email your up to date CV to Emily Warner on or call the office on 01502 564892.

Senior Python Django Developer – Contract • Location: Full Remote (Occasional Travel), • Daily Rate: Up to £750 p/d Inside IR35 via Umbrella Engagement (Negotiable), • Please Note: This role will need to operate through an Umbrella company and all employer, employee tax and NI will be deducted from the rate About Us Our client is a forward-thinking FTSE100 retailer, building cutting-edge, enterprise-grade algorithmic platforms for global institutions. Our mission is to harness the power of AI to transform data into actionable insights, driving smarter decisions in capital markets, asset management, and fintech innovation. As we expand our core engineering team, we are seeking an exceptional Senior Python Django Developer to help architect, build, and scale our high-performance systems. Role Overview As a Senior Developer, you will be working on a sophisticated AI-powered algorithm platform, responsible for the core services, APIs, and distributed processing backbone. This role requires a deep understanding of Python internals, Django architecture, and scalable API design, with a particular emphasis on multithreading, concurrency, and performance tuning. Key Responsibilities • Lead the design and development of backend services using Python and the Django Rest Framework (DRF), • Optimize data processing and I/O-heavy operations, with advanced understanding of Global Interpreter Lock (GIL) and Threading, • Implement clean, type-safe code using Python type hinting, PEP-compliant standards, and robust unit testing, • Build performant, scalable APIs to support financial modeling and algorithmic decision-making tools, • Architect and implement efficient event-driven workflows, asynchronous tasks, and loop constructs for real-time operations, • Collaborate closely with AI/ML engineers, UI/UX Engineers, Data Scientists, and DevOps to deploy and monitor production-ready services, • Mentor junior developers and conduct code reviews to maintain high code quality and engineering standards Key Skills & Experience Essential: • Proven experience in Python backend development, with deep expertise in Django and Django Rest Framework across multiple organisations or environments, • Advanced knowledge of Python concurrency, including the Global Interpreter Lock (GIL), multithreading, multiprocessing, and asyncio, • Strong grasp of type hinting, generators, iterators, and Pythonic loop constructs, • Proven ability to design RESTful APIs for high-throughput, low-latency systems, • Experience with unit testing, integration testing, and test automation frameworks, • Solid understanding of PostgreSQL, Redis, and message queues (e.g., Celery, RabbitMQ) Desirable: • Exposure to containerized environments (Docker, Kubernetes) and CI/CD workflows, • Familiarity with data pipelines and integration with AI/ML models, • Contributions to open-source projects or Python/Django communities

Senior CFD Engineer Bristol - Hybrid £60,000 - £65,000 Our Offer Capgemini Engineering are looking to recruit a Senior CFD Engineer with particular focus on simulating airflow around aircraft designs and engines to optimize performance, handling, and safety. Your Role As a CFD engineer you will be involved in using computational fluid dynamics (CFD) software to analyse aerodynamic behaviour, generate aerodynamic models, and provide data for various stages of aircraft as well as engine development. Key skills include expertise in CFD software, meshing, data analysis, and a strong understanding of aerodynamics and flight dynamics. Key responsibilities include: • Working with 3D CAD models (e.g., 3DX, CATIA, SolidWorks) to prepare geometries for CFD simulations., • Preparing CFD meshes (e.g., Fluent Meshing, ICEM CFD, ANSA or CADfix)., • Using CFD software TAU and CODA (also Ansys Fluent, OpenFOAM, STAR-CCM+) to simulate airflow and analyse aerodynamic performance., • Post-processing the CFD solutions (e.g., python scripts, Tecplot, Paraview)., • Creating aerodynamic models and databases based on CFD and experimental data (wind tunnel, flight tests)., • Contributing to the optimization of aircraft designs by analysing aerodynamic behaviour and identifying areas for improvement., • Analysing CFD results, extracting insights, and presenting findings to relevant stakeholders., • Lead junior engineers within the team to integrate CFD results and contribute to the overall completion of the project, • Write and approve technical reports., • A degree in Aerospace Engineering, Mechanical Engineering, or a related field, with a specialization in aerodynamics., • Proficiency in CFD software, meshing techniques, and turbulence modelling., • Strong understanding of aerodynamic principles, flight mechanics, and aircraft performance., • Ability to analyse, interpret, and present CFD results effectively., • Ability to work quickly and accurately to follow client needs., • Communication and customer-facing skills., • Team player, able to work effectively and to short timescales with others in a busy environment., • Proactive attitude and ability to communicate and report at different levels., • Excellent communication skills with a good level of verbal and written English., • Knowledge of programming languages like Python, MATLAB, or similar for data analysis and automation could be a plus., • Working knowledge of Unix would be a plus.

Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provid

🚨 Full Stack Engineer (AI & Cybersecurity Startup) - EU Remote🚨 We're partnering with a well-funded AI startup (stealth for now) that’s building at the intersection of LLMs and cybersecurity, and we’re looking to connect with exceptional Full Stack Engineers across the EU. This is an early engineering hire with huge ownership, high autonomy, and the chance to shape a modern product and architecture from day one. 💸 Salary: €100,000 – €160,000 (£100-140k)+ very strong equity package 🌍 Location: Fully remote across the EU 🛠 Tech Stack: React, TypeScript, Python, AI/LLMs ✈️ Company: Quarterly offsites with a small, high-performing international team Ideal Background – B2B SaaS experience and startup mindset – 6+ years full-stack experience, can build end-to-end features – Proven REST API development with Python – Strong React + TypeScript skills – Bonus: Production level LLM integration experience – Work independently in a small, senior team, shaping architecture and performance If you're interested in joining a cutting-edge AI company and want real impact, autonomy, and technical ownership, feel free to reach out with your CV and notice period. 🚨 Full Stack Engineer (AI & Cybersecurity Startup) - EU Remote🚨

Senior Platform Engineer (DevEx) – GCP, Kubernetes, Terraform, CI/CD, Python Oliver Bernard are currently seeking a strong, Senior Platform Engineer (from a Software Engineering background) to join a client of ours on a digital transformation orientated project. Existing plans are focused on embracing Cloud Native, removing a lot of bespoke engineering from their environment, optimising processes, and advocating for DevEx / Dev enablement throughout. The existing Platform team consists of four engineers who work closely with engineering day to day, and are responsible for scaling their practices across Cloud, Containers, and IaC technologies, whilst driving best practices from a broader engineering perspective across Infrastructure. This is a remote first role, and requires the following hands-on experience to be considered: • Strong Cloud experience with GCP (at least 3-4 years), • Containerisation / Orchestration with Kubernetes (+ Helm), • IaC with Terraform, alongside Automation with Ansible, • Prior work across CI/CD, Monitoring and Observability, • Comfortable coding with an OO language (ideally Python or Java), • Prior experience in a Senior capacity This position is a remote first opening (with office visits only required quarterly for team days) and can offer £75-85K for the right profile. Senior Platform Engineer (DevEx) – GCP, Kubernetes, Terraform, CI/CD, Python

Senior Network Engineer Glasgow, UK - Hybrid £75,000 - 95,000 - Depending on experience & qualifications We are proud to be supporting a fast-growing technology company at the forefront of satellite and cloud infrastructure in their search for a Senior Network Engineer. Because this engagement is sensitive, we'll share the client's name with candidates at the shortlisting stage. THE OPPORTUNITY Our client is building a next-generation network connecting satellites, ground stations, and cloud infrastructure. Operating across dynamic, intermittent links, their platform is designed to deliver data reliably into cloud-based workloads, a technically complex challenge requiring deep networking expertise. This role sits at the heart of their edge infrastructure, the servers and network devices deployed on-site at antenna locations to receive, demodulate, and transport satellite data to the cloud. It is a hands-on, high-ownership position spanning routing, overlay networking, edge systems, and cloud connectivity. KEY RESPONSIBILITIES Network Design & Architecture • Design L3 network topology across satellite, ground, and cloud environments, • Define IP addressing schemes, segmentation, and routing domains, • Model connectivity patterns and failure scenarios Routing & Connectivity • Implement and operate dynamic routing protocols, • Design route advertisement, filtering, and failover strategies, • Handle intermittent and flapping connectivity gracefully Overlay & Secure Networking • Build secure multi-hop paths with strong encryption and isolation, • Implement secure tunnel configurations (WireGuard / IPsec), • Define and enforce SSH access policies, firewall rules, and least-privilege communication Automation & Infrastructure • Develop automation pipelines using Terraform and Ansible, • Support scalable rollout and configuration management across distributed sites Operational Integration • Align networking behaviour with satellite scheduling and operational windows, • Design safe state transitions and failover scenarios, • Improve observability, monitoring, and alerting across the stack WHAT WE'RE LOOKING FOR Our client is seeking a Senior Network Engineer with strong technical fundamentals and a genuine passion for solving complex infrastructure challenges. You'll be comfortable working across architecture, implementation, and troubleshooting, and you take strong ownership of everything you touch. Essential Experience • Advanced-level experience with IP networking and routing, • Hands-on BGP experience covering design, operation, and troubleshooting; familiarity with distance-vector protocols, • Solid Linux networking skills, including VLANs, MTU, TCP/IP, and complex NAT, • Proven experience designing and operating VPNs and tunnelling technologies in distributed environments (WireGuard, StrongSwan, GRE + IPsec), • AWS networking expertise: VPC, TGW, Cloud WAN, VPN, and edge or hybrid networking, • Strong grasp of overlay vs underlay networking principles, • Extensive infrastructure automation experience with Terraform, Ansible, or equivalent, • Scripting or coding ability in Python, • Proven ability to debug complex, distributed systems Desirable • Exposure to satellite, telecom, or RF systems, • Experience with hardware operations, rack installation, or cable management, • Broader cloud platform experience beyond AWS WHY THIS ROLE STANDS OUT • Work on genuinely novel infrastructure at the intersection of space, ground, and cloud, • High ownership from day one, you'll design and ship, not just maintain, • Join a technically exceptional team building something with real-world impact, • Shape architecture at an early stage of a complex, mission-critical system, • An opportunity that sits at the cutting edge of clean technology infrastructure APPLY VIA CLEANTECH TALENT This role is being managed exclusively by Cleantech Talent on behalf of our client. If you have the background and ambition to take on this challenge, we would love to hear from you. Please apply directly through LinkedIn or reach out to the Cleantech Talent team with your CV and a brief note on your interest and relevant experience. All applications are handled in strict confidence.

Company Description ShopQuick, a voluntary initiative under Novalink Innovations Limited, is dedicated to leveraging technology to redefine convenience in daily shopping experiences. Focused on innovation and customer satisfaction, the organization emphasizes seamless, user-friendly solutions in retail technology. Based in the United Kingdom, ShopQuick thrives on collaboration and creativity to empower communities and enhance shopping systems. As a volunteer-focused organization, we aim to foster skill development while contributing to cutting-edge technological applications. Role Description This is an on-site volunteer role for an AI/ML Engineer, located in the United Kingdom. The role involves designing, developing, and testing AI and machine learning models; pre-processing and analyzing large data sets; and collaborating with cross-functional teams to integrate intelligent systems into ShopQuick's operations. The AI/ML Engineer will also be responsible for optimizing algorithms, monitoring performance metrics, and staying updated with advancements in machine learning technologies while applying them to real-world challenges. Qualifications • Experience in Machine Learning and Artificial Intelligence, including fundamental concepts and applications., • Proficiency in programming languages like Python or R, with experience in using libraries such as TensorFlow, PyTorch, or Scikit-learn., • Strong data management skills, including data preprocessing, cleaning, and the ability to work with large data sets efficiently., • Familiarity with statistical modeling and algorithm development techniques., • Problem-solving skills, a detail-oriented mindset, and the capacity to learn new technologies quickly., • Excellent communication and teamwork abilities, especially in collaborative and cross-functional settings., • A degree or ongoing studies in Computer Science, Data Science, Mathematics, or related fields is preferred., • Previous experience in retail technology or volunteering roles is a plus.

AI Engineer | Up to £130,000 | Remote | Full-Time We've partnered with a well-funded Web3 infrastructure company eliminating blockchain fragmentation to recruit an AI Engineer. Following a $20M Series A, they're scaling fast and need someone who can supercharge the org through intelligent systems, reporting directly to the CTO. You'll own the full AI stack; internal tooling, developer experience, customer-facing products, and everything in between, in a technically ambitious environment where your work has immediate, visible impact. Key Responsibilities: • Build AI-powered internal tooling and automation across all teams, • Enhance developer workflows with AI coding assistants and DX improvements, • Develop and maintain customer-facing AI systems and support pipelines, • Architect large-scale RAG and knowledge systems, • Design multi-agent and agent swarm architectures, • Manage LLM integration, model selection and cost/performance optimisation, • Fine-tune domain-specific LLMs and maintain observability (LangFuse, W&B), • Build workflow automation pipelines with n8n and LangChain What We're Looking For: • Proven track record shipping AI systems in production, • Strong Python, TypeScript and/or JavaScript, • Hands-on expertise with LangChain, n8n and RAG at scale, • LLM fine-tuning and multi-agent architecture experience, • Familiarity with MCP and modern AI tooling (Cursor, Claude), • A product mindset: you identify what teams actually need and drive adoption Bonus: Voice AI/multimodal experience or open-source AI contributions If you want to build at the intersection of cutting-edge AI and Web3 infrastructure, with real ownership and outsized impact, this is the role for you.

