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Software Engineer – DV Salary: £55,000 - £80,000 DoE Location: Manchester – expect to attend site five days a week Clearance: Must hold current UK*C DV The company: Cyber Security and National Security technical consultancy. The company is large enough to offer stability, expert support and career progression while enabling you to work with a large degree of autonomy developing cutting edge solutions over a range of projects. Requirements: They are open to your background, but would expect you to have experience in some of the following tech stack and be proactive in learning new technologies. You will have a learning and development budget to support this. Python, Java, TypeScript, JavaScript React, Angular, React Kubernetes (k8s) Docker AWS, Azure Elasticsearch, MERN, Neo4J Benefits Excellent company benefits including significant pension contributions, BUPA, equity and training allowance. Application: I appreciate discretion is key and am happy to receive anonymised / heavily redacted CVs. I just need a broad overview of your situation and I can then facilitate a conversation with my clients who are within the intelligence community and hold high levels of clearance.

We’re partnering with a PE-backed SaaS business in the EdTech space that is scaling quickly and investing heavily in its product and engineering function. They’re hiring to help shape technical strategy across a growing core product suite used at real scale. This is a high-impact senior IC role for someone who loves solving complex architectural problems, influencing across multiple teams, and operating at the intersection of engineering, product, and business strategy. This is not a “staff in title only” role. The business is looking for someone who can work across domains, support technical leaders, raise the architectural bar, and bring strong judgement to a fast-moving environment undergoing significant transformation - including a major push toward AI-first engineering ways of working. What you’ll be doing • Driving architecture, technical direction, and roadmaps across a complex product estate, • Partnering with Tech Leads, Product Directors, and Engineering leadership on the company’s most important initiatives, • Supporting delivery of new product areas, module rebuilds, and greenfield architectural challenges, • Coaching senior engineers and technical leads while improving engineering quality and decision-making across teams, • Helping define what AI-first software development looks like in practice, including how tooling and new workflows reshape the SDLC, • Operating as a senior technical leader across multiple teams rather than sitting in one narrow delivery lane What they’re looking for • A proven background as a Staff Engineer / Principal-level IC / senior technical leader in a scaling product business, • Strong experience in architecture, systems design, and technical strategy across multiple teams or domains, • Someone who can influence senior technical and non-technical stakeholders and turn ambiguity into momentum, • A leader who brings examples, judgement, and real-world experience not just theory, • Strong opinions on how AI changes engineering productivity, team design, and delivery, • Experience in modern product environments where quality, performance, security, and observability matter, • Exposure to technologies such as PHP, Node, React, Python, MySQL, and AWS is helpful, but this is not a language-led search

Okta Administrator / Specialist - Contract – Retail / E-Commerce Oliver Bernard are currently working with a global Retail / E-Commerce company who are looking to take on a strong Okta specialist with strong experience working cross-functionally in tech-first businesses. The incoming Okta Administrator will have prior experience integrating Okta into other enterprise applications and infrastructure components. To be suitable for this role, the incoming profile must have the following experience: • Extensive experience as an Okta Administrator, • Strong history of Identity & Access Management (IAM) work (SAML, SCIM, SSO, MFA etc), • Prior work with Authentication Mechanisms (Passkeys, Okta Fastness, Okta Adaptive MFA etc), • Strong Identity Governance and Administration (IGA) and Privilege Access Management (PAM) experience, • Comfortable testing, deploying, and troubleshooting IAM systems, • Able to Automation IAM processes using scripting languages such as Python This is a remote contract opening outside IR35, for an initial 3 months, and can offer £400-500 p/day for the right profile. Okta Administrator / Specialist - Contract – Retail / E-Commerce

Nelly Works are supporting a leading digital media company is hiring a senior hands-on GCP specialist to help lead a major Azure-to-GCP migration and modernization program. Overview This is a high-impact role for someone who can combine deep GCP platform expertise with practical enterprise migration experience. You’ll help shape the target cloud architecture, challenge assumptions, and guide the migration of complex workloads from Azure into GCP. NB: No visa sponsorship available We can consider contract & permanent contracts What you’ll do • Lead GCP platform and landing zone design for a large enterprise environment, • Assess current Azure workloads and recommend the right GCP services and patterns, • Support migration discovery, dependency mapping, sizing, and phased cutover planning, • Design secure, governed, and cost-conscious cloud foundations, • Work closely with internal engineering teams and external cloud partners, • Define and improve infrastructure automation, IaC, and CI/CD practices, • Help modernize applications, databases, networking, and platform operations along the way What you bring • 5 + years of hands-on experience in cloud, platform engineering, infrastructure, or DevOps, • 3 - 4+ years of deep, practical Google Cloud Platform experience, • Strong knowledge of core GCP services, including Compute Engine, Cloud Storage, VPC, Cloud IAM, and Cloud SQL or Spanner, • Experience with GCP governance, security, org policies, cost management, and VPC Service Controls, • Strong Terraform experience, • Experience supporting or leading large-scale migrations from Azure, another hyperscaler, or on-premises into GCP, • Experience in enterprise environments with multiple teams and complex stakeholder landscapes, • Strong English communication skills Nice to have • Experience mapping Azure services to GCP equivalents, • GKE / Kubernetes experience, • Azure DevOps or GitHub Actions, • Python, Bash, or gcloud scripting, • Google Cloud certifications, • Portuguese or Spanish language skills Engagement • Contract or permanent considered, • UK-based preferred, with flexible remote options across the UK and selected EU locations Why this role • Join a greenfield transformation where your decisions will matter, • Influence architecture, not just execution, • Work on a visible, multi-year cloud modernization program Location: London preferred, with one day per week in the London office ideal. Fully remote will be considered for the right candidate.

Role: Analytics Engineer REMOTE Salary: £60,000 - £75,000 (dependent on experience) Insight into the Company: This organisation is a large telecoms organisation that is looking to change the industry through their flexible approach! As an Analytics Engineer on their team, you will work to build the customer data platform. The ideal candidate will be a team-player, working in a team of 10, working with and supporting different data workstreams. You will have strong communication skills to work within the team and also with stakeholders. The role will involve improving existing models to ensure they are efficient and scaled. Role and Responsibilities: • You will ingest and transform data in snowflake using DBT, • You will support the building of the data warehouse in Snowflake, • Essential to have 3+ years experience in:, • SQL, • Python, • DBT, • Cloud techs such as Snowflake, BigQuery or Databricks, • Dimensional Modelling such as Kimball, • Desirable to have experience with:, • CI/CD pipelines, • Kafka; real-time streaming There are 4 stages to the process: • A 30 minute discussion about experience, • An hour take home exercise, • A technical interview with the Data Director and Analytics Engineer

Senior Spacecraft Software Engineer Glasgow, UK - Hybrid £85,000 - £100,000 Depending on experience & Qualifications We are proud to be supporting a world-leading space-to-cloud analytics company in their search for a Senior Spacecraft Software Engineer. Because this engagement is sensitive, we'll share the client's name with candidates at the shortlisting stage. The Opportunity Our client owns and operates one of the world's largest multi-purpose satellite constellations, delivering advanced maritime, aviation, and weather tracking globally. Their infrastructure spans a proprietary satellite constellation, a global ground station network, and 24/7 operations providing real-time coverage of every point on Earth. This role sits at the intersection of satellite payloads, scientific computing, and data delivery systems. You will be responsible for developing and maintaining both the flight and ground software that powers GNSS-based satellite missions, working across system layers from embedded software through to mission data pipelines. It is a high-impact, high-autonomy position where technical breadth and ownership are essential. Key Responsibilities Flight & Payload Software • Develop and maintain scientific and command & control software for GNSS-based satellite payloads, • Work across embedded system layers to ensure accurate and timely scientific data output, • Engage with payload developers and mission operators to evolve software in support of scientific objectives Ground Systems & Data Delivery • Build and operate ground-based automation systems for data extraction, transformation, and delivery, • Collaborate with flight operations to troubleshoot and ensure consistent, high-quality data delivery, • Participate in code reviews, testing, and documentation to maintain software reliability and traceability What We're Looking For Our client is seeking a Senior Spacecraft Software Engineer with deep technical foundations in embedded systems and GNSS signal processing. You'll take strong ownership of your work and be comfortable operating independently across hardware and software boundaries. Core Requirements • Proficient in Embedded C/C++ for hardware development in constrained environments, • Solid background in DSP techniques and theory, particularly in the context of RF or GNSS signal processing, • Hands-on experience with GNSS signal processing algorithms and/or scientific applications such as GNSS-RO, GNSS-R, or PNT Desirable • Python proficiency and ability to pick up new tools and languages as needed, • Experience with cloud-based systems (e.g. AWS), backend development, and scalable data storage, • Prior experience working on satellite payloads or in the aerospace domain, • Experience building telemetry and data visualisation tools, • Contributions to open-source scientific or aerospace-related software projects Why This Role Stands Out • Work on a real, operational satellite constellation delivering mission-critical scientific data globally, • High autonomy from day one, design, build, and own your work end-to-end, • Join a technically exceptional team operating at the cutting edge of space and clean technology infrastructure, • Generous benefits including education assistance, stock purchase programme, fitness reimbursement, family leave, and more, • An opportunity to contribute to work that genuinely improves life on Earth 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.