Data Scientist / Machine Learning Engineer – Defence & Security Bristol, London, Manchester DV Cleared Required The Opportunity Join a growing Data Science & Machine Learning team working on some of the most ambitious and mission-critical programmes in the Defence & Security sector. This role offers the chance to apply cutting-edge AI techniques to real-world challenges, delivering impactful solutions that support national security. Key Responsibilities • Apply data science, machine learning, and AI techniques to solve complex, real-world problems, • Research, design, and implement innovative models and solutions, • Work across the full ML lifecycle from requirements gathering and prototyping to deployment and live service support, • Deliver high-quality, scalable solutions with measurable impact, • Collaborate with multidisciplinary teams in agile environments, • Contribute to new ideas, propositions, and project delivery, • Build strong relationships with stakeholders and communicate insights effectively Essential Skills & Experience • Proven experience applying data science or machine learning in Defence, Security, public sector, or academia, • Strong understanding of machine learning models (e.g. Transformers, CNNs, Generative AI) and their practical applications, • Excellent communication skills with the ability to present complex ideas clearly, • Experience working with stakeholders and cross-functional teams, • Track record of contributing to project delivery, innovation, or capability development Desirable Skills • Experience working with text, audio, image, or video data, • Familiarity with cloud platforms (AWS, Azure, GCP), • Strong Python skills and experience with ML libraries and frameworks (e.g. TensorFlow, PyTorch), • Knowledge of statistics and probability, • Experience with ML lifecycle tools (e.g. MLflow, Kubeflow, Argo), • Understanding of Ethical and Responsible AI principles Security Requirements You must hold active UK Developed Vetting (DV) clearance.

Our team members have been leaders in FileMaker development for nearly a decade. As our client list grows, so does our need for talented developers who tackle big projects with ground breaking solutions. Location UK only, open to work UK Time (BST/GMT) Position We’re looking to hire another experienced FileMaker developer. We’re interested in someone who has tackled adventurous FileMaker development tasks, whether it’s architecting solution frameworks, building Custom Function libraries or Add-ons, Web Viewer integration with JavaScript, mobile solution sync, long-term system development, experience with Web integration, dash-boarding using ExecuteSQL or Qlik, building financial models, MySQL or Oracle integration, actively participating in the developer community, commercial product development, cutting-edge UI design…OR anything else you’ve done beyond the limits of standard FileMaker development. Requirements There’s no single technical or business requirement in this area — please check out our blog, list of services, case studies and client list for an idea of what our team members work on. In short this is anything or everything Claris- and FileMaker-related. You should have: • Minimum of five years experience as a developer., • Familiarity with current versions (v19.x) of the FileMaker Platform., • FileMaker Certification as an achievement or goal., • Solid knowledge of related technologies and IT environments., • Excellent communication skills., • Proven reliability., • Experience with JavaScript is a plus., • Experience with Qlik, PowerBI, or Tableau is a plus., • Experience with web integration, HTML5/JSON/REST APIs/Git/etc. is a plus., • Experience with graphic design, data visualization, UI/UX is a plus., • Experience with Project Management and/or Agile software development is a plus., • Interest in JS/React/Node, Ruby/Rails, Python or Swift/iOS is a plus., • Experience with ERP, SCM, finance, POS, E-commerce is a plus. The ideal applicant will be able to enthusiastically perform job functions with a minimum of structure and supervision, and be able to thrive in an informal, creative, entrepreneurial company. You should be interested in working as part of a smaller firm, although experience freelancing or working at a larger corporation is valuable. Benefits • Competitive salary, • Hybrid office / home working, • EV Car Scheme, • Pension scheme, • Private Health Care, • Gym Membership, • Company incentive scheme, • Staff social & wellbeing events, • Employee assistance programme Salary: £55k - £65k depending on experience. Looking forward to hearing from you.

Title: Principal Forward Deployed Engineer – AI & Customer-Facing Technical Leader Location: Remote Travel: Customer visits 4–5 days/month; occasional team gatherings Salary: Senior: £100–£130k base + growth trajectory Principal: £130–£170k base + package discussion Tech: Python, JavaScript, Azure, AWS, AI, LLM's, RAG Industry: AI Consultancy The Role We’re looking for talented engineers to join our customer-facing AI practice, from Senior Forward Deployed Engineers through to Principal-level AI technical leaders. You’ll work directly with clients to uncover problems, build prototypes, and guide full AI-enabled solution lifecycles. This is a role for engineers who: • Enjoy building real software that makes a difference, • Are passionate about AI and its practical application, • Thrive at the intersection of technical leadership and client engagement What You’ll Do Customer-Facing Leadership • Lead discovery workshops with technical and business stakeholders, • Represent the organisation’s technical capabilities in high-stakes client meetings, • Build and iterate working AI prototypes quickly, • Architect scalable, maintainable systems from prototype to production, • Guide engineers through technical delivery, code reviews, and architectural discussions, • Elevate team capabilities through knowledge sharing, mentoring, and internal workshops, • Implement AI solutions leveraging LLMs, foundation models, and retrieval-augmented generation (RAG) systems, • Design evaluation frameworks addressing bias, hallucination detection, and business impact, • Explore novel AI applications while integrating traditional ML techniques where appropriate Who We’re Looking For For Senior Engineers: • 5–8+ years building robust, scalable software systems, • Full-stack development capability across modern technologies, • Client-facing experience or technical consulting skills, • 8+ years delivering complex, enterprise-grade software, • Proven AI/ML expertise with production deployment experience, • Advanced knowledge of transformer architectures, foundation models, and prompt engineering, • Senior stakeholder engagement experience and ability to lead high-level AI strategy

Meet Eloquent AI (YC X25) At Eloquent AI, we’re building the next generation of AI Operators—multimodal, autonomous systems that execute complex workflows across fragmented tools with human-level precision. Our technology goes far beyond chat: it sees, reads, clicks, types, and makes decisions—transforming how work gets done in regulated, high-stakes environments. We’re already powering some of the world’s leading financial institutions and insurers, fundamentally changing how millions of people manage their finances every day. From automating compliance reviews to handling customer operations, our Operators are quietly replacing repetitive, manual tasks with intelligent, end-to-end execution. Headquartered in San Francisco with a global footprint, Eloquent AI is a fast-growing company backed by top-tier investors. Join us to work alongside world-class talent in AI, engineering, and product as we redefine the future of financial services. About the role: As a Senior Full Stack Engineer at Eloquent AI you will be at the forefront of building and scaling AI-powered applications, transforming how enterprises interact with intelligent agents. You’ll work across the entire stack, developing high-performance front-end experiences and scalable back-end systems that power real-time AI-driven workflows. This role requires strong software engineering skills, a deep understanding of full-stack development, and the ability to work in a fast-paced, AI-first environment. You’ll collaborate with engineers, AI researchers, and product teams to build enterprise-grade solutions that enable seamless AI-human interactions. You will: • Design and build full-stack applications that power AI-driven workflows for enterprise users., • Develop high-performance front-end interfaces for AI agent control, monitoring, and visualisation., • Build scalable backend services that support real-time AI interactions, knowledge retrieval, and automation., • Optimize AI-powered UIs to ensure seamless and intuitive user experiences., • Work closely with AI researchers and ML engineers to integrate LLMs, RAG, and automation into production-ready systems., • Ship robust, minimal-dependency code that performs efficiently in enterprise environments., • Continuously iterate and refine AI-driven products, balancing user needs with technical feasibility. Requirements: • 7+ years of hands-on experience building full-stack production applications., • Proficiency in React, TypeScript, and Node.js., • Backend experience using Python., • Strong knowledge of cloud infrastructure (AWS, GCP, or Azure) and scalable architectures., • Ability to work in a fast-paced, high-autonomy environment - early-stage startup experience would be awesome., • Strong collaboration skills across engineering, product, and AI teams. Bonus Points If… • You have experience building AI-powered applications with LLM integrations., • You’ve worked in high-performance startups or enterprise AI environments., • You have a sharp eye for UI/UX design and have built intuitive, AI-driven interfaces., • You have experience with GraphQL, WebSockets, or real-time data streaming., • You’ve contributed to open-source projects or have built developer tools for AI. Whats on offer: • Salary up to £120k., • Meaningful early equity., • Remote-first setup anywhere in the UK, with occasional trips to meet up with the global team., • A chance to work with some of the smartest and most dedicated engineers and leaders you'll find anywhere.

Machine Learning Scientist (Contract → Full-Time Potential) Location: Remote (Contract) Duration: 3–6 month contract (with potential to convert to full-time) Company: Stealth-stage MedTech (AI in Oncology) About the Company Our client is rapidly scaling, stealth-stage medtech company applying advanced AI to transform cancer care. Founded in late 2025 and led by experienced operators and researchers, we are building proprietary, data-driven models to improve cancer surveillance, diagnosis, and treatment decision-making. Our work is powered by rich longitudinal patient datasets, with strong in-house expertise in genomics. We are not focused on traditional imaging AI—instead, we tackle complex, multimodal clinical data to drive real-world impact in oncology. The Opportunity We are looking for exceptional AI Researchers / ML Engineers to join us on a high-impact contract basis (3–6 months) to accelerate model development across large-scale patient datasets. You will work closely with our Head of AI and core research team, contributing to the design, development, and deployment of models for: • Risk prediction, • Patient outcome modeling, • Clinical decision support High-performing contractors will be considered for full-time roles as we expand our team in Boston later this year. What You’ll Do • Design, build, and evaluate machine learning models on large-scale longitudinal patient datasets (e.g., EHR), • Develop models for risk stratification and outcome prediction in oncology, • Work with multimodal data (clinical, genomic, and other structured/unstructured sources), • Own the end-to-end ML lifecycle: data processing, experimentation, validation, and deployment, • Collaborate closely with cross-functional teams including AI researchers, engineers, and domain experts, • Translate research insights into production-ready systems What We’re Looking For Core Requirements • Strong background in machine learning and ML engineering, • Experience working with real-world healthcare data, especially: Electronic Health Records (EHR), • Longitudinal patient datasets, • Proven ability to design and run rigorous experiments, • Experience deploying models into production environments, • Strong programming skills (Python, PyTorch/TensorFlow, etc.) Preferred / Differentiators • Experience with genomics or multimodal biomedical data, • Track record of publications in top-tier venues (e.g., NeurIPS, ICML, ICLR, Nature, Science), • Experience in healthcare AI, medtech, or clinical data environments, • Background in statistical modeling, causal inference, or time-series analysis Who You Are • A hands-on builder who can move quickly from idea → experiment → production, • Comfortable working in a fast-paced, early-stage environment, • Able to balance research depth with engineering execution, • Motivated by applying AI to high-impact problems in healthcare Why Join Us • Work on cutting-edge AI problems in cancer care with real-world impact, • Access to proprietary, high-quality patient datasets, • Collaborate with a world-class AI and genomics team, • Flexible contract structure with clear path to full-time, • Join early and help shape a high-growth company pre-public launch

Principal Data Platform Engineer Java, Kafka, AWS Remote (UK‑based) Permanent – Up to £130,000 + Benefits Security Clearance Requirement For this role, you must be eligible for SC Clearance. Due to the secure nature of the work, this requires British Citizenship, as some data is UK Eyes Only. Overview We are seeking an experienced Principal Data Platform Engineer to play a key technical leadership role within a high‑impact programme delivering secure, scalable, real‑time data platforms for critical UK Government and national infrastructure clients. This is a hands on senior engineering role with significant responsibility for technical direction, architecture design, client assurance, and mentoring. You will work closely with both internal teams and client stakeholders, helping shape solutions from early concept through to production delivery. The Role As a Principal Data Platform Engineer, you will provide technical leadership across multiple data platform initiatives, designing and assuring highly available, low‑latency, and scalable batch and real‑time data solutions. You will act as a trusted technical authority, engaging directly with clients, producing high‑quality architecture designs, and ensuring proof‑of‑concept solutions are robust, secure, and production‑ready. Key Responsibilities • Lead the design and delivery of complex batch and real‑time data pipelines and backend services, • Produce high‑level and low‑level architecture designs, ensuring alignment with security, scalability, and performance requirements, • Provide technical assurance for solution designs and proof‑of‑concepts prior to production implementation, • Act as a client‑facing technical lead, working alongside customer teams to define requirements, shape solutions, and build confidence, • Mentor and coach Lead and Senior Engineers, setting technical standards and raising overall engineering capability, • Drive and promote best engineering practices, including TDD, CI/CD, DevOps, and clean, maintainable code, • Influence technology choices and architectural patterns across the data platform estate, • Collaborate with architects, analysts, security specialists, and testers in Agile / BDD environments, • Oversee services in production, ensuring resilience, performance, and operational excellence, • Contribute to technical strategy, estimation, delivery planning, and roadmap definition, • Champion continuous improvement across data platform tooling, processes, and ways of working Required Experience • Extensive commercial experience with Java in production environments, • Strong experience designing and building Kafka‑based streaming platforms, • Hands‑on experience with Spark, Flink, Kafka Streams, or similar technologies, • Experience with Spring Boot and/or Python, • Deep experience working with AWS, including services such as Lambda, S3, and cloud‑native architectures, • Experience integrating with data stores such as PostgreSQL, Redis, or similar, • Strong understanding of data pipelines, data modelling, and distributed systems, • Proven experience leading technical designs and mentoring engineers, • Comfortable working in client‑facing roles, explaining complex technical concepts clearly, • Strong background in Agile, DevOps, and modern software delivery practices Desirable Skills • Experience with Elasticsearch, OpenSearch, or Solr, • Infrastructure‑as‑Code tools such as Terraform, Ansible, or Packer, • CI/CD tooling such as Jenkins, Drone, or similar, • Experience working within highly secure or regulated environments The Company You will be joining a UK‑based SME (circa 300 people) that designs, builds, and integrates highly secure data platforms for UK Government and national infrastructure clients. Teams work in integrated, collaborative environments, partnering closely with clients and internal subject‑matter experts. The organisation is known for its high technical standards, strong engineering culture, and genuinely supportive working environment. What’s on Offer • Fully remote working (UK‑based) for security reasons, • Competitive £130,000 salary plus benefits, • Opportunity to work on nationally critical systems, • Access to exceptionally talented engineers and architects, • A role with real technical influence and long term impact If this role is of interest, please apply.

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We’re looking for a Senior AI Engineer (FinLLM / NLP) to help drive the next generation of AI systems powering financial services. This role focuses on developing, fine-tuning and deploying advanced language models that operate at production scale within highly regulated environments. You’ll work alongside our NLP team, software engineers, and product leaders to build cutting-edge solutions that transform how financial organisations use AI. This is a hands-on role where you’ll shape both the technical direction and practical deployment of large language models and NLP systems within our platform. What You’ll Do • Build and optimise LLM-powered systems, • Architect, fine-tune and optimise machine learning models including LLMs and classical ML approaches, • Experiment with modern architectures such as Transformers and Mixture-of-Experts, • Apply efficient training and fine-tuning techniques including LoRA and parameter-efficient methods, • Develop robust evaluation approaches to measure model quality and reliability, • Develop scalable AI systems, • Build and deploy production-grade NLP pipelines and services, • Ensure models operate efficiently with low latency and high availability, • Integrate models into scalable cloud infrastructure and real-world applications, • Data strategy and model training, • Lead the acquisition, processing and governance of large structured and unstructured datasets, • Apply exploratory data analysis and validation techniques to improve training pipelines, • Ensure data privacy and governance standards suitable for financial services, • Engineering best practices, • Contribute to DevOps and MLOps pipelines, • Implement robust version control, testing and CI/CD workflows, • Support reliable deployment and monitoring of models in production environments, • Technical leadership, • Mentor engineers and contribute to the technical growth of the team, • Work closely with product, engineering and data teams to deliver AI solutions, • Stay at the forefront of AI and NLP research, applying new approaches where they add value What We’re Looking For Essential experience • Significant experience building, training and deploying machine learning models, • Strong Python skills with experience using NumPy, Pandas, SciPy and modern ML frameworks such as PyTorch or TensorFlow, • Experience working with large-scale unstructured data, • Experience building and deploying production-ready NLP systems, • Familiarity with API integrations and data acquisition pipelines, • Experience implementing software engineering best practices including Git and agile development, • Experience working with cloud environments (preferably AWS) Nice to have • Experience with containerisation technologies such as Docker or Kubernetes, • Experience with frameworks such as vLLM or NeMo, • Knowledge of financial services NLP applications, • Experience designing evaluation methodologies for LLM outputs, • Experience building intelligent agents or multi-agent systems, • Skills and mindset, • Strong analytical problem-solving skills, • Ability to design scalable, production-ready AI systems, • Clear communication with both technical and non-technical stakeholders, • Passion for AI innovation and continuous learning, • Leadership and mentoring capability Qualifications • MSc or equivalent experience in a relevant field such as AI, Machine Learning, Computer Science, or Data Science Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni What you’ll love: • Remote-first working across the UK, • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

Senior Applications Engineer - Connect Fibre Working from Home £65,000 per annum plus benefits The Company Founded in 2020 by a team of like-minded, very experienced telecoms professionals, we have one vision; to deliver. We are a rapidly growing fibre broadband business with a bold plan for the rapid rollout of multi-gigabit full-fibre broadband networks and services to communities across the UK. We are seeking a motivated and detail-oriented Application Engineer to join our dynamic team supporting the development, implementation, and maintenance of software applications. Working closely with other engineers and cross-functional teams you will ensure the successful delivery of high-quality solutions that meet business and customer requirements. This is an excellent opportunity to play a big part in our transformation plans. The Role • Design, develop, test and implement backend services and integrations using Python and modern frameworks., • Build and maintain frontend applications using PHP, JavaScript/TypeScript and frameworks like Angular or Vue., • Lead development projects through the entire lifecycle and mentor junior engineers., • Troubleshoot and resolve complex technical development issues, providing timely and effective solutions., • Contribute to the creation and maintenance of technical development documentation, including user guides, system documentation, and design specifications., • Conduct regular code reviews to maintain code quality, performance and adherence to coding standards., • Work closely with other engineers, product owners, and other stakeholders to understand project requirements and contribute to the design and development process., • Suggest and implement improvements & best practices to the development process, ensuring efficiency and quality in application delivery., • Working closely with the wider Technology team to align system direction and deliver improvements., • Helping shape technical decisions and taking part in solution design discussions. The Candidate A developer with a proven track record in supporting successful development projects, involved in the full development lifecycle from analysis to development. • 5+ years in software development or application development., • Strong skills in at least one programming language - Javascript, Python, PHP., • Understanding of web technologies (HTML, CSS, JavaScript) is a bonus., • Experience with Wordpress and WooCommerce would be beneficial., • Familiarity with software development methodologies (Agile, Scrum, Devops etc.) and version control., • Experience of Cloud infrastructures Azure or AWS., • Working experience of API and REST API integrations., • Strong analytical and problem-solving skills to identify and mitigate development risks effectively., • Experience of development and integration of SAAS applications, Hubspot beneficial but not essential., • Knowledge of geopandas, numpy, node or SQL is desirable but not essential., • Experience with GIT and Docker processes., • Excellent communication skills with the ability to convey complex technical concepts to non-technical stakeholders., • Strong problem solving skills and leadership abilities. Personal Profile & Working Conditions Location: Candidates must be currently resident in the UK and with either UK citizenship or indefinite leave to remain. Candidates will: ▪ Be self-starters, able to demonstrate enthusiasm, tenacity and the ability to prioritise tasks in a rapidly changing environment. ▪ Be able to work effectively in a remote/hybrid working environment with minimal day-to-day supervision. ▪ Be able to demonstrate the ability and willingness to work in a dynamic, rapidly growing organisation. ▪ Be able to collaborate effectively across the organisation. Effective communication is essential. Connect Fibre operates a hybrid working model with main emphasis on home working with intermittent visits to company office locations, in particular the main office in London. The Rewards • Salary: £65,000 per annum, • 25 days holiday plus Bank Holidays plus Birthday Off (pro-rata), • Company Pension Contribution, • Private Medical and Dental package, • £1,500 Employee Referral Scheme, • Family Friendly Support Package, • Influence key transformation projects, including OSS integrations and a new eCommerce platform, in a growing UK broadband business., • Flexible remote or hybrid working, with regular in‑person workshops and very occasional team meetings in London to support collaboration and alignment. Connect Fibre offers excellent team and business building opportunities. Please see for more information on our exciting new business! Interested applicants should, in the first instance apply here or send an up-to-date CV to: Paul Blunt at Connect Fibre . All applications will remain strictly confidential.

Wenham Carter is proud to be supporting a global leader in industrial software in the search for a Lead AI Engineer to join a specialist AI Investigation & Incubation team. This is a unique opportunity to work at the intersection of advanced AI research and real-world industrial application, taking emerging concepts and turning them into working, deployable systems that deliver measurable impact. The organisation operates at global scale across energy, manufacturing, and asset-intensive industries, where reliability, performance, and operational feasibility are as important as innovation. The role This is a hands-on technical leadership position focused on exploring, validating, and prototyping next-generation AI capabilities. You’ll be responsible for taking early-stage AI ideas and rapidly turning them into proof-of-concepts and pilots that can be assessed for real-world deployment. Key focus areas include: • Evaluating emerging AI technologies for practical industrial application, • Designing and building prototypes, PoCs, and pilot systems, • Developing, fine-tuning, and benchmarking advanced ML models, • Making architectural decisions around deployment, scalability, and integration, • Assessing solutions across cost, security, reliability, and operational feasibility, • Working closely with cross-functional teams to transition validated work into downstream product paths, • Communicating findings clearly to both technical and executive stakeholders, • Mentoring and supporting junior engineers in the team Key requirements • 10+ years of experience in AI/ML engineering, including at least 4 years in a technical leadership role, • Strong academic background in Computer Science, AI/ML, Engineering, or related field, • Deep hands-on experience with Python and modern ML frameworks (PyTorch, TensorFlow, JAX), • Proven track record delivering complex AI initiatives with tangible outcomes, • Experience working in industrial software, manufacturing, energy, IoT, or other asset-intensive environments is essential, • Strong experience with foundation models, multi-modal systems, agent-based architectures, and RAG techniques, • Ability to translate AI capabilities into real-world enterprise and industrial use cases, • Excellent communication skills, including engagement with senior stakeholders and cross-functional teams Why this opportunity? This is a chance to sit at the forefront of applied AI in one of the most complex and important industrial domains globally. You’ll have the freedom to explore emerging technologies, but also the responsibility to turn them into something real, scalable, and valuable. If you’re excited by building at the edge of AI - and seeing your work move beyond the lab into production environments - this is a rare opportunity to do exactly that. To stay updated on roles like this, follow me here on LinkedIn and send me a connection request.

About the client Our client is a confidential leading international integrated energy company with a strong global project engineering capability, currently driving an ambitious energy transition programme spanning CCS/CCUS, renewables, and hydrogen alongside its traditional oil and gas portfolio. The Basingstoke engineering office is a fully integrated project execution hub delivering multi-discipline engineering across all phases of complex projects worldwide, with a dedicated Subsea Systems department at its core. Project scope The assignment is based within the client's Basingstoke Subsea Systems department, providing Flow Assurance technical leadership across multiple concurrent international oil and gas projects — from feasibility and concept development through FEED, detailed engineering, and handover to operations. The role also extends to CCUS projects, covering CO₂ transportation system assessment and thermo-hydraulic studies specific to CO₂ transport. The Senior Engineer will operate as both a technical lead and a Discipline Project Lead (PDL), accountable for Flow Assurance deliverables across assigned projects and responsible for mentoring junior engineers within the discipline. The client operates a hybrid working policy: up to 12 working days per month from home are available, enabling approximately 60% remote working. Role overview To provide senior Flow Assurance technical leadership across the full project lifecycle — from conceptual studies through FEED, tendering, detailed engineering, and operations support — ensuring technical rigour, cross-discipline integration, and compliance with applicable standards across the client's international oil and gas and CCUS projects. Reporting line: You will report to the Flow Assurance Coordinator and the Chief of Subsea Systems, and work in daily coordination with discipline engineers, interface disciplines (Pipelines/Subsea, Process/Facilities, Operations), contractors, and reservoir and laboratory teams. Key responsibilities Technical delivery • Prepare all Flow Assurance technical documentation across project phases: conceptual study, FEED, tendering, contract package preparation, detailed engineering, and operations, • Review and approve FEED, tender, and detailed engineering deliverables prepared by contractors for the Flow Assurance discipline, • Identify, define, and analyse complex multiphase hydrocarbon transportation schemes, • Assess CO₂ transportation systems, evaluate operating envelopes, and support thermo-hydraulic studies for CCUS projects, • Provide technical support to interface disciplines — Pipelines/Subsea, Process/Facilities, Operations — ensuring integrated solutions across all project phases, • Support operations and troubleshoot start-up and commissioning issues as required Procurement & contractor management • Follow up supplier calls for tender and selection processes: qualifications, clarifications, and technical recommendations for the Flow Assurance discipline, • Manage interfaces with reservoir engineering and laboratory teams throughout the project lifecycle Project leadership & PDL duties • Act as Discipline Project Lead (PDL) on assigned complex projects: perform technical and administrative PDL functions, • Proactively identify and report manhour and schedule variations due to scope changes; escalate to the Flow Assurance Coordinator and Chief of Subsea Systems, • Support the Flow Assurance Coordinator and Chief of Subsea Systems in preparing manhour estimates for new proposals, • Liaise with engineering disciplines throughout the project execution phase; coordinate and manage cross-discipline interfaces Standards, mentoring & continuous improvement • Ensure awareness of and compliance with international standards and codes applicable to Flow Assurance, • Advise on correct interpretation and application of company internal standards and HSEQ policies; develop new standards as required, • Mentor engineers within the Flow Assurance team; contribute to knowledge sharing and continuous improvement across the discipline, • Support technical and safety reviews: HAZOP, HAZID, risk assessments, design and safety reviews Key deliverables • Flow Assurance technical documentation delivered on schedule and to the required quality standard across all assigned project phases, • Contractor and FEED deliverables reviewed and approved within defined timescales, • Manhour estimates and variation forecasts provided accurately and proactively, • PDL functions performed rigorously across assigned complex projects, • Junior engineers mentored with structured guidance and discipline knowledge transfer Requirements Education • Degree in Engineering with graduate-level knowledge of thermodynamics and fluid dynamics — petroleum, chemical, mechanical, or related discipline Experience Must-have: • Extensive experience as a Flow Assurance Engineer across the full project development lifecycle — from concept development through FEED, detailed engineering, and handover to operations, • Proven capability in identifying, defining, and analysing complex multiphase hydrocarbon transportation schemes, • Experience performing technical review of Flow Assurance documentation produced by team members and contractors, • Experience with Technical Audit and Design & Safety Reviews — HAZOP, HAZID, Risk Assessment, • Ability to manage complex and diverse assignments with a high degree of independent technical judgement Nice-to-have: • Operational experience (commissioning, start-up, or production support), • Experience on CCUS projects — CO₂ transportation system assessment and thermo-hydraulic modelling Technical skills • Proficient with Flow Assurance simulation software: OLGA, PVTSim, Multiflash, Pipenet, Pipesim, Hysys, Unisim, • Familiarity with programming languages (Matlab, C++, Python) — an advantage, • Strong understanding of international codes and standards applicable to Flow Assurance and subsea systems, • Knowledge of HSE and technical risk integration into engineering and project solutions Soft skills • Strong technical leadership and engineering judgement — able to operate independently at senior level, • Effective communicator across disciplines, stakeholder levels, and cultures — both laterally and vertically within the organisation, • Collaborative and multidisciplinary approach to project delivery, • Structured task prioritisation and ability to manage concurrent workstreams under pressure, • Fluent English — mandatory