AI Engineer (Remote, UK-based) About the Company We’re an AI-driven technology company building solutions that help organisations resolve complex issues—before they become costly or high-risk. Backed by leading investors and already generating revenue, the business is scaling quickly across multiple sectors—making this an opportunity to join at a pivotal stage and shape a fast-growing product. The Team & How You’ll Work You’ll collaborate closely with senior technical leadership and work alongside Product, Design, and AI specialists in a highly cross-functional environment. • ~80% hands-on development, ~20% architecture and system design, • Agile setup with 2-week sprints, standups, and retrospectives, • Strong engineering culture with dedicated time for technical debt What You’ll Do • Design and build AI-powered systems to solve complex problems, • Ensure privacy and security are embedded at every level, • Deliver scalable, maintainable, high-quality software, • Explore and implement new AI tools, frameworks, and models What We’re Looking For • Strong expertise in Python, • Experience building and deploying applications in production cloud environments, • Solid system design skills (scalability, security, performance), • Hands-on experience with AI-driven applications (e.g. LLMs, agents), • Ability to balance speed with long-term code quality Nice to Have • Experience with AWS, • Familiarity with multi-agent systems, • Exposure to enterprise compliance frameworks

Senior Software Engineer Why? Lead a Greenfield web and mobile project Tech - Python, Ruby on Rails, React, Next, React Native, AWS We’re looking for a Senior Software Engineer who wants more than just an average dev job. You'll own features end-to-end, working closely with product owners, shaping architecture, and mentoring others while working with a modern, cloud‑native stack. Great engineering is a team sport. Beyond strong technical skills, we’re looking for someone who communicates openly, collaborates naturally, and helps create an environment where everyone can do their best work. You’ll join a product-focused engineering team where your ideas matter, your code ships fast, and your work has real business impact. Senior Software Engineer Responsibilities • Own features from concept to production; collaborate and co-own product and design to shape solutions, • Translate product strategy into technical and architectural solutions, • Actively communication with stakeholders to support product roadmaps, • Build and scale modern web and mobile applications, • Lead engineers on this project and help grow a strong culture Senior Software Engineer Requirements • Full-stack development experience using Python or Ruby on Rails + React/Next.js or React Native), • Experience leading development projects or part of development projects, • Prior experience liaising with product teams and business stakeholders, • Solid understanding of software architecture, design patterns, and automated testing, • Ability to design and deliver complex features from scratch and communicate them to non-technical stakeholders, • Excellent problem‑solving skills and attention to detail For more information, please contact Katie at Matched Group. Senior Software Engineer / Senior Software Developer / Ruby-on-Rails / Python

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. Ideal Background: This role is ideal for engineers who have built production systems at companies like Google, Microsoft, Apple, Amazon, Meta, or similar high-scale engineering organizations. We especially welcome graduates from leading programs such as Harvard, Columbia, Princeton, Yale, University of Pennsylvania, and comparable institutions — though exceptional experience and skill always take precedence over pedigree. 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 across the full stack — in Python for backend and ML workflows, and JavaScript (React, Node.js) for frontend and API layers, alongside C/C++, Java, Rust, and Go. You will evaluate and refine AI-generated code for efficiency, scalability, and reliability, and work with cross-functional teams to enhance enterprise-level AI-driven coding solutions. What Does a Typical Day Look Like? • Work on AI model training initiatives by curating code examples, building solutions, and correcting code across both Python and JavaScript (React, Node.js), with additional work in C/C++, Java, Rust, and Go., • Evaluate and refine AI-generated code across backend and frontend contexts 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 across full-stack applications., • 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: • Several years of software engineering experience (3 years or more), • Strong expertise in building full-stack applications using Python and JavaScript (React, Node.js), with the ability to work across backend and frontend codebases., • Experience 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, • Type: Contractor (no medical/paid leave), • Duration: 1 month (potential extensions based on performance and fit), • Location: Candidates must be based in the United States Evaluation Process: • The application process takes 15–30 minutes., • Completion of an AI video interview is required. 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.

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.

Data Engineer Manchester (hybrid, 2 days in the office) £70,000 to £90,000 This is an opportunity to join a scaling SaaS business where data sits at the heart of the product. You will play a key role in shaping modern data infrastructure that directly supports machine learning systems, real time decision making, and measurable commercial outcomes. The role offers high ownership, greenfield projects, and the chance to influence how data is used across the organisation as it continues to grow. The Company They are a UK based technology scale up building a privacy first, cookieless platform that helps businesses protect and optimise their digital marketing spend. Using machine learning and large scale behavioural data, they analyse vast volumes of traffic in real time to identify low quality or invalid activity. With offices in London and Manchester, they operate at Series A stage with strong funding and a collaborative, engineering led culture. The Role You will sit within the Data and Platform function, working closely with Data Science, Engineering, and Product teams to design and run reliable, scalable data systems. Key responsibilities include: • Designing and owning batch and streaming data ingestion pipelines on AWS, • Building and maintaining ML ready datasets to support model training, inference, and experimentation, • Improving data warehouse design and performance within AWS Redshift, including refactoring poorly structured data, • Integrating new and underused data sources to unlock additional value, • Supporting feature store development and data pipelines for A/B testing and analytics tools, • Optimising data systems for cost, performance, reliability, and data freshness, • Strong commercial experience building production grade data pipelines using Python and SQL, • Hands on experience with AWS data services such as S3, Redshift, Glue, Athena, and streaming technologies like Kinesis, • Experience working with large scale, high velocity event data and understanding the trade offs around cost, performance, and reliability, • Ability to think beyond implementation and understand how data supports business and product outcomes, • Comfortable collaborating across Data, Engineering, and Product in a fast moving environment If you are interested in building high impact data systems in a growing SaaS environment, apply now to find out more about this opportunity.

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

Note: no agencies/consultancies, must be in the UK with right to work We're building the digital infrastructure that makes clean energy work in the real world. Seventy million machines run on diesel. The alternatives exist. But the operations are complex, the supply chains are still emerging, and for most companies the transition feels risky. That's the problem we're solving. Logiq Systems builds the operational intelligence layer that makes clean energy work in the real world. One platform for fuel suppliers, rental companies, and asset operators to deploy, monitor, and optimise hydrogen, battery, solar, and alternative fuel systems — at the scale and reliability that industries actually need. We're live across construction, events, and industrial sectors with customers including Toyota, Balfour Beatty, Acciona, Sunbelt Rentals, and Protium. The technology works. Now we're scaling the team that scales the business. If you want to work on infrastructure that matters, in a company early enough that what you do shapes the industry, we'd like to hear from you. UNITED KINGDOM, REMOTE / FULL-TIME Role Summary: We are looking for a Senior Software Engineer (full-stack) to develop the Logiq platform. Working closely with our Head of Product, you will be responsible for building software that forms the core of our main business, as well as defining the long-term technical direction of Logiq Systems. Who we are today: Logiq Systems was founded in 2020 and is currently a team of five. Aran Bates and Ben Lindley are the founders, two friends turned colleagues. We are both dads of kids less than 5 years old (two each). Having both worked on this for two years self-funded (although now venture backed) we are driving a huge market shift in off-grid energy. While it is one that won't change with the speed of the AI bubble - this is infrastructure and hardware, not some Al wrapper over ChatGPT - it delivers sticky and lasting change with our customers and the industries we touch. As a team our passion and mission is improving the world around us, making it better for people and the planet. Our purpose pushes us to be the force of change in this industry. Not just in environmental sustainability by making the world less polluted from carbon, noise and poor air quality, but also in creating a supportive company flexible to the realities of modern life. A company with a diverse, equal, and respectful workforce. What does that really mean though? Well we recognise that talent can exist anywhere in the UK and that people have life commitments that can overlap with traditional 'core hours'. We are remote-first: As a team we are spread across the UK from Edinburgh to London, this means we can work with the best people out there. We also recognise the importance of building a sense of team, meeting regularly (at least once a quarter) and put a lot of emphasis into team building in the 'virtual' work environment also - e.g. daily team video calls, non- work Slack channels such as one specifically for sharing the music we are listening to. Although for this role there is a preference to have a candidate within around an hour of travel to Edinburgh or Oxford to work with the founders or the Head of product in person more regularly. Flexible working: To manage the interface of life and work we operate a flexible working policy, at the start of every week we have a whole team standup and in that we clearly communicate as a team what commitments people have that might cut into the working day or lead to a hard stop at the end of the day, so that as a team we can ensure that life and work fit together. Supporting women and primary carers in tech: Both Ben and Aran fully recognise the importance of building a supportive working environment for women and parents so they can continue a career, while remaining supportive and attentive to both kids and work. This has been heavily influenced through their experience as fathers and with partners who continue to have successful careers, while sharing parenting loads. The team we are building: The team we want to build is one where we are: • Passionate about making a difference. We are pushing change through a traditional market there meaning there are naysayers, so it is very important we have strong belief in the change we are driving., • Flexible and comfortable with ambiguity. We must be flexible as the market is early and developing. You will be shaping a new offering in the clean energy industry right from the start!, • Extremely self-motivated with a strong work ethic. We are a small team and need people to own their work. We also work hard because we love what we do!, • Fun! We need to enjoy what we do, while still being proud about the quality of our work., • Humble, authentic, and honest. We give credit where credit is due. We can respect, support and celebrate others for the value they bring., • Comfortable being challenged. We believe in creating an environment where we feel comfortable and safe enough for ideas to be challenged in a constructive manner., • Curious. Curiosity drives improvement and innovation. Always ask why. The Role: As a Senior Software Engineer, you will be responsible for the long-term technical direction of the Logiq platform and products, which provide real-time operational intelligence for connected clean energy assets. You will be designing and developing new products, features and improvements to the Logiq platform, delivering value to our growing customer base and the key capabilities required to evolve our growing business. As a senior member of the team, you will also have direct input into the product direction, working closely with the Head of Product to shape how Logiq develops as we scale. You will also be the champion of software engineering best practices across Logiq Systems. A few of your responsibilities: • Design and develop full-stack features using React, Python, PostgreSQL and serverless technologies (AWS Lambda, Fargate)., • Design and implement RESTful APIs and event-driven systems., • Maintain, extend and improve optimisation, alerting and forecasting models., • Implement and maintain CI/CD pipelines., • Ensure high-quality code through peer reviews, automated testing, documentation and adherence to software development standards., • Take ownership of the technical architecture and engineering processes., • Collaborate closely with a small startup team. To thrive in this role: We expect you to: • Be comfortable with variety and shifting priorities. Early-stage companies require adaptability, and you'll be working across very different types of tasks., • Take ownership of outcomes, not just tasks. You'll be given problems to solve, not always detailed instructions on how to solve them. We'll provide context and support, but you should be confident running with work and coming back with solutions or thoughtful questions., • Balance quality with speed. Early-stage work requires knowing when "good enough" is better than "perfect but late"., • Ask questions and challenge ideas respectfully. We value curiosity and constructive input across the team. We value people who bring their perspective and aren't afraid to ask "why?" or "what if we tried...?". Equally they are comfortable with their ideas also being respectfully questioned. We put the problem being tackled in the middle. What you'll need to do this job: • Full-stack: Proven experience in full-stack software development. We are using Python (REST & GraphQL) for the backend, React for the frontend., • Cloud architecture design: Proven experience in scalable cloud architecture design., • API design: Solid understanding API design (REST & GraphQL)., • SQL/NoSQL databases: Experience working with SQL (Postgres) and / or NoSQL databases., • AWS: Familiarity with the AWS Serverless stack and event driven architectures., • Customer Mindset: We value engineers who have a strong product and customer-centric mindset., • Communication: Excellent communication and collaboration skills to explain ideas clearly., • Collaborative and low-ego approach: You contribute positively to team culture and work well with others., • Agile: Comfortable with very lean/agile processes. We want you to be involved in all phases of the development lifecycle and bring your unique talents to the process., • DevOps: Experience with DevOps including setting up and managing CI/CD pipelines and terraform deployment., • AI enabled: Comfortable with leveraging AI to better assist developer workflows and rapid prototyping, • Testing: A strong testing mindset. If you think you meet most of the criteria, please get in touch! Experience we'd love to see: • Experience in developing high-scalability systems, • Experience with IoT data collection and processing pipelines. We are using a combination of Node-RED, MQTT, Telegraf, Linux, Python, InfluxDB and TimescaleDB., • Experience with integration of 3rd-party systems, • Experience with statistical modelling, ML optimisation & forecasting, • Strong data analytics skills, • Experience in early-stage start-ups, consulting, or high-growth environments where you've navigated ambiguity and taken initiative, • Experience working on (renewable) energy products or telemetry producing systems Location: • United Kingdom, Remote full-time, • We are remote first. We meet regularly (around once a quarter at least)., • We can’t currently support visas so you must have the right to work in the UK., • Preference for 1hr travel proximity to Edinburgh or Oxford to meet semi-regularly to work with founders or Head of Product. Remuneration: • £55,000 to £70,000/year salary depending on experience, • Share options in Logiq Systems

Location: Remote (UK or Greece) Salary: Competitive, based on experience Job Type: Full-Time Working for Krotos We revolutionize sound creation by making Hollywood-quality sound accessible to everyone. Our groundbreaking software, featured in blockbuster productions like Avengers and Game of Thrones, empowers creators to design high-quality sound faster and more intuitively. Our mission is to change the way people design and perform sound. As a fast-growing, remote-first company, we are pushing the boundaries of creativity and innovation in content creation. The role Join our R&D team as an ML specialist to research, develop and ship technologies that change how people create sound. We're building systems that understand, manipulate and generate audio in ways that feel genuinely intuitive to professionals and we're nowhere near done. You'll own problems end-to-end, from identifying the right approach to getting it in front of customers, working closely with product to make sure what we build actually matters. Key objectives • Research and develop multimodal AI technologies that improve the way people work with sound, • Build and optimise LLM-powered audio pipelines and extend our Qwen-based vision model for audio production use cases, • Identify opportunities to apply the latest advances in generative AI and multimodal research to the professional audio field Responsibilities • Work within the team and research engineers to solve problems for film makers & sound designers, • Design and maintain backend inference systems that meet the latency and quality demands of professional audio workflows, • Collaborate with product and engineering teams to implement ML research in commercial products, • Work with the product owner to identify where ML creates the most value for customers, • Clearly and effectively communicate ML concepts, model behaviour and tradeoffs to the wider business, • Provide technical guidance on model architecture, fine-tuning strategy and deployment decisions Skills and experience Essential: • A degree in a relevant field or extensive professional experience, • Experience in commercial machine learning research and development, • Strong hands-on experience fine-tuning and adapting large language models (LoRA, QLoRA, PEFT, DPO/RLHF), • Experience working with data, training and evaluating machine learning models, • Experience with multimodal architectures — audio-language, vision-language, or both, • Extensive audio and signal processing knowledge — spectral features, neural codecs, generative audio models, • Experience deploying models to cloud inference (AWS or GCP) with awareness of latency and cost tradeoffs, • MLOps competency — experiment tracking, model versioning, evaluation pipelines, ML CI, • Experience with Python and modern ML frameworks (PyTorch, JAX), • Excellent verbal and written English communication skills, • Excellent analytical and problem-solving skills, • A desire to innovate and push current practice Desirable: • Experience with vision-language models, particularly Qwen-VL or similar, • Experience with Agile software development practices, • Familiarity with VST/AU plugin architectures and real-time audio constraints, • Experience delivering ML technologies shipped in commercial audio software, • Knowledge of sound design and audio post-production workflows, • C++ reading ability, • Previously registered audio machine learning patents Team Core Values Inventive. Driven. Transparent. Our values define who we are and how we work: • Honesty & Transparency: We communicate openly, share the truth even when it’s difficult, and build trust through clarity, • Team Player: We collaborate, support each other, and put collective success above ego, • Problem Solver: We face challenges head-on and find creative, practical solutions., • Open-Minded: We listen to others, consider different perspectives, and recognise the complexity of good decisions, • Politeness & Respect: We treat colleagues and customers with courtesy and professionalism, • Curiosity & Growth: We love learning, experimenting, and continuously improving, • Data-Driven: We let insights and evidence guide our decisions, not guesswork, • High Standards: We take pride in excellence and pay attention to the details that matter, • Strong Work Ethic: We commit, follow through, and work hard to achieve ambitious goals Benefits • Competitive salary and benefits package, • Private health insurance, • Opportunities for professional growth and development, • Flexible, remote working environment, • Access to cutting-edge technology and tools, • Exciting projects in a fast-growing, innovative company Next steps Send your CV and a cover letter to explaining why you are the best candidate for this role, referencing the requirements above and including two to three brief examples of relevant results. Note: All offers are subject to eligibility to work in the UK or Greece and satisfactory references. At Krotos, we value diversity and are committed to fostering an inclusive environment. We encourage applications from candidates of all backgrounds. Reasonable adjustments are available throughout the application and interview process.

About the Role At Geniez AI, we're building the enterprise Generative AI framework that fundamentally changes how large organizations manage their most critical business platforms and how they build AI-powered applications to derive insights from core business data. As an early engineering hire, you'll architect and build the hybrid cloud infrastructure that powers our framework across the largest enterprise environments, with unique performance requirements, security constraints, and scale needs. This isn't about maintaining existing infrastructure. You'll be making foundational decisions about how our framework deploys, scales, and operates in enterprise environments. Your work will directly enable our largest customers to adopt and scale our solution with confidence. This role is open to candidates from the US, UK and Israel. What You'll Build • Data infrastructure for AI: Build robust data pipelines using Python, Spark and other tools that power our agentic workflows and AI agents at enterprise scale, • Hybrid cloud architecture: Design and implement our Kubernetes-native deployment model that works seamlessly across on-prem, AWS, Azure, GCP, and hybrid environments, • Deployment automation: Create tooling that makes deploying and upgrading our framework easy and reliable for customers with varying technical sophistication, • Observability systems: Build monitoring, logging, and diagnostics that help both our team and customers understand system health, usage and performance, • Internal CI/CD & testing: Evolve our internal development pipeline with automated testing frameworks, integration tests, deployment pipelines, and quality gates that let us ship confidently and frequently What We're Looking For Required: • Python, Java, Typescript expertise: You write modern, clean, maintainable code and have shipped production systems with it, • Kubernetes in production: Hands-on experience deploying and operating workloads on Kubernetes, • Distributed computing: Real experience with Spark or similar data processing frameworks at large-scale, • DevOps mindset: You think in terms of automation, reproducibility, and infrastructure-as-code, • Systems thinking: You understand how pieces fit together, including networking, storage, security, observability and scale, • Ownership mentality: You'll wear many hats and own outcomes, not just tasks Bonus Points: • Experience deploying agentic AI workflows in production at scale, • Worked with enterprise customers on deployment/integration, • Experience with Helm, Terraform, or similar tools, • Experience building enterprise software in Java and Typescript, • Understanding of enterprise security/compliance requirements (SOC2, etc.), • Understanding of Mainframe computers and operating systems Why Join Us Early-stage impact: Your decisions will shape how our product works for years. You'll have direct influence on architecture, technology choices, and team culture. Enterprise scale from day one: Our customers are all major enterprises and Fortune 500 companies. You'll solve problems that matter at massive scale, with the urgency and autonomy of a startup. Backed by top investors: We're well-funded by leading VCs with runway to build something significant with focused execution. Small, technical team: We’re a tight group of talented people solving hard problems together. Learn constantly: You'll work alongside experienced engineers, get exposure to cutting-edge AI applications, and tackle problems you haven't seen before.