We're currently recruiting for a hands-on Project Engineer to lead the deployment and support of a vision-based real-time location system (RTLS), designed to enhance safety and productivity throughout the logistics industry, across customer sites in the UK. This role sits at the intersection of engineering, customer delivery, and technical support. You will work directly with customers to install, configure, and optimise cutting-edge camera-based systems, ensuring successful deployments and long-term performance. You will also act as a key technical contact for existing customers, helping to troubleshoot issues, deliver enhancements, and ensure a smooth user experience. The position offers broad exposure to advanced technologies including computer vision, AI-driven tracking systems, and industrial safety applications. You will work closely with internal engineering, product, and commercial teams, contributing directly to product improvement through real-world customer feedback. This is a highly varied, hands-on role with significant customer interaction, regular travel across the UK, and strong opportunities for professional development as the product and team continue to scale. Key Responsibilities • Lead the installation, configuration, and commissioning of RTLS solutions at customer locations., • Provide first-line technical support to existing customers, ensuring timely issue resolution., • Deliver remote monitoring and configuration, with regular on-site visits as required., • Support technical sales activities, including customer consultations and solution design., • Conduct product demonstrations at customer sites, events, and trade shows., • Collaborate with the sales team to prepare presentations, documentation, and proposals., • Work closely with customers, external partners, and internal teams to ensure successful project delivery., • Develop and maintain deep technical expertise in our camera-based, AI-powered RTLS platform., • Gather and communicate customer feedback to contribute to continuous product improvement. Skills & Qualifications • 2+ years of experience in a technical or engineering role., • Degree in Engineering or a related field., • Interest in technologies such as electronics, RF systems, computer vision, and safety applications., • Strong problem-solving and analytical skills., • Ability to work systematically, accurately, and independently., • Hands-on, flexible, and able to adapt in dynamic environments., • Proven ability to prioritize and manage multiple tasks/issues simultaneously., • Excellent communication skills, both verbal and written., • Fluent in English., • Valid driver’s license and willingness to travel regularly., • Experience with Linux and Python is a plus. The Offer: • Permanent employment contract, • Competitive yearly salary + benefits

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our team to meet that demand. The Role We're hiring an Engineering Manager to lead and grow one of our engineering teams. This is a people first role for someone who is genuinely excited about the craft of leadership. You will own the performance, growth, and culture of your team, working closely with Product and Lead Engineer to create an environment of genuine ownership and high autonomy. This role requires a strong engineering background, not to own the technical direction, but to earn credibility, ask the right questions, and know when to step in. What You’ll Be Doing • Own performance, development, and progression of your team, • Own the individual performance and development of your direct reports, setting a high bar, giving honest feedback, and creating conditions for engineers to grow into real ownership., • Build a self-organised team, initially playing a facilitating role in ceremonies, with the explicit goal of no longer being needed to run the process., • Partner with Product on roadmap planning, making sure engineers understand the context behind the work, not just the tickets in front of them., • Own your team's delivery, keeping engineers unblocked, priorities clear, and commitments met., • Spot patterns in how your team operates, design better ways of working, and build the automation that powers those improvements., • Stay close enough to the codebase to spot friction, improve developer tooling, and engage credibly in technical discussions, without stepping onto the critical path., • Drive hiring alongside our Recruitment team, contributing to interview process design, and a high-quality candidate experience., • Set the cultural expectation around AI coding tools, building team-wide norms for responsible, high-quality AI-assisted engineering. What We’re Looking For • Extensive experience in software engineering, with genuine hands-on technical experience. You know what good code looks like and can get into the details when it matters., • Proven experience as an Engineering Manager or Team Lead, with real ownership of individual performance and team culture., • A track record of building high-trust, high-autonomy teams, not teams that work because of you, but teams that work because of the environment you built., • Good understanding of Node.js or Python, and React. Enough to have credible technical conversations, review code, and debug issues alongside your team., • Experience with Agile/Scrum, and a track record of improving how teams deliver, not just following a process., • Genuine excitement about AI coding tools. You use them yourself, you help your team use them well, and you stay current on what's emerging., • You enjoy management and leadership problems. Growing and unblocking people, building the processes and frameworks that make the team better. These are things you actively want to do. Why Aveni • We're building AI systems for a sector where trust and safety genuinely matter and we take that seriously in how we engineer., • High-trust, high-autonomy culture: we give engineers real ownership and expect them to use it., • AI-native engineering culture. We use AI tools across the full software lifecycle and expect our engineering leaders to lead from the front., • High-growth fintech at an exciting moment. New products launching, the team scaling, and the chance to shape how engineering works at Aveni for years to come. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We’ve built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you’re passionate about technology and its ability to drive positive change for the future of financial services, we’d love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI. Benefits at Aveni. What you’ll love: • We’re a remote-first company across the UK, with regular off-sites and in-person gatherings that are always fun, motivating and team-focused., • Work abroad policy, • Co-working spaces available, • 34 days holiday (including flexible bank holidays) and your birthday off, • Company-wide off-sites, • Optional Personal Development Plan, • Flexible benefits platform, • Protection essentials including Life Insurance, Income Protection, Critical Illness cover, and Pension (up to 5% matched employer contribution with optional increased contributions), • Private health and dental care, • Potential share options, • Enhanced family leave

Job Title: Data Scientist/Machine Learning Engineer Location: UK Experience: 2–5 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies. Required Skills: • 2-4 years of experience in Data science/Machine learning models from coding to deployment., • Work with datasets using Python or R, SQL, No SQL., • Assist in developing predictive and statistical models, • Write and optimize queries using SQL., • Familiarity with data manipulation libraries (Pandas, NumPy), Understanding of statistics and probability., • Hands on experience in coding (mandatory python and SQL or C++)., • Understanding of Generative AI, Computer Vision cloud technology, NLP, Deep Learning., • Familiarity working with large data sets., • Project Management background preferred. Qualifications : • Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a leading provider of SaaS analytics solutions for cloud-based communication platforms, helping service providers and enterprises gain actionable insights from their telephony and collaboration data. Our solutions span Microsoft Teams, Cisco BroadWorks, Webex Calling, and CRM integrations — delivering real-time and historical analytics that improve customer experience and business performance. We are expanding our platform to include advanced AI capabilities — voice and chat assistants, intelligent analytics, and predictive insights — and are seeking an AI Engineer to define and deliver this vision. Job Summary & Purpose Own and drive Akixi’s AI and ML strategy — from concept and architecture through hands-on prototyping and deployment — to embed intelligence into Akixi’s products and analytics platforms. As the AI Engineer, you will define and execute Akixi’s AI roadmap, combining leadership of architecture and engineering practice with hands-on development of prototypes and production features. You’ll partner with Product, Data, and Platform Engineering to design and integrate AI-driven capabilities such as voice/chatbots, natural-language analytics, and predictive models. This role balances strategic technical direction with hands-on implementation, ensuring Akixi’s AI initiatives deliver tangible business and customer outcomes. Key Responsibilities • Lead the definition and delivery of Akixi’s AI strategy and technology roadmap., • Architect scalable AI solutions integrated into Akixi’s SaaS analytics platform., • Prototype, develop, and integrate AI-driven components such as chatbots, voice assistants, ML models, and LLM-based analytics., • Apply prompt engineering and model-tuning techniques to optimize chatbot and LLM behaviour., • Conduct research, proof-of-concepts, and feasibility studies for emerging AI technologies., • Collaborate with Product Management to scope AI features and align them with business goals., • Partner with Data Engineering to operationalize models, manage training data, and implement monitoring and retraining pipelines., • Work closely with Development, DevOps, and QA teams to ensure smooth CI/CD integration and deployment of AI components., • Establish standards for AI code quality, ethics, and data governance., • Mentor engineers working on AI-related projects, fostering technical excellence and innovation., • Evaluate external AI vendors, tools, and frameworks for adoption or integration., • Stay ahead of developments in AI/ML, LLMs, and applied analytics, translating trends into practical opportunities for Akixi. Required Skills & Experience • 4+ years in software engineering, with at least 2+ years focused on AI/ML or data-driven product development., • Proven expertise in developing and integrating AI solutions such as chatbots, voicebots, ML models, or LLM-based analytics., • Strong proficiency in Python (preferred) and/or JavaScript/TypeScript., • Hands-on experience with AI frameworks (e.g. TensorFlow, PyTorch and/or LangChain) and LLM APIs (e.g. Azure OpenAI, OpenAI API, Anthropic and/or AWS Bedrock)., • Experience with Microsoft Bot Framework, Dialogflow, or similar conversational-AI platforms., • Deep understanding of prompt engineering and fine-tuning of large language models., • Strong grounding in ML concepts — supervised, unsupervised, and reinforcement learning., • Familiarity with cloud AI/ML services (e.g. Azure Cognitive Services, AWS SageMaker, and/or GCP Vertex AI)., • Experience deploying and monitoring AI workloads in CI/CD environments (e.g. Jenkins, Docker, Kubernetes, and/or AWS)., • Ability to design data pipelines, APIs, and microservice integrations supporting AI features., • Excellent problem-solving, communication, and cross-team collaboration skills., • Proven ability to lead technically while remaining hands-on in design and coding. Advantageous Skills & Experience • Experience with call/contact-centre analytics, Microsoft Teams Graph API, or telephony platforms (e.g. BroadWorks, Webex Calling)., • Knowledge of data governance, model ethics, and MLOps practices., • Exposure to data visualization and predictive analytics for customer-experience metrics., • Advanced degree in AI, ML, Data Science, or related discipline. Why Akixi At Akixi, you’ll play a pivotal role in transforming how businesses understand and act on communication data. You’ll define and deliver the intelligence layer of a platform used by thousands worldwide — in an environment that values innovation, experimentation, and technical depth. We offer a collaborative culture, hybrid flexibility, and the opportunity to lead meaningful, high-impact AI initiatives from vision to production.

Wanted: Full Stack Engineer £45,000 - £55,000 (depending on experience) plus excellent benefits* Start date: ASAP Demand for Cervus’ products and services continues to grow across the Defence sector. We are looking for a motivated, curious, and technically minded Full Stack Engineer to help us scale our data and analytics capabilities across the UK and international markets. In this role, you will contribute to the design, development and maintenance of the data pipelines, platforms and services that power Cervus’ analytics. Working closely with experienced engineers, analysts, and delivery teams, you will help build customer focused, scalable, and innovative solutions that enable better decision making in defence. You will also be encouraged to leverage modern AI tools to accelerate high quality, sustainable development. As a Full Stack Engineer, you will: • Design, develop, automatically test and maintain full-stack web applications with a focus on data pipelines, analytics dashboards, and reporting tools., • Build scalable RESTful APIs and backend services using modern frameworks and languages (e.g. Python, Node.js, C++)., • Develop clean, responsive front-end interfaces using frameworks like Vue.js or React, to present complex datasets and user workflows., • Collaborate with data scientists and engineers to integrate ML models, ETL pipelines, and cloud-based data storage solutions., • Optimise system performance and reliability for high-volume data operations across distributed environments., • Implement secure, compliant and scalable data access layers, ensuring compliance with data privacy standards., • Contribute to system architecture, technical decisions, documentation and code reviews., • Maintain and improve CI/CD pipelines, advocating for best practices in testing, deployment and release management., • Rapidly prototype new features and tools, applying practical technical insight to test ideas and shape future products. We expect you to have: • Bachelor’s or master’s degree in computer science, engineering, or a related field preferred - or equivalent practical experience gained on the job instead., • Professional experience in full stack software development, ideally in a data-focused or product orientated environment., • Strong backend development experience (preferably with Python), particularly with structured and unstructured data (e.g. SQL, NoSQL, data lakes)., • Experience of working as part of a team to deliver software products., • Proficient in modern front-end technologies (HTML/CSS, JavaScript, React or similar)., • Experience working with containerised applications (e.g. Docker compose, Swarm or Kubernetes) in a Linux-based environment., • Solid understanding of RESTful API design, microservices architectures, and asynchronous workflows., • Familiarity with ETL processes, data warehousing and distributed systems., • Ability to obtain UK Security Clearance (SC). We’d love it if you also have: • Experience with data visualisation tools such as Apache Superset, Jupytr or Power BI, • Familiarity with visualisation libraries like D3.js, Chart.js or Plotly for building interactive dashboards., • Exposure to DevOps practices including TDD, CI/CD and infrastructure as code., • Experience of optimising systems for performance and scalability and reliability., • Understanding of machine learning workflows or MLOps for deploying and monitoring models in production., • Experience with cloud platforms, especially AWS and its data services (e.g., BigQuery, Redshift, Athena)., • Knowledge of network protocols and programming around HTTP(s), SSH, TCP and UDP, • Development experience within secure or classified environments particularly where compliance or restricted networks are a factor., • Experience of leveraging the power of the rapidly emerging AI agents without compromising on quality. Working location: This role will be primarily based at either our Bristol or Westbury offices for approximately 1 • 2 days per week. It operates within a flexible hybrid working model, with the option for regular home working. The role will also involve travel within the UK and overseas. Why join Cervus? Cervus is a performance analytics and technology company helping defence and security organisations make better decisions, faster. Based in the southwest UK with offices in Bristol and Westbury, we value hybrid working, curiosity, collaboration, and continuous improvement. Joining us means contributing to meaningful, high-impact projects, working with talented colleagues, and helping shape the future of data-driven capability development. This role typically involves 1 –2 days per week in the office and travel within the UK and overseas. How to apply We’re committed to fostering an inclusive workplace where everyone can thrive. We welcome applications from candidates with disabilities and will provide reasonable adjustments during the recruitment process and in the workplace. If you have questions about the role or require any adjustments, please contact . Interviews will take place from March 2026.

We’re looking for a highly skilled Lead Data Engineer to provide technical leadership across data engineering, delivery execution and project governance. This role ensures development standards are upheld while delivering high‑quality, reliable solutions on time and within budget. It’s suited to someone highly organised, confident and an excellent communicator, with the ability to engage stakeholders at all levels across Development and IT Change. As Lead Data Engineer, you’ll interpret detailed technical requirements and deliverables across multiple projects, acting as a subject‑matter expert in data‑engineering technologies and contributing to effective solution design. You’ll mentor, support and guide developers to help them grow and deliver successfully, while balancing your involvement across various initiatives to provide direction, technical leadership and oversight wherever it’s needed. Skills & Experience • Strong consultancy background across ETL/ELT, data warehousing and big‑data solutions, with hands‑on delivery experience and proven leadership/mentoring in an onshore–offshore model., • Proficiency with ETL tools and cloud data services (AWS preferred — e.g., Glue; with exposure to Azure Data Factory), plus experience implementing CI/CD for data; knowledge of Informatica tools is beneficial., • Experience working with major databases such as Postgres, Redshift, Oracle, SQL Server or Snowflake, along with strong SQL capability and working knowledge of Python/PySpark., • Ability to synthesise complex business and technical inputs into practical, scalable data‑engineering patterns including ETL/ELT pipelines, event‑driven ingestion and data‑quality frameworks., • Confidence in constructively challenging solution approaches to improve performance, security and reliability.