Title: Engineering Manager Location: London, United Kingdom Candidates must be legally authorized to work in the United Kingdom without sponsorship now or in the future. Salary: 110k-140k Pounds (150-175k USD) + 10% Bonus + RSU's Our client, a progressive LegalTech Saas firm, is looking for a hands on engineering manager who can lead a team of 6-8 mid-sr engineers. The ideal candidate will ensure the efficient delivery of high-quality software solutions by managing project requirements, delegating tasks, and fostering technical excellence. What You’ll Do • Project Leadership: Determine project requirements, develop work schedules, and delegate tasks to meet project goals., • Team Management: Lead a team of engineers, ensuring the highest standards in product delivery and facilitating cross-team communication., • Stakeholder Liaison: Act as a bridge between technical teams and various stakeholders, including management, product managers, and product designers., • Reporting & Risk: Prepare progress reports, deliver presentations to relevant stakeholders, and identify risks to develop contingency plans as needed. Who You Are • Experience: 10+ years of software engineering experience, with 2-3 years in a management role., • Sector Expertise: Experience in SaaS environments and familiarity with cloud-based technologies and architectures., • Leadership: Demonstrated ability to lead, motivate, and scale a diverse team of engineers with strong interpersonal and team-building skills., • Technical Proficiency: Hands-on experience with Java, C#, Typescript, or Python in an enterprise environment. Eligibility • Candidates must be legally authorized to work in the United Kingdom without sponsorship now or in the future., • Our client is not currently sponsoring visas. About the Company Our client provides a cloud-native, artificial intelligence-powered legal solution that simplifies e-discovery, legal document review, and case management. Their scalable, integrated solution enables global enterprises, law firms, and governments to easily collect and process complex data relevant to legal matters. This role can be remote, or hybrid in London.

Consultant – Transmission Planning & Interconnection Strategy Title: Power Systems Consultant (Part-time, 10 hrs/week) Compensation: $150 per hour Objective: Encode power feasibility, timeline, and risk into Nyxium’s decision engine About Nyxium Nyxium is a London-based deep tech company backed by top-tier investors, building an infrastructure intelligence platform for siting and deployability decisions across data centers and energy infrastructure. We are seeking a Senior Power Systems Consultant to strengthen our grid access predictive capability, perform technical modeling, and elevate our grid intelligence beyond basic GIS mapping. The work will be conducted over six weeks, with clear deadlines and deliverables to ensure focus and impact within Nyxium’s ecosystem. Must-Have • 7+ years in utility / TSO / grid planning and operation, • Direct experience with data center or large industrial loads (≥20 MW), • Hands-on with:, • Interconnection process (queues, studies, upgrades, capacity extension), • Substations / transmission levels (HV/MV), • Geography: US or Europe (ideally both exposure) Expectation Define a rule-based system that enables Nyxium to reliably determine whether a site can obtain power, on what timeline, and what constraints may prevent it. The consultant will define the rules once, and Nyxium will apply them automatically across thousands of sites using geospatial data and scoring logic. Scope of Work Grid interconnection Feasibility proxies (Week 1) You will define indicators and heuristics for grid interconnection that Nyxium can compute as proxies for interconnection feasibility. The work will begin with data centers, and the methodology will be expanded in week 4 to additional markets, including battery energy storage and renewables. These proxies will be used to evaluate whether a site can be connected to the grid. They must include indicators of what makes a site power-viable versus non-viable, integrating key constraints such as: · substation and transmission access proximity · generation and load density · voltage level · existing and historical interconnection queue These indicators and heuristic rules will be used to construct a power readiness score, with components that reflect structurally favorable or unfavorable conditions for power supply or grid connection at specific sites, such as indicative spare capacity. They should also propose hard no-go rules that depend on the asset class, for example, “> X km from ≥132 kV → NO for ≥50 MW data centers,” as well as upgrade classes (minor works versus transmission upgrades required and/or new substation build-out). In addition, they should specify, where appropriate, the required inputs Nyxium must collect. Timeline Model (Week 2) On week 2, you will expand upon the first week’s methodology to translate real-world grid behavior into usable timelines. You will define: · Time-to-power classes for each site (e.g. T1: 0–2 yrs, T2: 2–4 yrs, T3: 4–7 yrs) · What conditions lead to each timeline · Typical envisioned upgrade pathways (e.g. transmission expansion vs new substation) and associate costs With this work, we should be able to produce a structured mapping from site characteristics to timeline estimates. The mapping rules (if/then) may be based on factors such as voltage level, region (US/EU), upgrade class, load density, renewable and data center density, and congestion proxies. An estimate of the confidence associated with each proxy and approach must also be provided (e.g., high / medium / low), depending on data caveats and other well-justified dimensions. Red Flags & False Positives (Week 3) By week 3, the methodologies should be safeguarded against hidden blockers. Based on the proxy models developed, critical risk patterns and common failure cases must be well documented. You will define: · Indicators and heuristics that provide early signals such as “site appears viable but cannot realistically secure capacity,” or “upgrade requirements will delay the project beyond viability.” · A list of red flags and decision rules to detect “looks good but will fail” patterns (e.g., “near substation but no spare capacity typical in the region”), along with associated data caveats. · A set of systematic viability checks to be performed before recommending a site. Battery Energy Storage System and Renewable energy Variants (Week 4) In week 4, the models will be reused and expanded to cover battery energy storage systems and renewable energy assets. Indicators and heuristics for the co-location of data centers with these assets will also be developed. The outputs for this week will be: · Novel adjusted weights for: • Grid access, • Land constraint / cooling, • Additional flags:, • interconnection value zones (e.g., high-density of negative prices, curtailment), • co-location viability with data centers Validation (Week 5) You will review real site outputs from Nyxium and answer: • Would you proceed with this site?, • What is missing or incorrect? Integration Requirements Consultant must provide: • Rule tables (clear thresholds), • Weightings (e.g., substation proximity = 30%, voltage = 30%, etc.), • Decision tree (if/then logic), • Examples (good vs bad sites) What success looks like By the end of week 6, the Power Readiness Score and timeline classes must be live in the product. Greater than 80% agreement between consultant judgment and the model across 10 validation sites must be demonstrated, and the decision output must be enabled as: Deployable / Conditional / Not Deployable (power-driven). The methodology and code must be clearly documented, transparent, and reproducible, with a Python-based approach preferred and aligned with industry best practices.

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’ve been recognized with • 17x Google Cloud Partner of the Year awards in the last 8 years., • 3x AWS AI/ML award wins., • 3x NVIDIA Partner of the Year titles., • 2x Snowflake Partner of the Year awards., • We have also garnered top analyst recognitions from Gartner, ISG, and Everest Group., • 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 Experience Level: 8-10+ years Work Location: United Kingdom (Remote) Job Overview: 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 Required 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), • Strong hands-on expertise with: AWS DMS (Database Migration Service), AWS SCT (Schema Conversion Tool), AWS Glue (ETL & data integration), Amazon Redshift (data warehousing), • 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 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’s in it for YOU at Quantiphi: • 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.

About the role If you want to make a difference working with the largest names in pharmaceuticals and at the frontier of pharmaceutical marketing and educational content generation, read on. Circuit Medical is transforming how pharmaceutical companies generate educational and marketing content. Our leading platform is already being used at numerous leading pharmaceutical companies. We’re looking for leading AI Engineers who can take real-world customer and market requirements and turn them into working, scalable products; fast. You’ll own the full journey from prototype to scalable, production-grade systems. The level of role e.g. Principal, Senior will be dependent on candidate experience. What we need Someone who is equally comfortable whiteboarding an agentic architecture, scaling prototypes, and shipping the code behind it. You live at the intersection of R&D and product delivery, and you’re motivated by building products and features that scale and demonstrate returns, and not just those that demo well. Your job · Translate customer and market requirements into AI-powered product features, swiftly moving from concept to working software · Design and build agentic architectures using LLMs: from single-agent workflows to multi-agent systems · Lead on R&D cycles: research new approaches, prototype rapidly, evaluate rigorously, and ship what works in a rapid timeframe · Build scalable, production-ready systems: not throwaway prototypes · Collaborate across product, engineering, and commercial teams to ensure what you build solves real problems · Ship improvements continuously, driven by data and user feedback You should be · Someone who can demonstrate experience with LLMs, AI agents, and agentic design patterns e.g. tool use, RAG, planning, orchestration · Able to translate requirements into clear technical direction, and then execute on it · Genuinely curious: you read papers, run experiments, and stay close to the frontier · Entrepreneurial: you treat each challenge as an opportunity to shine and are tenacious · Motivated by building unique, scalable products that demonstrate impact in a real-world setting · Resilient and comfortable operating with ambiguity; you don’t wait for perfect specs, but continuously ask questions and offer improvements · Independent and self-driven, and a strong collaborator · Driven by customer feedback and customer centricity · Able to demonstrate at least 5 years’ experience in similar roles Stack · Python, React, data engineering pipelines, implements evals to drive robust product performance understanding, API integrations, CI/CD, AWS cloud infrastructure experience · Bonus: experience deploying models in different languages, working to ISO27001 ISMS standards, experience with biotech/pharma This role isn’t for you if… · You need a fully defined roadmap before you start building · You prefer deep specialisation in one narrow area over breadth and ownership · You’re looking for a slow, predictable environment What we offer · Competitive salary and benefits · Opportunities for professional growth · Flexible work hours and remote work · Collaborative, inclusive work environment · Chance to work on cutting-edge AI technologies with real-world impact Selection process · Screening interview with HR · Introductory interview with hiring manager/technical exercise · Capability interview with CEO/team members About Circuit Medical Circuit Medical is a well-established, research-driven global consultancy and AI solutions provider, that maximises the value of medical affairs for the biopharmaceutical industry, supporting leading companies like AstraZeneca, Roche, and Takeda. We're expanding our digital offerings with products designed to enhance quality, efficiency, and performance for clients that ultimately help them to improve patient care. We thrive on curiosity, innovation, collaboration, and delivering high-quality work. We’re a small, fast-moving team that values curiosity, ownership, and shipping over talking. If you want high autonomy, meaningful problems, and the chance to shape products from the ground up then we’d love to hear how you can add to our welcoming and innovative team. We're an inclusive team that celebrates diverse backgrounds and perspectives, providing equal opportunities regardless of race, colour, religion, age, sex, sexual orientation, gender identity, national origin, or disability.