📍 Location: Bristol, UK — predominantly in-house 💼 Employment: Full-Time, Permanent 💰 Salary: £65,000 – £80,000+ 📈 Experience: 4+ years operating on AWS with meaningful DevOps ownership About Us Narwhal Labs is a fast-growing tech start-up based in Bristol. We are building an AI communications platform at scale, and our engineering team is central to everything we do. We are looking for a Senior Fullstack Engineer who thrives on ownership, enjoys building reliable systems and wants to help shape the architecture of a product used by real customers in production. The Role: We are looking for a Senior Fullstack Engineer to own our microservices platform on AWS. You will build reliable, multi-tenant services and a first-class integration layer spanning messaging, outreach, CRM, billing, analytics and payment systems that powers a SaaS product at scale. This is an office-based role and candidates must be located in or within commutable distance of Bristol. Responsibilities: • Design and build microservices behind API Gateway (REST/HTTP), running on Lambda and containerised workloads on EC2/Fargate, • Model multi-tenant data across DynamoDB and RDS (PostgreSQL), using S3 for object storage and KMS for secrets and encryption, • Build and maintain an integrations layer including OAuth/API-key onboarding, webhook ingestion with idempotency, retries and DLQs, rate-limit mediation, circuit breakers and versioned connector contracts, • Integrate with third-party platforms and payment systems, ensuring secure, reliable and scalable flows for transactions, billing and data exchange, • Design and implement event-driven architecture by publishing and consuming domain events via SQS, SNS and EventBridge, using Step Functions where orchestration is needed, • Maintain observability and reliability through structured logging, metrics and alerts with CloudWatch, trace propagation and error budgets, • Apply security best practices including least-privilege IAM, secret rotation, per-tenant isolation and audit logs, • Define infrastructure as code using AWS SAM and ship via GitHub Actions with automated tests and canary/blue-green deployments, • Define clear API contracts with frontend and AI services, and document runbooks and postmortems Requirements: • 4+ years operating on AWS with meaningful DevOps ownership — you have shipped and run production systems, • Hands-on experience with Lambda, EC2/Fargate, API Gateway, S3, DynamoDB, RDS (PostgreSQL), SQS/SNS/EventBridge, CloudWatch and KMS, • Infrastructure as code experience with AWS SAM including templates, pipelines and parameterised stacks, • CI/CD experience with GitHub Actions and automated testing using tools such as Jest/Vitest, Postman/Newman or Pact, • Strong backend development in Node.js/TypeScript (Go or Python also welcome) and solid API design skills across REST, with GraphQL a plus, • Strong data modelling skills including NoSQL vs relational trade-offs, partitioning, indexing and migration strategies, • Proven experience building and consuming webhook-heavy third-party integrations with idempotency and signature verification, • Experience integrating with payment gateways such as Stripe, Adyen or Braintree and handling PCI/DSS-compliant transaction flows Nice to have: • Event choreography with Step Functions, schema registries and outbox patterns, • OpenTelemetry/X-Ray tracing and cost and performance tuning for Lambda and RDS, • Experience with Cognito/OIDC, RBAC/ABAC and multi-tenant isolation patterns, • Familiarity with real-time delivery via WebSockets or SSE and streaming responses, • Background in building connector SDKs or integration marketplaces

Location: Glasgow or UK Employment Type: Full Time, Hybrid or Remote (Depending on Location) Reference Number: TBH48 About Us IES is a global climate tech company delivering world‑leading, physics‑based software and solutions that empower designers, engineers, and operators to create and maintain energy‑efficient buildings. With over 30 years of innovation, we are recognised as a leader in integrated performance‑based analysis and home to the most advanced building physics analytics team in the world. Our software solutions and expert consultancy services support the design, retrofit, and operation of more efficient, comfortable, and sustainable buildings. Our Research and Innovation team ensures our technology and industry expertise remain best‑in‑class and at the forefront of innovation. The Role We are seeking an experienced DevOps Engineer to join our growing Glasgow‑based team. Working closely with Product, Software Development, QA, and IT, you will support the design, implementation, and optimisation of CI/CD pipelines and DevOps platforms. This role is critical to enabling reliable, secure, and scalable software delivery across IES. You will maintain and improve DevOps tooling, manage build agents using GitOps practices, support cloud deployments (primarily in Azure), and promote DevOps culture and continuous improvement across the organisation. What You’ll Do • Maintain and administer DevOps tools, ensuring they remain up to date, reliable, and fully operational, • Design, implement, and optimise CI/CD pipelines using Azure Pipelines, • Build and manage build agents supporting build and release processes, following GitOps practices, • Develop automation solutions using appropriate scripting languages and tools to reduce manual effort, • Support cloud deployments and day‑to‑day cloud operations, primarily within Azure, • Produce and maintain documentation covering DevOps tools, build agents, CI/CD pipelines, and cloud operations, • Identify and recommend opportunities for continuous improvement within the DevOps function, • Promote DevOps culture, principles, and best practices across engineering and delivery teams, • Collaborate closely with cross‑functional stakeholders to support efficient and high‑quality software delivery Essential Skills & Experience • Degree in a relevant field or equivalent professional experience, • 3+ years’ experience in a DevOps or similar role, • Proven experience implementing CI/CD pipelines using Azure DevOps, • Experience maintaining and administering DevOps tools (e.g. Azure DevOps), • Strong proficiency with Git and source control practices, • Strong scripting and automation skills (e.g. PowerShell, Bash, YAML, Python), • Experience with configuration management tools (e.g. Ansible), • Hands‑on experience with cloud technologies, preferably Microsoft Azure, • Strong analytical and problem‑solving skills, • Ability to work both independently and collaboratively within cross‑functional teams Desirable • Experience working in Agile environments (e.g. Scrum), • Exposure to containerisation and virtualisation technologies (e.g. Docker, Kubernetes), • Experience supporting scalable, cloud‑based platforms and services, • Strong documentation and communication skills Why Join Us • Build and operate platforms that directly enable real‑world climate impact through energy‑efficient buildings., • Own and shape critical CI/CD pipelines and cloud infrastructure in a fast‑growing, mission‑driven climate tech company., • Work with modern DevOps tooling and cloud technologies, with real responsibility and influence over engineering outcomes., • Collaborate with highly skilled teams across Product, Software Engineering, QA, and IT in a culture that values DevOps excellence., • Flexible working, and the opportunity to grow your career while doing meaningful work. How to Apply Send a cover letter detailing your relevant skills and an up‑to‑date CV to . Please include the job title and reference number in your application. Early applications are encouraged as this vacancy may close once sufficient applications are received. Our Commitment to Inclusion IES is committed to an inclusive workplace and welcomes applications from all backgrounds, even if you don’t meet every requirement listed. We can provide reasonable adjustments throughout the recruitment process, for example, sharing interview questions in advance, allowing breaks between stages, or offering extra time where needed. If you require support at any point, please contact the IES HR team at or 0141 945 8500. Candidate information is handled in line with GDPR; please see our ___

Location • Remote, but requirement to meet up once a month for in-person collaboration day, • UK based About Akixi Akixi is a fast-growing SaaS analytics company delivering real-time and historical insights for cloud-based communication platforms, including Microsoft Teams, Cisco BroadWorks, and Webex Calling. Our analytics help businesses enhance customer experience, optimize productivity, and drive performance across voice and collaboration channels. Job Summary We are seeking a Senior Platform Engineer with a deep understanding of AWS cloud infrastructure, Infrastructure-as-Code (IaC) tooling such as Terraform, and configuration management using Ansible. The ideal candidate will be a self-starter, passionate about Site Reliability Engineering (SRE) principles, and thrive in collaborative environments. You will play a pivotal role in automating infrastructure, improving reliability and scalability, and ensuring smooth CI/CD pipelines across multiple environments. You'll work closely with software engineering, and security teams to drive platform excellence. Key Responsibilities • Design, build, and manage scalable, secure, and resilient infrastructure on AWS using Terraform (modularized, reusable components)., • Implement configuration management solutions using Ansible, including playbook development, inventory structuring, and role-based automation., • Manage secrets securely using services such as AWS Secrets Manager or HashiCorp Vault., • Implement robust monitoring, alerting, and observability tooling (e.g., CloudWatch, Prometheus, Grafana, Datadog)., • Participate in incident response, root cause analysis, and resilience improvements., • Maintain and evolve CI/CD pipelines using tools such as GitHub Actions, Bitbucket Pipelines, or Jenkins., • Automate deployments for container-based workloads on ECS (Fargate), or Lambda, and manage supporting infrastructure., • Collaborate with development teams to optimize build/deploy cycles and reduce lead time for changes., • Ensure security best practices are embedded into infrastructure provisioning and pipeline execution., • Support compliance and auditing by implementing guardrails and controls as code (e.g., AWS Config, SCPs, IAM policy management)., • Some OOH work is required to maintain the production systems and also will be part of OOH critical ticket rota. Required Skills & Experience • 5+ years in DevOps, SRE, or Cloud Engineering roles., • Expertise in AWS core services: EC2, IAM, VPC, ECS/Fargate, CloudFormation, CloudWatch, RDS, DynamoDB, S3, Lambda., • Strong proficiency in Terraform (HCL) – including workspaces, modules, and Terraform Cloud or similar., • Ansible experience – developing roles, dynamic inventories, managing remote configurations., • Strong scripting knowledge (Bash, Python, or Go)., • Experience with container orchestration and deployment (Docker, ECS, or Kubernetes)., • Proficient with GitOps or IaC-based workflows., • Familiarity with Google SRE practices, particularly around reliability, observability, and operational excellence., • Understanding of systems reliability metrics and associated tooling Soft Skills & Behaviours • Self-driven with a bias toward action and ownership., • Excellent communicator, able to collaborate across disciplines and levels of technical understanding., • Experience working as part of a cross-functional team., • Comfortable working in agile environments (Scrum/Kanban).

Senior Software Engineer (Backend) – London, Hybrid (2 days/week) – £80,000-£90,000 plus Benefits – High Growth Startup We’re partnering with a fast-growing healthtech company on a mission to transform primary care. Their platform supports hundreds of practices and millions of patients across Europe, helping teams spot risk earlier, act faster, and deliver care efficiently. They’re looking for a Senior Backend Engineer who enjoys taking ownership of complex problems while helping guide a small team of engineers. This role is primarily hands-on, building and scaling backend systems, while also supporting the growth and delivery of a squad of engineers working on high-impact healthcare technology. A a Senior Software Engineer you will 👇 Build and scale backend systems: Design, develop, and maintain reliable services powering a platform used by healthcare providers across Europe. Lead a small engineering squad: Work closely with a team of four engineers, providing technical guidance and helping drive delivery while remaining hands-on in the code. Shape technical direction: Contribute to architectural decisions, ensuring systems are scalable, secure, and able to support growth across multiple countries. Collaborate cross-functionally: Partner closely with Product, Design, and Data teams to solve meaningful problems and deliver impactful solutions. Improve engineering practices: Help introduce and maintain best practices across testing, deployment, and observability. Own delivery: Ensure work moves forward at pace while maintaining high standards for reliability and performance. What You Bring ✅ Strong backend engineering experience, ideally within high-growth startups or scale-ups. Expertise in Python, with some experience or exposure to Node.js. Experience working with cloud environments (AWS preferred), distributed systems, and infrastructure as code. A product mindset – you care about solving meaningful problems, not just writing code. Experience mentoring or guiding other engineers, even if you haven’t formally managed people. Comfortable balancing speed with quality in a fast-moving environment. Healthtech experience is a strong plus, but not essential. What They Offer ✨ £180-90k salary + equity package Hybrid working: London office 2 days/week Flexibility and independence to grow as the company does Private pension, generous leave policies, and a supportive environment Opportunity to build impactful technology used by millions of patients across Europe

About Plessey We’re building the hardware foundation for next-era computing. Plessey is a world-leading technology company driving the next generation of photonic devices and systems. With over 70 years of innovation, we combine research, materials science, process engineering, and manufacturing under one roof. We’re recognised as a global authority in microLED displays, optical computing, and optical interconnects. Join us to work on breakthrough technologies shaping the future of light-based technology and computing. Lead We don’t follow industry trends; we create them, pushing boundaries and setting standards others aspire to. Every team member has the power to make decisions, drive change, and deliver excellence. We support each other, challenge one another for the best solutions, and lead by example. Together, we build industries and technologies that shape the future and scale toward our vision of the next era of computing. Grow We expand our capabilities every day — deepening our expertise, improving how we work, and pushing the boundaries of what’s possible. Curiosity fuels us: we question assumptions, explore new ideas, and innovate with light-based technologies. By investing in and empowering our people, we strengthen Plessey’s impact and help shape the future of optical technology. Trust We operate like a family—honest, reliable, and supportive. We have each other’s backs, own our actions, and uphold the highest standards of integrity and safety. We trust each other to deliver, our customers to challenge us, and our expertise to guide the way. Together, trust enables the collaboration essential for breakthrough innovation and lasting impact. Location Located at our head office and state-of-the-art fabrication facility in Plymouth. About the Role We are looking for a Senior Software Engineer to support the development of automated reliability and characterisation test systems for MicroLED devices. The role combines test software development, instrument control, and data analysis, supporting both the execution of reliability campaigns and the analysis of device performance and degradation. The engineer will work closely with hardware engineers and test engineers to develop software tools that control laboratory equipment, automate test procedures, and analyse large datasets generated during device testing. Key Responsibilities • Develop and maintain automated test software for reliability and characterisation systems., • Interface with laboratory instruments and test hardware using LabVIEW, C++, and Python., • Support the execution of device reliability campaigns and engineering experiments., • Develop tools for data collection, processing, and analysis., • Work with engineering teams to interpret results and identify device behaviour trends., • Contribute to improving the automation and robustness of internal test platforms. Skills, Knowledge and Expertise • Master’s degree in Physics, Electronic Engineering, or a related discipline., • Proficiency in LabVIEW and C++., • Working knowledge of Python for data processing and analysis., • Hands-on experience with communication protocols such as SPI and I²C., • Experience working with laboratory bench instruments such as power supply units (PSUs), oscilloscopes, pattern generators and multimeters., • Strong analytical mindset with attention to detail., • Ability to work independently with minimal supervision. Advantage • Experience with NI TestStand for automated test environments., • Background or practical experience in semiconductor device testing., • Experience analysing large datasets and developing mathematical models for device behaviour and degradation., • Familiarity with reliability testing methodologies (e.g., lifetime or stress testing).

About Plessey We’re building the hardware foundation for next-era computing. Plessey is a world-leading technology company driving the next generation of photonic devices and systems. With over 70 years of innovation, we combine research, materials science, process engineering, and manufacturing under one roof. We’re recognised as a global authority in microLED displays, optical computing, and optical interconnects. Join us to work on breakthrough technologies shaping the future of light-based technology and computing. Lead We don’t follow industry trends; we create them, pushing boundaries and setting standards others aspire to. Every team member has the power to make decisions, drive change, and deliver excellence. We support each other, challenge one another for the best solutions, and lead by example. Together, we build industries and technologies that shape the future and scale toward our vision of the next era of computing. Grow We expand our capabilities every day — deepening our expertise, improving how we work, and pushing the boundaries of what’s possible. Curiosity fuels us: we question assumptions, explore new ideas, and innovate with light-based technologies. By investing in and empowering our people, we strengthen Plessey’s impact and help shape the future of optical technology. Trust We operate like a family—honest, reliable, and supportive. We have each other’s backs, own our actions, and uphold the highest standards of integrity and safety. We trust each other to deliver, our customers to challenge us, and our expertise to guide the way. Together, trust enables the collaboration essential for breakthrough innovation and lasting impact. Location Located at our head office and state-of-the-art fabrication facility in Plymouth. About the Role We are looking for an experienced Test Development Engineer to join our team. In this role, you will work with advanced test equipment, helping to develop and improve innovative testing solutions. If you are passionate about test development, enjoy solving complex problems, and want to work with cutting-edge technology, we would love to hear from you. Key Responsibilities • Implement and maintain digital and mixed-signal test solutions., • Specify hardware required for testing such as probecards, interface boards etc., • Develop and optimise test programs for complex devices using Teradyne Ultraflex., • Perform test program, Test HW characterization over temperature (Ex. Shmoo analysis), GRR, Correlation, setup calibration and product qualification., • Drive and perform the Repeatability and Reproducibility Studies which are necessary to transfer a test solution from an in-house development site or from other development sites to a full manufacturing high volume setup., • Define and release procedures for all aspects of test program development (e.g. test program release, test coding guidelines etc)., • Release and support test programs for production., • Collaborate with key stakeholders to ensure on time delivery test coverage and quality., • Work with stakeholders to identify and implement test process improvements. Skills, Knowledge and Expertise • Significant experience in test development within mixed-signal environments, encompassing both analog and digital system validation., • Strong programming skills ( VBA, Python)., • Understanding of digital and analog test principles., • Problem-solving and analytical skills., • Experience with GRR and test program release processes including data analysis software (eg. JMP, Examinator). Advantage • Mixed-signal testing expertises., • Experience with Teradyne Ultraflex., • uLED and /or display panel testing expertise., • Knowledge of Teradyne IRIS100S systems., • Knowledge of semiconductor manufacturing and test flows., • Knowledge of TEL probers., • Expertise with test program control such as git.

Aventa is seeking, on behalf of our client—a leading developer in the offshore renewable energy sector—a Electrical Design Engineer to join their Engineering Department. This role offers a unique opportunity to work alongside a team of skilled engineers contributing to one of the most significant offshore wind developments in the region. Role Objective • We are seeking a proactive, flexible consultant to support offshore wind farm projects in our client portfolio. You will deliver high-quality power system studies primarily in PSS/E (RMS/steady-state), and PSCAD (EMT), collaborate effectively with cross-functional teams, and adapt to evolving project priorities and workloads. Key Responsibilities • You will support projects at various phases (development, design, execution, and operation) by conducting studies and providing grid-connection support. Scope includes:, • Develop, integrate, and validate EMT and RMS models for relevant assets (e.g., WTG, plant controller/PPC, HVAC/HVDC interfaces, STATCOM/SVC as applicable)., • Plan and execute grid compliance and design studies in PSS/E (load flow, short circuit where applicable, dynamic RMS performance, contingencies, sensitivity studies)., • Plan and execute EMT studies in PSCAD (faults and disturbances, control interactions, protection-related phenomena, insulation coordination, energization, converter/control performance, harmonic/transient behaviour as relevant)., • Work with vendor/OEM models: coordinate provisioning, model validation, parameterisation, updates, version control, and fit-for-purpose application in studies., • Produce clear, audit-ready documentation for internal review and external submission (e.g., grid code evidence packs, study reports, model validation notes, assumptions and limitations)., • Summarise findings and recommend mitigations, ensuring technical quality aligned with Ørsted methodologies and QA processes across multiple projects and stakeholders. Requirements: • Degree in Electrical/Power Systems Engineering (BEng/MSc/PhD) or equivalent experience., • Minimum 5 years’ hands-on experience with PSCAD for EMT studies (including relevant add-ons/modules and analysis workflows)., • Strong, proven experience with PSS/E covering steady-state and RMS dynamic analyses for grid compliance and design work., • Demonstrated experience working with vendor-supplied models (confidential models, black-box components) and parameterisation for compliance evidence., • Scripting/automation skills for study execution and post-processing (e.g., Python for PSS®E, MATLAB/Python for result handling; tooling to improve repeatability and QA)., • Experience coordinating with OEMs for model delivery, validation, and updates; strong data confidentiality practices., • Strong communication skills, able to produce concise technical reports and stakeholder-ready material., • Ability to work independently while following Client established methodologies, documentation standards, and QA processes., • Strong interpersonal skills and good ability to engage and work in and as part of a team. Resources Provided • Client will supply a laptop and all necessary software licenses and access (including PSS/E and PSCAD as required). Engagement Terms • No additional certifications required., • No travel required; the role is fully remote., • Contract basis, billed per hour or per day, • Flexible allocation subject to project demands and priorities.

Metric have partnered with a leading quantum technology company developing next-generation computing systems. They’re hiring a Quantum Software Engineer to turn cutting-edge quantum research into practical, executable software. Location - London, UK (Hybrid or Remote) You’ll design and implement quantum algorithms across simulation, optimisation, and hybrid quantum-classical workflows, working closely with hardware and compiler teams to ensure efficient performance on real devices. RESPONSIBILITIES: • Develop and optimise quantum algorithms and applications, • Build scalable, production-grade quantum software, • Collaborate with cross-functional teams (hardware, research, engineering), • Deploy and improve software on cloud-based platforms, • Support users and contribute to technical projects REQUIREMENTS: • Master’s degree in a relevant field, • Strong Python and software engineering skills, • Experience with quantum frameworks (e.g. Cirq, Qiskit), • Ability to work in collaborative, fast-paced environments DESIRABLE: • PhD in a related field, • Knowledge of quantum computing concepts (e.g. error correction, VQAs), • Experience with cloud, backend systems, or CI/CD tools If this sounds like you... apply today!

About Quantiphi: • Quantiphi is an award-winning, AI-First digital engineering and consulting company focused on delivering high-impact Services and Solutions that help organizations solve what truly matters. We partner with enterprises to reimagine their businesses through intelligent, scalable, and transformative AI—driving measurable outcomes at the very core of their operations., • Since our founding in 2013, Quantiphi has tackled some of the world’s most complex business challenges by combining deep industry expertise, disciplined cloud and data engineering practices, and cutting-edge applied AI research. Our work is rooted in delivering accelerated, quantifiable business value—not just technology for technology’s sake., • Headquartered in Boston, Quantiphi is a global organization with 4,000+ professionals serving clients across key industry verticals, including BFSI, Healthcare & Life Sciences, CPG, MFG, TME etc. As an Elite and Premier partner to leading cloud and AI platforms such as NVIDIA, Google Cloud, AWS, and Snowflake, we build and deliver enterprise-grade AI services and solutions that create real-world impact. We have been recognized with: • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • Recognized Leaders by Gartner, Forrester, IDC, ISG, Everest Group and other leading analyst and independent research firms., • We offer first-in-class industry solutions across Healthcare, Financial Services, Consumer Goods, Manufacturing, and more, powered by cutting-edge Generative AI and Agentic AI accelerators., • We have been certified as a Great Place to Work for the third year in a row- 2021, 2022, 2023. Be part of a trailblazing team that’s shaping the future of AI, ML, and cloud innovation. Your next big opportunity starts here! For more details, visit: ___ or ___. Role: MLOps Architect - AWS Experience Level: 8+ years Employment type: Full Time Location: Remote (UK) Description: • We are seeking an experienced MLOps/AIOps Architect who can drive end-to-end implementation of MLOps strategy and also contribute broadly across other enterprise AI/ML programs. This role demands a strong architectural mindset, hands-on technical depth, and the ability to design scalable, cloud-native machine learning operations across traditional ML and modern LLM workflows., • The ideal candidate will bring experience with SageMaker-based MLOps pipelines, evaluation of equivalent tooling stacks, hybrid MLOps/LLMOps automation, CI/CD orchestration, governance, monitoring, automation and production-grade scalability patterns. Key Responsibilities: • Architect and implement the MLOps strategy for the programme, ensuring alignment with the project proposal and delivery roadmap., • Design and own enterprise-grade ML/LLM pipelines covering model training, validation, deployment, versioning, monitoring, and CI/CD automation., • Build container-oriented ML platforms (EKS-first) while evaluating alternative orchestration tools with similar capabilities (Kubeflow, SageMaker, MLflow, Airflow, etc.)., • Implement hybrid MLOps + LLMOps workflows, including prompt/version governance, evaluation frameworks, and monitoring for LLM-based systems., • Serve as a technical authority across multiple internal and customer projects, contributing architectural patterns, best practices, and reusable frameworks., • Enable observability, monitoring, drift detection, lineage tracking, and auditability across ML/LLM systems., • Define and implement standards for model deployment, monitoring, governance, and automation to ensure production-grade reliability and scalability., • Collaborate with cross-functional teams — data engineering, platform, DevOps, and client stakeholders — to deliver production-ready ML solutions., • Ensure all solutions adhere to security, governance, and compliance expectations, particularly around handling cloud services, Kubernetes workloads, and MLOps tools., • Conduct architecture reviews, troubleshoot complex ML system issues, and guide teams through implementation across cloud-native ML platforms., • Mentor engineers and provide guidance on modern MLOps tools, platform capabilities, and best practices. Skills: • Expierence working in ML/AI engineering or MLOps roles with strong architecture exposure., • Strong experience in leading enterprise grade MLOps strategy and its execution., • Proven experience in implementing the adoption of enterprise-grade MLOps platforms with client data science teams., • Proven leadership in defining and executing enterprise MLOps strategy., • Demonstrated success in driving the adoption of enterprise-grade MLOps platforms with client data science teams., • Strong expertise in AWS cloud-native ML stack, including: SageMaker(primary), EKS, Lambda, API Gateway, CI/CD (CodeBuild/CodePipeline or equivalent)., • Hands-on experience with at least one major MLOps toolset and awareness of alternatives: MLflow, Kubeflow, SageMaker Pipelines, Airflow, BentoML, KServe, Seldon., • Deep understanding of model lifecycle management (feature engineering->training → registry → deployment → monitoring)., • Experience implementing or supporting LLMOps pipelines, including: prompt versioning, evaluation metrics, automation frameworks., • Deep understanding of ML lifecycle: data ingestion, feature engineering, training, evaluation, model packaging, CI/CD, drift detection, monitoring, and governance., • Strong experience with AWS SageMaker (Pipelines, Feature Store, Model Registry, Model Monitor)., • Experience implementing ML CI/CD pipelines including automated training, testing, validation, model promotion, and endpoint deployment., • Experience working on Infrastructure as Code (IaC) tools and CI/CD pipelines., • Experience with Kubernetes based development., • Experience with feature engineering pipelines and Feature Store management., • Understanding of lineage tracking: training data snapshot, feature versions, code versioning, metadata tracking, reproducibility., • Hands-on experience with AWS Bedrock and Agentcore service., • Experience with CloudWatch, SageMaker Model Monitor, Prometheus/Grafana., • Strong foundation in Python and cloud-native development patterns., • Solid understanding of security best practices, IAM, secrets management, and artifact governance. Nice to have: • Experience with vector databases, RAG pipelines, or multi-agent AI systems., • Exposure to DevOps and infrastructure-as-code (Terraform, Helm, CDK)., • Hands-on understanding of model drift detection, A/B testing, canary rollouts, and blue-green deployments., • Familiarity with Observability stacks (Prometheus, Grafana, CloudWatch, OpenTelemetry)., • SQL and data transformation experience using Snowflake, Databricks, Spark., • Ability to translate business goals into scalable AI/ML platform designs., • Strong communication and cross-team collaboration skills., • Ability to guide engineering teams through technical uncertainty and design choices. What is in it for you: • Make an impact at one of the world’s fastest-growing AI-first digital engineering companies., • Upskill and discover your potential as you solve complex challenges in cutting-edge areas of technology alongside passionate, talented colleagues., • Work where innovation happens - work with disruptive innovators in a research-focused organization with 60+ patents filed across various disciplines., • Stay ahead of the curve—immerse yourself in breakthrough AI, ML, data, and cloud technologies and gain exposure working with Fortune 500 companies.