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

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.

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.

Position Overview: SBS is seeking a skilled AI Engineer to join its Data & AI / Engineering organization in the UK or EU. This role will focus on designing, building, and deploying AI-driven solutions that enhance SBS products and client offerings. The ideal candidate will combine strong software engineering fundamentals with applied AI/ML expertise, enabling the development of scalable, production-grade AI systems in a regulated financial services environment. Location: UK or EU Hybrid/Remote: Remote (Occasional travel required) Responsibilities: AI Solution Development • Design, build, and deploy AI/ML models and intelligent applications across SBS platforms, • Develop solutions leveraging:, • Machine Learning (ML), • Natural Language Processing (NLP), • Generative AI (GenAI / LLMs), • Translate business requirements into technical AI solutions that deliver measurable impact Model Deployment & MLOps • Implement and manage end-to-end ML pipelines, from data ingestion to model deployment and monitoring, • Collaborate with DevOps and engineering teams to ensure scalable, reliable production deployment, • Maintain and optimize model performance, accuracy, and efficiency over time Product Integration • Integrate AI capabilities into core banking, payments, and digital platforms, • Work closely with Product Managers, Architects, and Developers to embed AI into customer-facing solutions, • Support API development and microservices architecture for AI-driven features Data Engineering Collaboration • Partner with data engineers to ensure data quality, availability, and pipeline integrity, • Work with structured and unstructured datasets across large-scale, distributed systems Innovation & Continuous Improvement • Stay current with advancements in AI, GenAI, and emerging technologies, • Contribute to experimentation, prototyping, and innovation initiatives, • Identify opportunities to improve automation, efficiency, and decision-making through AI Qualifications: Software Architecture & Design • Application architecture: Strong grasp of clean/hexagonal architecture, dependency injection, SOLID principles, and protocol-based interfaces. Can design well-structured Python services with clear separation of concerns, testable components, and maintainable codebases. This is not optional — the existing system follows these patterns, and new code must be consistent., • API design: Experience designing and maintaining RESTful API contracts. Understands OpenAPI specifications, versioning strategies, schema evolution, and backward compatibility. Can own the API surface that internal consumers depend on., • System design: Distributed systems thinking — understands event-driven patterns, asynchronous communication, eventual consistency, and the trade-offs of different integration approaches. Can reason about how components interact across service boundaries., • Data modeling: Can design domain models, define data flows between system components, and make pragmatic schema design decisions. Understands how data structures affect downstream consumers and the system's evolution. AI & LLM Application Skills • LLM application development: Hands-on experience building production applications powered by LLMs. Must go beyond API calls — RAG pipelines, chain-of-thought reasoning, structured output parsing, multi-step workflows. Candidates who have only fine-tuned models or only called a single provider’s API do not qualify., • Model-agnostic design: This is a sovereign AI system. The candidate must design against standardized API interfaces (OpenAI-compatible, LiteLLM, or equivalent abstraction layers), not couple to any single provider. Must understand model routing, fallback strategies, and how to build systems that can swap underlying models without application-layer rewrites. Experience limited to a single commercial API (OpenAI, Google, Anthropic) without abstraction is insufficient., • Agentic system design: Demonstrated experience designing multi-step AI systems where the model makes decisions about what to do next. This could be via LangGraph, CrewAI, AutoGen, custom agent loops, or any framework — the underlying patterns (ReAct, plan-and-execute, reflection) matter more than the tool., • Prompt engineering depth: Can demonstrate iterative prompt development for complex tasks. Understands few-shot, chain-of-thought, XML/structured prompting, and the behavioral differences between model families and sizes. Critically, understands that prompt strategies must adapt when moving between frontier and smaller OSS models. Python Engineering Production Python: Strong async Python with FastAPI or equivalent framework. Comfortable with Pydantic for data validation, SQLAlchemy for data access, and structured logging (structlog). Writes clean, testable, well-documented code with proper type hints. This is a software engineering role that builds AI systems — not a data science role that happens to write Python. Safeguards for hallucinated tools, loops, partial completion, and unsafe actions. Understands async trade-offs, batching, streaming, and latency accumulation Engineering Qualities • Works within existing systems: The candidate joins a substantial existing codebase and architecture. They must be comfortable reading, understanding, and extending code they did not write — not lobbying to rewrite it., • Production mindset: Thinks about error handling, retry logic, graceful degradation, observability, and security as first-class concerns. Understands that agentic autonomy creates new failure modes that must be anticipated., • Clear communicator: Can explain technical trade-offs to non-technical stakeholders. Can write clear design documents. Can articulate why an agentic approach is or is not appropriate for a given problem. Company Overview At SBS, we’re more than just a technology company; we’re a global fintech partner helping banks and financial institutions transform, innovate, and grow. With over 5,000 employees worldwide and clients in more than 80 countries, our solutions power everything from digital banking and lending to payments and core banking systems. As part of 74Software, we’re backed by a group of leading software companies delivering mission-critical solutions worldwide. Our focus is on delivering long-term value, leveraging cutting-edge technology, and fostering strong client partnerships. Join us and be part of a collaborative, forward-thinking team shaping the future of finance. Why SBS? At SBS, we’re committed to supporting our employees in every aspect of their lives, from health and wellbeing to financial security and lifestyle perks. We offer benefits that help you thrive at work and beyond, including health coverage, retirement plans, paid time off, flexible work options, career development, competitive pay, and global culture perks. Equal Opportunity Employer We are committed to providing equal opportunities and ensuring a fair and inclusive recruitment process. We do not discriminate on the basis of age, disability, gender, sexual orientation, race, religion, or any other protected characteristic.

Purview Data Governance Consultant Our Data & AI team is made up of curious, client-focused professionals who help organisations build trusted, governed, high-quality data solutions. We’re looking for a Purview Data Governance Consultant with strong data governance and data management experience (including data quality and MDM) and hands-on technical skills from a data analyst or data engineer background, with an appreciation of broader cloud architecture and networking. If you’re passionate about helping organisations understand, trust, and govern their data—and you enjoy working at the intersection of governance, platforms, and delivery—we’d love to talk. Come join us As a member of Avanade’s Data & AI practice, you’ll work with clients to design, implement, and embed modern data governance capabilities across Microsoft Purview, cloud data platforms, and analytics ecosystems. You’ll play a hands-on role in helping organisations establish clear data ownership, classification, lineage, and policy enforcement — turning governance from theory into something that genuinely enables analytics and AI. This role is ideal for consultants who are both governance-minded and technically capable, able to work credibly with data engineers, platform teams, and business stakeholders alike. Together we do what matters. What you’ll do • Design and implement data governance solutions using Microsoft Purview Data Governance, including cataloguing, classification, lineage, and domain-based governance models, • Use governance to enable data value creation, discoverability, secure access, and responsible data use, • Work with clients to define data ownership, stewardship, policies, and operating models aligned to business and regulatory needs, • Configure and integrate Purview with Azure data platforms, Microsoft Fabric, Power BI, Databricks, other data sources, and MDM tools, ensuring governance is embedded within delivery pipelines, • Support the implementation and governance of Databricks Unity Catalog, aligning technical controls with organisational data governance objectives, • Analyse data platforms and pipelines to assess metadata coverage, lineage, data quality signals, and policy enforcement, • Collaborate closely with business and technical stakeholders to ensure governance and data quality are practical, usable, and automated wherever possible, • Translate governance concepts into clear, actionable guidance for both technical and non-technical stakeholders, • Help clients move from ad hoc or tool-led governance to sustainable, product-oriented, domain-aligned models, • Contribute to the development of Avanade accelerators, patterns, and thought leadership in data governance and trust Skills and experience • Proven experience as a Data Governance Consultant, Data Analyst, Data Engineer, or similar role within data or analytics programmes, • Hands-on experience with Microsoft Purview Data Governance, including cataloguing, classification, lineage, and policy concepts, • Experience working with or implementing Databricks Unity Catalog, • Strong understanding of modern data platforms and architectures, ideally within Microsoft and Databricks ecosystems, • Practical technical skills in SQL, Python, and data engineering / analytics tooling, enabling effective collaboration with delivery teams, • Experience in a consulting or client-facing environment, engaging stakeholders with differing priorities, • Ability to explain governance concepts clearly and pragmatically, focusing on enablement rather than control, • Experience with technologies such as Azure, Databricks, Microsoft Fabric, Power BI, and data integration tools is advantageous About you Characteristics that set you up for success in this role include: • Pragmatic and outcome-focused, with a desire to make data governance genuinely useful, • Comfortable working across governance, data engineering, and analytics communities, • Curious about how organisations use (and misuse) data, and how better governance can unlock value, • Confident working in uncertain or evolving data landscapes, • Collaborative, supportive, and able to influence without authority, • Keen to learn and stay current with emerging approaches to data trust, governance, and AI readiness Enjoy your career Some of the best things about working at Avanade: • Opportunity to work for Microsoft’s Global Alliance Partner of the Year (20 times), • A minimum of 80 hours per year dedicated to learning, certifications, and professional development, • Access to global Data & AI communities, accelerators, and subject-matter experts, • The chance to work on complex, high-impact initiatives across data governance, analytics, and AI, • Clear and supported career progression across Consultant and Senior Consultant levels Find out more about some of our benefits ___. A great place to work As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look! We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our ___ page

About Euphoric: Euphoric builds AI-first employee benefits administration software for the world’s largest and most prestigious employers. Born out of Peppy Health — a fast-growing, category-defining Series B startup — we spun out in May 2025 to tackle a far bigger opportunity. Global employers spend $3–5 trillion on benefits every year. It’s their second-largest cost after payroll — yet the entire category is still running on legacy systems and outdated assumptions. The space is primed for transformation: despite its scale, it’s been almost completely overlooked by AI-first startups. Incumbents — including one U.S. heavyweight with $2B+ in annual revenue — are constrained by archaic tech stacks and can’t move fast enough to innovate. And this isn’t just a massive market — it’s genuine “tech for good.” Smarter benefits administration, richer analytics, and clearer communication have the power to directly improve the everyday lives, wellbeing, and financial security of millions of employees worldwide. We’re a sharp, high-velocity team with bold ambitions, obsessed with building category-defining technology and partnering with exceptional people who want their work to truly matter. We closed our seed round in October 2025 and are building from a position of strength with a long cash runway. The role: We’re looking for a Software Engineer to bring their ambition, creativity, and technical prowess to join our high-powered team to build the technology that powers the world’s first lovable, AI-native benefits platform. You’ll have real ownership, big targets, and a chance to help shape both the work you do and the company in general. We care less about traditional career paths and more about raw talent, bias for action, and how much fire you bring. What you’ll do: • Build AI-first features end-to-end: You’ll contribute to the design, deployment, and iteration of our next-generation benefits platform features that leverage personalization, experimentation, and AI/ML methods (e.g. agents/LLMs, recommender systems, reinforcement learning) to enhance user experience in a meaningful business domain., • Contribute across the tech stack: You’ll work in React (JavaScript/TypeScript) on the frontend and Python (FastAPI, SQLAlchemy) on the backend, shipping production-ready code and user-facing features in addition to innovative ML work., • Live on the cutting edge of AI tooling: You’ll help push the boundary of what’s feasible with modern AI-powered software development tools (Cursor, Windsurf), keep up with the regular drumbeat of AI advances, and find new and exciting ways to build and explore new features faster., • Participate in a fast-paced iterative environment: Collaborate closely with design, product, and beyond to deliver and iterate on impressive features and prototypes at world-class pace., • Keep code clean and well-tested: Maintain clean, efficient, and tested code with clear documentation for both peers and future reference., • Review, refine, and grow: Actively participate in peer reviews, CI/CD processes, and a growth-minded engineering culture, where you continuously seek to level up your technical skills., • Be a team player: Sometimes you’ll be iterating on ML pipelines; other times you’ll be refining a frontend component or fixing a tricky bug. We need someone who’s excited about the full product journey and moving together as one. Skills & experience: • Industry Experience (2+ years): Prior experience contributing to impactful products in fast-paced or startup environments, with an understanding of both scale and quality from larger tech organisations., • Hands-On Full Stack Skills: Proficiency in React/Typescript and/or Python (RESTful APIs, data pipelines), plus comfort with deploying and maintaining services on modern cloud platforms (GCP preferred, AWS or Azure also fine)., • Applied AI/ML Skills: First-hand experience building and delivering AI/ML features to real users, and an insatiable curiosity to keep up with emerging technologies and trends, • Team-Oriented Mindset: Strong communication skills for explaining complex ideas to technical and non-technical audiences, and a passion for collaborating within cross-functional teams., • Passion and Pride in Shipping: A do-whatever-it-takes attitude to deliver against important business goals that help the entire team win, • Pragmatic Best Practices: An overarching desire to build efficient, scalable, and maintainable code, while learning the tradeoffs between technical debt and delivery speed What we look for: We’re a great bunch but we have some "Euph" cultural non-negotiables. To do well here you will: • Thrive in fast-paced, feedback-rich environments, • Take your work seriously, but not yourself, • Be proactive, playful, and deeply curious, • Want to build something that matters, • Be willing to “do what it takes” What you’ll get: • Salary between £90k - £110k dependent on experience, • Remote-first setup with optional shared work space pass and hubs in London (We will only consider UK or Europe based candidates, with a preference for those closer to London), • Apple devices and the best AI tooling, • Private healthcare via Vitality, • 3% employer pension contribution (min 3% employee contribution), • Meaningful early-stage share opportunities, • 25 days holiday per year, plus bank holidays, • Career rocket fuel - real growth, real ownership, real impact

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 Data Scientist Location: Manchester (Hybrid – 2 days onsite) Salary: £85,000 + 10% bonus The Opportunity This is an opportunity to join a high-performing data function within a large-scale, product-led organisation, building intelligent systems that directly influence commercial decision-making at scale. You’ll play a key role in developing a next-generation decisioning platform used by operational and commercial teams to optimise outcomes in real time. This is not a research-only role — your work will be deployed, used, and measured in live environments. If you’re motivated by solving complex, high-impact problems and want to see your models drive real-world results, this is the kind of environment where your work will genuinely matter. The Role As a Senior Data Scientist, you will: • Design, build, and deploy machine learning models that underpin core decision-making systems, • Develop pricing, segmentation, and behavioural models to drive commercial optimisation, • Work closely with product, engineering, and business stakeholders to ensure solutions are practical, scalable, and impactful, • Contribute to the development of a production-grade data science capability, including model deployment, monitoring, and continuous improvement, • Translate complex modelling outputs into clear, actionable insights for non-technical stakeholders What You’ll Be Working On • Decisioning and recommendation systems used in live operational environments, • Pricing and optimisation models balancing multiple commercial factors, • Customer and behavioural segmentation models, • Experimentation and measurement frameworks to validate impact, • Strong background in data science, machine learning, or statistical modelling, • Proven experience delivering models into production environments, • Commercial awareness — you understand how data drives business decisions, not just technical outputs, • Experience working cross-functionally with product, engineering, and business teams, • Ability to operate independently and take ownership of complex problems, • Python (e.g. pandas, scikit-learn, TensorFlow/PyTorch where relevant), • SQL and large-scale data processing, • Cloud-based environments (e.g. AWS, Azure, or similar), • Work on high-impact systems used daily in real-world decision-making, • Join a growing data function with strong investment and leadership backing, • Opportunity to shape how data science is applied across a complex organisation, • Hybrid working: 2 days per week onsite in Manchester, • Competitive salary with performance-related bonus, • Opportunity to work on complex, meaningful problems at scale

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.

Senior Data Engineer Remote UK, £90,000 to £100,000 This is an opportunity to join a fast scaling, digital first consumer platform at a pivotal point in its data journey. They are investing heavily in their data infrastructure and are building a high performing, software led data engineering team to support real time, high volume analytics across the business. You will have genuine influence over how data engineering is done, working on modern tooling and best practice from day one. The Company They are a UK based, consumer facing digital platform operating in a highly regulated online environment. Since launching less than a decade ago, the business has grown rapidly, supported by significant recent funding and a strong focus on product, user experience and responsible engagement. Data is central to their growth strategy, and they are building a modern, scalable analytics platform to support this ambition. The team operates fully remotely across the UK and Europe. The Role • Design, build and own end to end data pipelines supporting real time and batch analytics, • Work on high volume, low latency data use cases with a strong focus on reliability and scalability, • Develop production grade data solutions using software engineering best practices such as CI/CD, testing and version control, • Contribute to the design of data models and analytics layers used across the business, • Help implement and mature staging, testing and deployment processes across the data platform, • Strong commercial experience as a data engineer in modern, cloud based environments, • Advanced Python and SQL, with experience using PySpark or similar distributed processing frameworks, • Experience building and maintaining data pipelines in AWS using services such as S3, Glue or EKS, • Hands on experience with modern analytics stacks such as Snowflake, dbt and Iceberg, • Familiarity with orchestration tools such as Dagster or Airflow, • Strong understanding of data modelling concepts and analytics best practice, • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand If you are a Senior Data Engineer looking to make a real impact in a growing, product led business, apply now to learn more about the opportunity.