Senior Cloud Engineer Location: London / Manchester / Leeds (Hybrid) Function: Cloud Engineering / DevOps Salary: Up to £70,000 + bonus + comprehensive benefits About the Role Our client is a major UK digital, cyber and intelligence organisation delivering secure technology solutions across National Security and critical infrastructure programmes. With thousands of specialists operating globally, they design and build resilient, high-assurance systems in some of the most demanding environments in the country. Due to sustained growth across National Security accounts, they are hiring Senior Cloud Engineers to join their Gloucester team. This is not a generic cloud role. You will be working on secure government and critical systems where reliability, resilience and security are essential. You will operate within multi-disciplinary engineering teams, shaping cloud-native solutions that directly support nationally significant programmes. What You’ll Be Doing • Designing and building secure, cloud-native architectures in AWS, • Deploying infrastructure using Terraform, CDK or CloudFormation, • Creating and managing scalable infrastructure environments, • Implementing configuration management using tools such as Puppet, Chef or Ansible, • Building and managing containerised environments using Kubernetes, ECS or OpenShift, • Applying AWS security best practices and embedding secure-by-design principles, • Managing source control and software configuration across projects, • Engaging with internal and external stakeholders, • Leading teams or mentoring engineers at Senior level This is hands-on engineering. You will be expected to design, build and improve cloud platforms rather than simply maintain them. Ideal Background You should be able to demonstrate: • Strong experience across AWS services and modern cloud patterns, • Infrastructure as Code expertise, such as Terraform, CDK or CloudFormation, • Configuration management experience, • Solid networking fundamentals and understanding of software-defined networking, • Container orchestration experience, • Scripting capability in at least one language such as Python, Bash or Go, • AWS certifications are desirable but not essential The environment rewards engineers who stay current with new AWS releases and evolving best practice. What You’ll Receive • Salary up to £70,000, • Annual bonus, • DV Bonus - £7,000 annually, tax-free, paid quarterly, • 25 days holiday with buy/sell options, • Private medical and dental cover, • Competitive pension, • Flexible benefits package, • Hybrid and flexible working arrangements, • Structured career development with a dedicated career manager, • Funded training and certification support Senior Engineers are supported to progress into technical leadership or architecture pathways. Security & Eligibility Due to the nature of the work, you must: • Have permanent and unrestricted right to work in the UK, • Be eligible for Government DV clearance This role sits within National Security and critical infrastructure programmes. Clearance is mandatory. Who Should Apply This role suits experienced AWS Cloud Engineers who want to work on secure, high-impact systems rather than standard commercial platforms. If you value engineering discipline, structured delivery and exposure to nationally significant programmes, this warrants a conversation. If you would like further detail on the projects, team structure or clearance process, get in touch directly.

Are you an experienced data professional looking for your next challenge? We need you! We need someone who can ensure our technical delivery to our clients is always high-quality and support our tech team in their day-to-day roles. This role will be a great fit if you are an experienced data architect, or other tech lead in the world of data; someone who has been hands-on in the past, and is all over general tech best-practice, but can also see the big picture. This is not an entry-level position and is not a primarily hands-on technical role. We’re growing our business, and growing our team in the UK…are you our next recruit? We’re DATA3 We’re award-winning global data + AI consultants + builders. We power our clients’ growth using data + AI. We review, select, set up + support all of their organisation’s data + AI tools. We work with UK and global clients across all sectors. We were born in 2017, we have ambitious growth plans and we’re growing every day. We need your help to grow our business even further. What you’ll do… § Ensure our technical delivery to clients is fit-for-purpose (e.g. scalable, maintainable, secure, affordable) § Develop our internal processes/frameworks/ways of working to improve our quality and speed of delivery to clients § Own and administer our internal technologies and systems (e.g. Azure, AWS, Confluence, GitHub, GenAI tools) § Identify the tech skills we need in our delivery team and manage the hiring of relevant roles, including shaping and delivering technical interviews § Design technical solutions for DATA3 and our clients, and review tech solutions that others have proposed § Support and mentor members of the tech team, helping them solve technical challenges and contribute to their personal development § Work closely with the leadership team at DATA3, and guide our internal tech strategy (e.g. recommendations on tech tools) § Help ensure that our client projects are delivered in full, in spec + on time What we need from you… § Experience with as much of the tech we work with most often: o Cloud platforms: Azure, AWS o Data platforms: Databricks, Snowflake, Fabric o BI & viz: Power BI, Tableau o Gen AI: ChatGPT, Copilot, Gemini o Apps: Power Platform o Source control & CI/CD: GitHub, Azure DevOps o Infrastructure as code: Terraform o Code: SQL, Python § Significant experience with cloud platforms: you will ensure our internal Azure environment is set up optimally, as well as support the design of cloud infrastructure for our clients § A deep grounding in data: for example, you should have experience of translating business data and requirements to analytical data models (e.g. Kimball dimensional modelling) § A broad understanding of data and AI: across data engineering, data visualisation, generative AI and automation § Experience leading teams: you need to be able to hire the right people for our tech team, as well as support and guide the team § Great communication skills: able to work effectively with both developers and senior leaders, and explain tech to non-technical people § Strong awareness of security approaches for data and AI solutions: our clients may have highly sensitive data and/or strict regulatory requirements § Good working knowledge of software best-practice: you will be responsible for ensuring our development standards are defined and met, especially in the age of AI-assisted development § The courage to challenge others in an honest and constructive way, to ensure the best outcomes for the business, our clients and individual members of the tech team § Excellent collaboration, interpersonal, written, listening & verbal communication skills § Proven experience winning the trust and confidence of a variety of stakeholders at all levels § Creative mindset and the ability to come up with new ideas and alternative ways of doing things § The right attitude to work in a small, growing business with a desire to help us improve the way we do things We're open to alternative working models...from fractional roles to part-time to side-hustles...if you're talented, we're flexible. This is NOT an entry-level role…we need someone who has made loads of mistakes, so that they can share their experiences with others. So, if this is a 1st or 2nd role for you, please don’t apply. This might not be the role for you…if you want to be heavily hands-on with development or if you'd be uncomfortable in a fast-paced environment. Our DATA3 offer For the right candidate, we offer a super exciting role in a fast-growing global data lab… · Want variety? You got it - we work across multiple tech, clients, sectors + locations · Want training? You got it - we love developing people + nurturing talent · Want time out? You got it - we offer 30 days holiday per year · Want flexibility? You got it - we love flexible working · Want diversity & inclusion? You got it - we believe that diverse + inclusive businesses are far more successful and better places to work · Want free stuff? You got it – our offices provide free drinks, tea, coffee + more… plus you’ll be invited to join our employee benefits scheme…and you’ll receive DATA3 branded merchandise too…yay! · Want to enjoy coming to work every day? We do too - let’s create the culture we all want to work in Our values We have 3 values which drive what we do for our people, clients, partners, suppliers + other stakeholders – you MUST be someone with the same values: 1. We make things simple - we’re down-to-earth + we challenge ourselves to make complex tech accessible for everyone, 2. We do what we say we will…at a pace - you can trust us to do right by people, 3. We’re inclusive - we work as a diverse, collaborative virtual team both within our business + with our clients too We are applying for B Corp certification so everyone at DATA3 incorporates environmental, social and governance considerations into everyday thinking. We run our business using The DATA3 Way which includes a code of ethics and training on our values and principles. It’s super important to us that our new team members have shared values. Find out more about DATA³ on our website at

Wenham Carter is proud to be supporting a global leader in industrial software in the search for a Director, AI Product - Industrial Intelligence & Platform. This is a high-visibility leadership role shaping how advanced AI is embedded across industrial software products used by some of the world’s most critical infrastructure and asset-intensive organisations. You will sit at the intersection of advanced AI capability and industrial product strategy - defining how cutting-edge machine learning and foundation models translate into scalable, safe, and valuable real-world applications. The opportunity This role is responsible for defining and driving the technical truth behind AI-powered products - including model choices, system logic, and AI capability design from early concept through to production. You will play a central role in shaping the AI product vision and roadmap across a global industrial software portfolio, balancing innovation (0→1) with lifecycle product maturity and enterprise-grade deployment realities. This is a rare opportunity to influence how AI is embedded into complex industrial environments at scale. Key responsibilities • Define and own the technical direction (“technical truth”) of AI capabilities across industrial products, • Shape AI product strategy, roadmap, and requirements in partnership with engineering, data science, and product teams, • Translate emerging AI technologies into viable industrial product opportunities, • Drive AI product requirements (PRDs), prioritisation, and architecture decisions based on customer and domain needs, • Evaluate trade-offs across model performance, data constraints, cost, safety, and scalability, • Identify and mitigate technical, operational, and regulatory risks in AI systems, • Define and track AI product metrics to assess performance and inform roadmap decisions, • Ensure AI capabilities are aligned with industrial safety, security, governance, and compliance requirements, • Mentor and guide junior team members and contribute to a culture of innovation and rigour Key requirements • 10+ years of experience in AI/ML product management or technical product leadership, including 6+ years in senior leadership roles, • Strong technical foundation with recent, hands-on exposure to AI/ML systems (including shipping or influencing production systems), • Deep understanding of modern AI paradigms including foundation models, multi-modal systems, agent-based architectures, and RAG approaches, • Strong Python capability and familiarity with modern ML frameworks (PyTorch, TensorFlow, JAX), • Proven experience balancing innovation (0→1) with mature product lifecycle management, • Strong track record operating in complex, regulated, or industrial environments, • Ability to translate AI capabilities into practical, high-value enterprise use cases, • Exceptional communication and stakeholder influence skills across technical and executive audiences, • Master’s degree in Computer Science, Engineering, Physics or related field (PhD preferred) Why this opportunity? This is a chance to define how AI is productised within one of the most important industrial software ecosystems globally. You will not simply be reacting to trends, you will be shaping how AI is evaluated, prioritised, and embedded into real industrial systems where reliability, safety, and performance matter. This is a role for someone who can operate comfortably between deep technical AI understanding and strategic product leadership, and who wants to see their decisions directly influence real-world industrial outcomes at global scale. To stay updated on roles like this, follow me here on LinkedIn and send me a connection request.

📍 Remote | Full-Time | UK 🏴 🚀 The Client🚀 A well-funded, AI-native SaaS company is transforming the insurance industry by enabling smarter, faster, and more equitable underwriting decisions. Backed by leaders behind companies like Salesforce, Veeva, Zoom, and Box, the team is building a platform that embeds intelligent decision-making directly into workflows - helping insurers navigate today’s biggest challenges. 🧑 💻 The Role 🧑 💻 We are seeking a Senior Forward Deployed Engineer to design and deliver complex enterprise implementations while working closely with customers, engineering, and product teams. This role combines hands-on software development, technical consulting, and solution architecture to deploy AI-powered products in real-world environments. 🛠 Responsibilities 🛠 • Lead planning, scoping, and delivery of complex customer implementations from discovery through launch, • Act as the technical escalation point for integration and implementation challenges, debugging complex issues and designing robust solutions, • Run technical discovery sessions with customers, translating ambiguous requirements into clear technical solutions, • Design implementation approaches and influence architectural decisions based on real-world deployment needs, • Collaborate closely with Product, Engineering, Customer Success, and other cross-functional teams to align product capabilities with customer requirements, • Build internal playbooks, improve delivery processes, and mentor junior engineers, • Communicate technical insights and recommendations clearly to customers and internal stakeholders to help guide product improvements, • Write and debug production code for customer deployments and internal tooling using Python, JavaScript, and SQL 🎯 Qualifications 🎯 • B.S. in Computer Science or a related technical discipline, or equivalent experience, • 6-8+ years of software engineering, systems engineering, or technical product/program management experience 🧩 Required Skills 🧩 • Deep expertise across multiple product domains; ability to debug complex integrations and build custom solutions., • Strong communication skills — able to lead discovery sessions, manage client expectations, present technical tradeoffs, and influence stakeholders., • Demonstrated track record mentoring or leading other engineers, creating documentation/playbooks, and contributing to internal process improvements and knowledge sharing., • Cross-functional coordination skills, organizational leadership in delivery settings, and ability to own multiple customer timelines concurrently., • Coding competency in SQL, JavaScript and Python. If you're excited about driving AI-powered transformation 🤖, solving real-world problems at scale, and leading high-impact programs in a fast-scaling environment - Hit Apply!