About Inworld Inworld is a product-oriented research lab of top AI researchers and engineers, developing best-in-class realtime multimodal models and the only realtime orchestration platform optimized for thousands of queries per second. We’ve raised more than $125M from Lightspeed, Section 32, Kleiner Perkins, Microsoft’s M12 venture fund, Founders Fund, Meta and Stanford, among others. Our technology has powered experiences from companies such as NVIDIA, Microsoft Xbox, Niantic, Logitech Streamlabs, Wishroll, Little Umbrella and Bible Chat. We’ve also been recognized by CB Insights as one of the 100 most promising AI companies globally and have been named one of LinkedIn's Top 10 Startups in the USA. Who We're Looking For A year ago, reliably working agentic systems and sub-second multimodal inference at scale barely existed. Nobody has a decade of experience here. So we're not screening for a resume template — we're looking for strong people from varied backgrounds who learn fast, thrive in ambiguity, and can show us what they've built, broken, and understood. Experience We Find Useful You don't need all of this. But you need enough to make a case. • Inference Optimization. Deep understanding of modern serving frameworks and techniques like vLLM or TRT-LLM., • Model Acceleration. Hands-on experience with quantization, distillation, caching strategies , continuous batching, paged attention, and speculative decoding., • High-Performance Systems. Proficiency in C++, CUDA, Rust, or highly optimized Python. You know how to profile code and squeeze every ounce of performance out of NVIDIA GPUs., • Distributed Systems & Scaling. Experience with Kubernetes, Ray, custom load balancing, multi-GPU/multi-node inference, and reliably handling thousands of concurrent connections., • Public work. Non-trivial systems programming projects, open-source contributions to major inference engines, or deep-dive technical write-ups., • Full-cycle ownership. You can take a model from the research team, containerize it, optimize its serving, and ensure it runs reliably in production., • Background. PhD in CS, Physics, Math, or equivalent practical experience building backend or ML systems. Who Thrives Here • You don’t need a roadmap to start walking; you’re comfortable picking a direction and building the map as you go., • You believe engineering isn't finished until it’s shipped and stable. You have a bias for impact over purely theoretical optimizations., • You don't just ship code; you obsess over the why. You’re the first to question an architecture if you think there’s a better way to solve the core latency or throughput problem., • You aren't satisfied with "the PM said so." You thrive on deep context and want to understand the fundamental logic behind every decision we make. What Working Here Is Like We hand you unclear problems and expect you to make them clear. We value engineers who say "I don't know yet" and then design the benchmark or prototype that finds out. We treat performance, latency, and reliability as first-class product features, not a box to check before launch. Impact comes before everything else, though we support sharing work and open-source contributions that move the field forward. Your work should be visible. Flat structure, fast iterations, minimal process theater. The base salary range for this full-time position is £140,000 – £200,000. In addition to base pay, total compensation includes equity and benefits. Within the range, individual pay is determined by work location, level, and additional factors, including competencies, experience, and business needs. The base pay range is subject to change and may be modified in the future. Candidates must already have the legal right to work in the United Kingdom, as visa sponsorship is not available for this role. For candidates interested in relocating to the San Francisco Bay Area in the future, full U.S. visa and relocation support may be available, subject to business needs and applicable legal and work authorization requirements.

Currently working with a trading technology firm hiring for a Quant Developer to sit directly alongside traders and quant researchers, focused on developing and optimising ultra-low-latency trading strategies within a high-performance C++ environment. The role is heavily engineering-focused and would suit someone who enjoys working close to the trading stack, owning and improving tick-to-trade performance, and writing production-grade modern C++ in latency-sensitive systems. Key areas: • Designing and optimising low-latency trading strategies, • Translating research models into production systems, • Profiling and performance optimisation across critical paths, • Multithreading, concurrency and lock-free programming, • Monitoring live systems and improving observability, • Working closely with core trading and infrastructure teams on performance improvements They are looking for someone with: • Strong modern C++ experience (C++17+), • Background in performance-critical or latency-sensitive systems, • Strong systems/programming fundamentals, • Good understanding of concurrency and multithreaded architectures, • Exposure to monitoring/debugging live production systems Nice-to-have exposure includes: • TCP/UDP, multicast or FIX, • Trading or financial markets, • AWS/cloud research environments, • Python/Bash tooling The environment is highly collaborative and engineering-led, with a strong focus on ownership, performance and direct impact on live trading systems.

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).

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.

Senior Core Systems Developer Remote - UK or Europe About us At Auros, we’re dedicated to advancing the cryptocurrency ecosystem through unparalleled liquidity and market-making services. We’re one of the largest participants in the market, trading across 10+ global locations, facilitating 3-4% of global daily volumes, and have connectivity to over 50 venues. What sets us apart, though, is our culture. We believe in hiring smart people and empowering them to do their best work. From day one you’ll have the autonomy and support to really excel. Our relentless focus on delivery drives us to continuously push boundaries and achieve exceptional results, all while offering abundant opportunities for personal and professional growth in the dynamic realm of digital assets. The Opportunity • Develop trading system infrastructure in Python and C# as directed., • Work with traders, middle office and other stakeholders to understand the core problems that each of the teams is facing, in both Cefi and Defi environments and design solutions., • Deploy trading system components in to our production environment., • Be responsible for troubleshooting system issues as and when they occur., • Identify opportunities for system improvements., • Engage with the team during system design discussions, code reviews, trading idea brainstorms. Who you are Our ideal candidate will have: • Software engineer with 5+ years experience in developing clean, maintainable, performant code., • You have 3+ years experience developing in both Python and C#., • Good programming skills, with a strong understanding of data structures and algorithms., • You can find the balance between delivering clean, testable, reliable code and rapidly deploying new system features to take advantage of market opportunities., • You are reliable, take pride in delivering robust software and are willing to be on call to support the systems you develop., • You’re able to precisely articulate software concepts and designs., • You have a Bachelor's degree (or above) in Computer Science, Software Engineering or similar, with excellent results. What We Offer in Return • Opportunity to work at the forefront of the digital asset industry., • Remote and flexible work., • Autonomy and a flat structure means you can contribute your ideas from day one and help shape the foundation that will power our future business. At Auros, we value nimbleness, drive for success, owner mentality, and collaboration. Join us in shaping the future of financial services across Asia and beyond!

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.

The Opportunity We are an Imperial College London med tech spinout building AI-powered clinical decision-support tools certified as Software as a Medical Device (SaMD). Our platform uses real-world EHR data to identify patients at risk of preventable harm — giving NHS clinicians time to act. We are a small, high-ownership team operating at the intersection of clinical AI and healthcare infrastructure. This is a foundational engineering hire with a clear path to Head of Engineering as we scale. The Role You will own and shape the technical core of a live clinical AI platform — working across backend services, ML infrastructure, and hospital data integrations. You will have a direct line to the CTO and CEO from day one, with real influence over architectural decisions on a system processing real patient data across NHS trusts. What You'll Do 🔹 Own and extend the backend and ML infrastructure of a production SaMD system 🔹 Design and implement integrations with hospital systems (EHR, HL7/FHIR), including partnerships with major healthcare data platforms 🔹 Build and maintain Python/Azure-based services — APIs, data pipelines, monitoring and audit frameworks 🔹 Write software that meets medical device quality standards, producing artefacts that support regulatory submissions 🔹 Collaborate with clinical, data science, and regulatory stakeholders 🔹 Help define engineering culture and processes as the team grows around you What We're Looking For ✅ 5+ years of professional software engineering experience with a strong Python background ✅ Proven experience building and operating production services on Azure or AWS ✅ Comfort with data-heavy systems — pipelines, databases, REST APIs — and a taste for clean architecture ✅ Strong written communication; able to document work to regulatory audit standard Nice to Have ⭐ Experience in a regulated software environment (medical devices, fintech, defence, or similar) ⭐ Familiarity with FHIR/HL7 or clinical EHR systems ⭐ Exposure to ML model deployment or monitoring in production Tech Stack Python · Azure · Terraform · Docker · ML Pipelines · FHIR / HL7 · GitHub Actions What's on Offer 💰 Competitive renumeration package, depending on experience 🏖️ 25 days annual leave + bank holidays 🏥 Access to clinical and academic networks 🔀 Flexible hybrid working, London base Growth Path As we move through our next funding round and scale clinical deployments, the expectation is that you grow into Head of Engineering or equivalent — owning technical strategy, building a team, and sitting at the table for product, regulatory, and commercial decisions.

Gameplay Programmer (UE5 Narrative FPS - 3Cs) Awe Interactive is a passionate and dedicated team of developers committed to creating memorable and immersive gaming experiences. We are currently working on an exciting narrative-driven FPS that will capture the imagination of gamers around the world. We are now looking for a talented and motivated Gameplay Programmer to join our team and help us bring our vision to life using Unreal Engine 5. We are a small independent developer with both Indie and AAA experience and a reputation for innovation. We are an all-remote studio. If you have a strong desire to have a big impact at an independent game studio please get in touch. We are specifically interested in candidates with good “game sense” and “game feel” in the FPS space with an equally strong understanding of C++ in UE5. Someone who can thrive in an big indie workplace where “make grenades work” might be the total brief and a solid implementation is expected. Responsibilities: • Maintain an existing FPS Pawn, Controller and Camera. Implementing new abilities, weapons and features and polishing the edges to a III shine., • Work closely with the animation, design, art, and programming teams to create and implement gameplay systems, tools and mechanics for a FPS., • Contribute to the development of our narrative FPS using Unreal Engine 5, with an understanding of performance optimization and maintainable code, • Participate in code reviews, providing and receiving constructive feedback, and maintaining code quality standards, • Proactively identify, diagnose, and resolve gameplay issues and bugs, ensuring a polished and enjoyable gaming experience, • A minimum of 2 years of industry experience in game programming (unless your Uni portfolio happens to contain a FPS Prototype written in C++), • Bachelor's degree in Computer Science, Game Development, or a related field, or equivalent experience, • Strong programming skills in C++ and experience with Unreal Engine (UE4 or UE5), • Interest in gameplay programming concepts, including AI, physics, animation, and user interface, • A strong portfolio demonstrating relevant skills and projects or Experience working on at least one shipped game title (or extremely impressive University project), • Strong problem-solving skills and the ability to work well in a team-oriented environment, • Passion for game development and a deep understanding of RPG and FPS gameplay mechanics, • Strong communication skills, • Experience with Blueprints scripting in Unreal Engine, • Knowledge of when LLMs are helpful, and when they’re a hindrance, • Knowledge of other programming languages, such as Python or C#, • Background in mods or creating custom content for existing games, • Experience with WWise, • Experience with serialisation of game state (in a single player or multiplayer context), • Knowledge of Unreal’s input system If you are passionate about game development and eager to contribute to an exciting narrative FPS, we would love to hear from you. Please apply with your CV, a cover letter, and a link to your portfolio or examples of your work.