Senior Platform Engineer (Azure / Kubernetes) UAE | On-site | $140,000–170,000 base + Discretionary Bonus We’re hiring a Senior Platform Engineer to own production systems end-to-end, operating distributed and model-driven workloads at scale in a cloud-native environment. Why this role ● Own production systems end-to-end: design and operate infrastructure on Microsoft Azure, including reliability, incidents, and platform stability ● Direct impact on live systems: run and scale user-facing services on Kubernetes, optimising for performance, reliability, and cost ● Serious engineering environment: build and operate CI/CD systems that enable fast, repeatable, and safe deployments ● Complex, distributed systems: implement observability and solve real scaling challenges ● Drive platform evolution: lead infrastructure-as-code and automation across environments ● Work on meaningful workloads: operate model-serving and inference systems in production, with the autonomy to improve and evolve the platform Apply if you: ● Have strong experience operating large-scale production systems as a Platform / SRE / DevOps Engineer ● Bring deep hands-on experience with Microsoft Azure and Kubernetes in production ● Build and operate CI/CD systems, and write Python for automation ● Understand system reliability, security, and cloud-native best practices, and can work directly with engineering teams to deploy and run services in production Nice to have ● Experience running model-serving / inference systems in production or supporting GPU workloads ● Comfortable using tools like Claude or Cursor to improve workflows Package ● $140K–170K base + bonus (depending on experience) ● 30 days holiday + public holidays ● Family medical + education allowance ● UAE visa sponsorship + relocation support 📩 Apply for this role This position is based in the UAE and requires relocation and full-time onsite work. Contact:

The Company Mythras is a pre-seed startup that turns voice interviews into structured, queryable intelligence that accumulates into a knowledge graph the customer organisation owns. Our product caters to investment teams, conducting interviews as part of diligence processes. Today, firms rely on dozens of unstructured reference calls per deal; the resulting insights surface as memos and notes, useful for the deal at hand and invisible across the portfolio. Mythras decomposes each conversation into structured evaluative output, surfaces cross-source patterns and risks, and compounds the firm’s diligence work into an intelligence asset. Technically, this means building systems that combine a domain-specific evaluative ontology, a multi-layer knowledge graph, controlled LLM orchestration over voice and text, and a production-grade enterprise application on top. Our founding team brings a proven track record of building VC-backed business intelligence platforms, deep domain expertise in diligence and M&A workflows, nearly a decade of experience in ontology engineering and applied AI, and research excellence in behavioural science and human-AI interfaces. The Role As our first engineering hire, you are expected to be more than a developer. You will work directly alongside the founders and our Knowledge Engineer to translate high-level semantic and reasoning models into a secure, performant, and user-friendly enterprise platform. While you will not be responsible for designing the underlying knowledge models themselves, you will be the primary bridge between deep intelligence and a production-grade product. This is a hands-on, zero-ego role. You will be writing production code daily while helping shape the architectural decisions that will define the company for years to come. Core Responsibilities Initial focus (first 6–9 months): • Infrastructure & Architecture: Design and deploy a secure AWS or GCP environment, including CI/CD pipelines, database schema design across PostgreSQL and Neo4j, and API orchestration., • MVP Development: Build and ship the core web application (frontend and backend) to support multi-tenant project setup, structured output review, cross-source synthesis views, and graph-backed firm intelligence interfaces., • Voice & Agent Integration: Implement deterministic orchestration logic for LLM- and voice-based agents, including execution flows, state handling, prompt management, and observability. This is not prompt tinkering: it is about building reliable intelligence workflows on top of foundation voice and language models., • Graph Application Layer: Work closely with the Knowledge Engineer to expose the Neo4j-backed three-layer graph (interaction, project, organisation) through clean APIs and well-designed UI, with full provenance from extracted claim back to source utterance., • Security & Compliance: Implement SOC2-ready security foundations from day one (we are not expecting certification at MVP), including encryption at rest and in transit, robust identity management, firm-scoped tenant isolation, and no-cross-customer-training guarantees baked into the architecture. Traditional Requirements • 4+ years of professional software engineering experience (startup experience preferred)., • Full-stack proficiency: strong experience in a modern backend language (Python, Node.js, or Go) and a modern frontend framework (React / Next.js)., • Databases: solid understanding of relational databases (PostgreSQL) and hands-on experience with graph databases (Neo4j strongly preferred), with a working interest in vector stores., • DevOps fundamentals: experience with Docker and cloud-native deployments., • Experience integrating with foundation LLM and/or voice APIs in production is a strong plus., • Experience building early-stage systems that later scaled is a strong plus. Who This Role Is For This role is for you if you: • Enjoy building foundational systems from first principles., • Care about correctness, traceability, and real-world decision-making impact., • Want genuine ownership rather than a narrow ticket queue., • Are excited by complex, interdisciplinary problems at the intersection of software, reasoning, voice, and human judgment. This role is not for you if you: • Want a fully formed product, large team, or rigid roadmap on day one., • Prefer narrow, well-defined problem spaces with little ambiguity. What We Offer Compensation: c. £75k per annum. Equity: Meaningful founder-level equity, structured to reflect early risk and long-term ownership. Ownership: A direct seat at the strategy table and full technical agency over the codebase. Trajectory: We expect to raise a pre-seed round in the near term, with scope to revisit compensation post-raise.

Junior Front End Developer | HealthTech Scale-up | React, JavaScript | Remote-First (UK) 💷 Up to £35,000 depending on experience. 🏠 Remote-first (with the ability to travel for occasional collaboration). 👥 Small, specialist engineering team. 🏢 Profitable HealthTech Scale-up. 💻 React, JavaScript, TypeScript. Are you a Junior Developer with a sharp eye for design and a passion for building products that actually help people? Do you enjoy the fast-paced environment of a small team where you can see your work being used by thousands of people almost immediately? Are you looking for a role where you aren't just a ticket-processor, but a product-thinker who cares about the user experience as much as the code? My client is an established UK scale-up building technology that genuinely improves lives. They have spent years refining a digital platform used by a massive community of frontline workers to streamline essential daily tasks. Unlike many in the space, they are profitable and are now scaling their engineering team to support a major roadmap of international expansion. As the successful candidate: • Real Mentorship: You will be the second full-time engineer in a lean team, working directly with a Lead Developer who will mentor and support your career growth., • Global Impact: You will ship code immediately, helping to build out critical features for their international expansion., • Design & Tech: You will bridge the gap between technical implementation and design, ensuring the platform remains intuitive for users in high-pressure environments., • Full-Stack Potential: While initially focused on the React web and mobile platforms, you will have the opportunity to evolve your skills into back-end services over time. The ideal candidate: • Front-End Proficiency: Solid commercial or strong personal project experience with React and JavaScript — required., • Design Sensibility: A genuine interest in UI/UX. You should care about how a feature feels to a user, not just if the code runs — required., • Proactive Mindset: A learner attitude. You are curious, ask critical questions, and have a drive to get things done quickly — required., • Location: Remote-first, but you must be based in a location that allows for occasional travel (roughly once a month) for in-person collaboration sessions — required., • Nice to haves: Experience with TypeScript, React Native, or an interest in Python/Django. This is a rare opportunity for a junior developer to move away from "cog-in-the-machine" coding and take on real ownership in a company that is financially stable, profitable, and entering an exciting period of global growth. This vacancy is being managed by a third-party recruiter. By applying, you agree to your application being processed for this role. We endeavour to respond to all candidates, but high application volumes may prevent individual feedback.

About Us: Based in San Francisco, California, Turing is the world’s leading research accelerator for frontier AI labs and a trusted partner for global enterprises deploying advanced AI systems. Turing supports customers in two ways: first, by accelerating frontier research with high-quality data, advanced training pipelines, plus top AI researchers who specialize in software engineering, logical reasoning, STEM, multilinguality, multimodality, and agents; and second, by applying that expertise to help enterprises transform AI from proof of concept into proprietary intelligence with systems that perform reliably, deliver measurable impact, and drive lasting results on the P&L. Project Overview: As a Software Engineering evaluator, you will create cutting-edge datasets for training, benchmarking, and advancing large language models, collaborating closely with researchers. This includes curating code examples, providing precise solutions, and making corrections in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go; evaluating and refining AI-generated code for efficiency, scalability, and reliability; and working with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Working on AI model training initiatives by curating code examples, building solutions, and correcting code in Python, JavaScript (including ReactJS), C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code to ensure that it is efficient, scalable, and reliable., • Collaborate with cross-functional teams to enhance AI-driven coding solutions against industry performance benchmarks., • Build agents that can verify the quality of the code and identify error patterns., • Hypothesize on steps in the software engineering cycle (prototyping, architecture design, API design, production implementation, launch, experiments, monitoring, operational maintenance) and evaluate model capabilities on them, • Design verification mechanisms that can automatically verify a solution to a software engineering task. Required Skills: • 3+ years of software engineering experience., • Strong expertise in building full-stack applications and deploying scalable, production-grade software using modern languages and tools., • Deep understanding of software architecture, design, development, debugging, and code quality/review assessment., • Excellent oral and written communication skills for clear, structured evaluation rationales. Engagement Details: • Commitment: flexible engagement, minimum 10 hrs/week, up to 40 hrs/week (partial PST overlap required), • Type: Contractor (no medical/paid leave), • Duration: 1 month (starting next week; potential extensions based on performance and fit), • Location: Candidates must be based out of US, Canada or WEU countries (UK, Netherlands, Italy, Germany, …) Note: As part of assessments you will go through an AI video interview. After applying, you will receive an email with a login link. Please use that link to access the portal and complete your profile. Know amazing talent? Refer them at ___, and earn money from your network.

You will contribute across the full project lifecycle, from early-stage development through to operations, by: • Building and refining simulation models for key components such as wind turbines, plant controllers, and grid interfaces (HVAC/HVDC systems, FACTS devices where relevant), • Carrying out power system assessments in PSS/E, including steady-state, fault, and dynamic performance studies, • Running detailed EMT simulations in PSCAD to analyse system behaviour under disturbances, switching events, and control interactions, • Handling OEM and vendor models, ensuring correct setup, validation, and ongoing management, • Producing structured, high-quality technical documentation suitable for both internal review and external compliance requirements, • Interpreting study results, identifying risks, and proposing practical engineering solutions, • Ensuring consistency with established engineering standards, methodologies, and QA processes You must hold the below Academic background in Electrical or Power Engineering, or equivalent practical experience Around 5+ years of hands-on PSCAD experience focused on EMT analysis Solid working knowledge of PSS/E for network and dynamic studies Experience dealing with third-party/OEM models, including parameterisation and validation Familiarity with automation tools or scripting (e.g. Python, MATLAB) to improve workflow efficiency

Senior Physical Design Engineer - Bristol An innovative semiconductor company is seeking a Senior Physical Design Engineer to support the delivery of next-generation, low-power Wi-Fi SoCs used in high-volume consumer devices. This is a key backend position with real ownership across the full implementation cycle, working closely with cross-functional engineering teams to deliver high-quality silicon. As a Senior Physical Design Engineer, you will take responsibility for driving RTL-to-GDSII implementation while ensuring designs meet demanding power, performance and area targets in advanced process nodes. What they are looking for: • Strong academic background in Electronics Engineering or a related field, • Proven experience across full backend/physical design flows in advanced CMOS technologies, • Solid understanding of timing closure methodologies and sign-off requirements, • Experience with low-power implementation for battery-operated or power-sensitive designs, • Familiarity with industry-standard EDA tools and scripting (Tcl, Python, Shell or similar), • Ability to take ownership of complex technical challenges in a fast-paced development environment This Senior Physical Design Engineer role offers the opportunity to work on high-impact connectivity. Email - Tel - 01189073075 LinkedIn -

A US-based start-up has recently expanded into the UK and is building a cutting-edge hardware team comprising ASIC Designers, Verification Engineers, and Architects. With a proven and successful leadership team, this company offers a unique opportunity to be part of the AI revolution from the ground up. As AI and computing rapidly evolve, there is an increasing demand for sophisticated platforms that integrate a wide range of processors—including CPUs, GPUs, and neural accelerators and this is where you come in! You will be joining a Fabric IP company as a Design Verification Engineer, contributing your strong background in developing testbenches and writing test sequences for complex IPs. In this role, you will play a pivotal part in shaping the company’s technology portfolio—bringing both technical expertise and creative problem-solving to innovative hardware solutions. Responsibilities: • Create test plans for highly configurable IPs meant to provide interconnectivity between components across an SoC, chiplet, or multi-chiplet systems, • Write UVM/SystemVerilog code to implement the test plan, checkers, and scoreboards, • Collaborate with software teams to define and implement configurable testbenches, • BS, MS in Electrical Engineering, Computer Engineering or Computer Science, • 6+ years and current hands-on experience in block-level/IP-level/SoC-level verification, • Proficiency in Verilog, SystemVerilog, • Familiarity with industry-standard EDA tools for simulation and debug, • Deep experience with UVM-based testbenches, • Experience with modern programming languages like Python, • Knowledge of Arm AMBA protocols such as AXI, APB, and AHB, • Understanding of Arm CHI protocol is a plus, • Experience on working with IP's for caches, cache coherency, memory subsystems, interconnects, and NoC's is a plus, • Experience with formal verification techniques, emulation platforms is a plus, • Excellent problem-solving skills and attention to detail, • Strong communication and collaboration skills On offer is a competitive base salary of up to £120,000 (dependent on experience), along with share options and a performance-based bonus scheme This is a rare opportunity to join the company as one of the first engineers in the UK—and among a select few globally—helping to shape and build a world-class hardware team from the ground up To be considered for this role, you must already be living and working in the United Kingdom and happy to work onsite in either Bristol or Cambridge.

AI Engineer (LLMs, Agents, MCP, ML) Location: Remote (UK) Salary: £80,000 – £100,000 Neulinx have partnered with a global SaaS platform in the hospitality and travel space, who are hiring an AI Engineer into a high-impact role. The business is widely recognised as one of the UK’s leading AI-driven SaaS companies, and a standout performer within the hospitality technology space, and is now doubling down on embedding AI across its product and engineering ecosystem. The Opportunity You’ll join a 45+ person engineering team and play a key role in shaping how AI, LLMs and machine learning are integrated into a live, scaled platform. This is not a research role. It’s a hands-on position where you’ll build, ship and see your work used immediately by a global customer base. What You’ll Be Doing • Designing and delivering AI-powered product features and workflows, • Working with LLMs in production, including prompt engineering and optimisation, • Building AI agents and advanced workflows, • Developing and integrating MCP services and API-driven AI interactions, • Embedding AI into core product functionality, integrations and internal systems, • Identifying and delivering practical AI use cases at scale What They’re Looking For • Hands-on experience with LLMs in real-world applications, • Experience with either:, • AI agents, MCP services and advanced workflows, or, • ML / deep learning models (e.g. pricing, analytics), • Strong engineering capability, ideally with Python and AWS, • Experience integrating AI into existing products or platforms, • A practical, delivery-focused mindset Why This Role • Work on a global, scaled SaaS platform with real users, • Be part of a high-performing 45+ engineering team, • Shape how AI is embedded into a live product at scale, • Remote-first, flexible working If you’re an AI Engineer who wants to build meaningful AI capability in a real product environment, go ahead and apply.