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).

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

Staff Software Engineer – AI/ML (Agentic AI) Engineering | UK Remote / London (hybrid) Overview My client is a fast-growing, product-led technology company investing heavily in AI and next-generation machine learning solutions. They are seeking a Staff Software Engineer with experience in agent-based AI systems to help design and deliver advanced AI-driven products. The Role This is a hands-on technical leadership role focused on building scalable AI/ML systems, with a particular emphasis on agentic AI and modern machine learning approaches. You will play a key role in shaping technical direction, establishing best practices, and delivering high-quality systems from concept through to production. The role also involves mentoring engineers and contributing to the growth of a high-performing team. Key Responsibilities Project Ownership • Lead the design and delivery of AI/ML initiatives across the full lifecycle, • Build and deploy models, data pipelines, and production systems Cross-Functional Collaboration • Work closely with Engineering, Product, and DevOps teams, • Support integration of AI capabilities into wider platforms Technical Leadership • Provide guidance on AI/ML frameworks, tools, and best practices, • Contribute to the development of agent-based AI systems and workflows Mentorship & Communication • Mentor engineers and support technical development, • Promote strong collaboration across teams Problem Solving & Optimisation • Identify and resolve challenges in AI/ML systems, • Improve performance, scalability, and reliability Governance & Quality • Ensure high standards around model performance, data quality, and compliance Documentation & Knowledge Sharing • Maintain clear documentation and contribute to internal best practices Skills & Experience • 7+ years’ experience in AI/ML engineering, including production systems, • 3+ years in a technical leadership role, • Strong programming skills (e.g. Python or similar), • Experience with machine learning, data pipelines, and scalable systems, • Knowledge of modern AI approaches, including large language models and agent-based systems, • Experience working with cloud platforms (AWS, GCP, or Azure), • Understanding of distributed systems and scalable architectures, • Experience with CI/CD, microservices, and MLOps practices, • Ability to mentor and support engineers, • Strong collaboration and communication skills, • Experience working in Agile environments, • Degree in a relevant technical field (or equivalent experience) Tech Environment (indicative) • Backend languages (e.g. Python or similar), • Cloud platforms (AWS / GCP / Azure), • Containerisation and orchestration tools, • Infrastructure as code, • Observability and ML tooling, • Modern AI/LLM frameworks, • Relational and non-relational databases, • Version control and CI/CD tooling Benefits • Competitive salary, • 25 days’ annual leave + bank holidays, • Sick pay package, • Flexible / remote working, • Enhanced parental leave, • Pension scheme, • Career development opportunities Additional Information This role is not eligible for visa sponsorship.

If you are looking to progress a career in computer programming or web development, then this training and placement programme is made for you? Skills shortages in the IT sector are driving the need for qualified, entry-level career seekers and career changers. All you need is a desire to work hard and invest some time and money in yourself to build the foundations for a new career. We help you start your career journey in programming by firstly ensuring you have the necessary industry recognised certifications and skills required to build a career. We ensure you market yourself properly through a structured career driven cv and LinkedIn profile highlighting your skills, any experience, and relevant transferable skills from other roles. Finally, our tutors will help you create a credible portfolio to demonstrate your skills and abilities to potential new employers. We have many years of experience in helping graduates find their first roles in top UK companies and organisations who need to employ entry-level qualified programming staff that can hit the ground running with up-to-date skills gained from this programme. The programme is specifically designed for individuals with none or limited experience but a real desire to start a career. Therefore, please do not apply if you are already an experienced programmer. Whether you are working full-time, part-time or are unemployed, this package has the flexibility to be completed at a pace that suits you and can be completed in as little as a few weeks or a few months (see steps 1 to 4 below). Study timings are approximate and assume you can study for a minimum 5 hours per week. *Training times will be reduced if you are able to invest more time each week. Stage 1 – Learn HTML and CSS (*up to 12 weeks) The first step is completing a selection of professional and industry-recognised courses. We have carefully selected these courses to give you the most out of both your learning and employment journey. • HTML Essentials (*up to 6 weeks) Once the HTML & CSS courses are complete, your trainer will move you forward to the next stage. Stage 2 – Additional Online Training (*up to 12 weeks) The second step includes a selection of more advanced courses to get you up to speed for what is required and relevant for many entry level programming roles and help you get a step ahead. • Learn the Command Line (*1.5 weeks), • Learn Git & GitHub (*1.5 weeks), • Learn JavaScript (*1.5 weeks) Python is a highly versatile programming language and due to its relatively “easy to understand” commands now one of the most common programming languages used. You can use it for both small and complex tasks, and it is used across many different industries broadening your scope of opportunity. Step 3 - Building a Portfolio Website Project (1 week) Your tutor will provide you with some exercises and guidelines to help you build your own personalised portfolio. Having a strong portfolio to which demonstrates and showcases your range of skills and ability is essential within a programming career. In addition, we will now provide additional Study Courses for your continued development and broadening of your skills. Completion of these course is voluntary but recommended. • AWS Certified Cloud Practitioner We will now work with you to help you secure your first role in a role utilising your new skills in a coding, programming, or web development role. There are many entry level roles where your newly learned skills can be applied meaning a vast array of opportunities are now available to you. Examples of some of these are listed below: - • Junior Developer, • Website Support Developer, • Junior Web Developer, • Content Editor, • Wordpress Developer, • Junior Software Developer, • Junior Front or Back End Development Our money back Job Guarantee Due to our success and confidence in the results we deliver, and the skills shortage for entry-level coding staff we guarantee you will secure a job upon completion of your study programme, or we will refund you 100% of your course fees back. This is subject to our terms of learning/ terms of business. Qualification for this programme? To ensure we maintain a high level of support for our candidates, we limit spaces to this programme. Apply before the deadline and one of our consultants will speak with you to check your eligibility for the programme.

DevOps Engineer | Up to £85,000 | Hybrid - Manchester Here at Burns Sheehan, we are working with a growing technology organisation in the assessment and recruitment space, currently scaling both organically and through acquisition. As a result, their tech landscape is evolving quickly, with multiple products and cloud environments to bring together. As a result, they're looking for a Senior DevOps Engineer to join the team and help introduce structure, consistency, and best practice across a genuinely multi-cloud estate. This is a hands-on role with a strong focus on improving operations, optimising cloud usage, and building scalable deployment processes across a number of products and engineering teams. Core Responsibilities: • Support and optimise cloud environments across AWS and Azure, • Implement best practices across infrastructure, deployments, and platform operations, • Own and improve CI/CD pipelines across multiple products and teams, • Drive cost optimisation across cloud environments, identifying inefficiencies and reducing spend, • Work closely with engineering teams to support deployments, releases, and platform stability, • Help standardise infrastructure and processes across a growing, multi-product environment Requirements: • Strong experience across AWS and Azure, • Background in infrastructure / operations with a move into DevOps, • Experience building CI/CD pipelines (GitHub Actions, Azure DevOps or similar), • Understanding of cloud infrastructure, networking, and security principles, • Experience with Infrastructure as Code (Terraform, Bicep, or CloudFormation), • Exposure to containerisation (Docker, Kubernetes, ECS) and scripting (Python, Bash) is beneficial, • This is a great opportunity for someone who enjoys working across varied environments and wants to play a key role in bringing structure and consistency to a growing platform. There’s a strong focus on ownership, with the chance to influence how DevOps practices are implemented moving forward. Sound interesting? Apply today and we’ll be in touch. Senior DevOps Engineer | Up to £85,000 | Hybrid - Manchester

MLOps Engineer – AI Consultancy Manchester | £45k–£65k + Equity + Benefits We’re hiring for a MLOps Engineer to join a fast-growing AI consultancy based in Manchester City Centre (3 days on-site). This role suits an engineer moving into MLOps who wants hands-on exposure to deploying and operating machine learning systems in real-world environments. What you’ll be doing • Supporting the deployment and operation of ML models in client environments, • Working closely with Data Scientists, ML Engineers, and MLOps colleagues, • Contributing to production-grade Python services and ML pipelines, • Helping provision and manage cloud infrastructure for ML workloads, • Learning best-practice MLOps patterns across research, prototyping, and production What we’re looking for • 1–3+ years’ experience in Data Science, ML Engineering, Software Engineering, or DevOps, • Strong Python skills and a desire to write production-quality code, • Experience training ML models, • Exposure to cloud platforms (AWS, Azure, or GCP), • Familiarity with Docker, Git, and Linux, • Clear interest in MLOps and operational ML systems, • Excellent communication skills, • Eligible for SC clearance Nice to have • Experience deploying models or APIs (e.g. FastAPI), • Kubernetes, CI/CD, or Infrastructure as Code exposure, • ML frameworks such as PyTorch, TensorFlow, or scikit-learn Perks • £45k–£65k salary, • EMI share scheme (equity), • Personal learning & development budget, • 25 days holiday (rising to 30), • Pension

Lead MLOps Engineer – AI Consultancy Manchester | £80k–£100k + Equity + Benefits We’re hiring a Lead MLOps Engineer to drive the technical direction of MLOps across our growing AI consultancy (Manchester City Centre, 3 days on-site). This is a senior, hands-on role combining architecture, delivery leadership and management. What you’ll be doing • Acting as technical lead on complex client engagements, • Designing and overseeing end-to-end ML platforms and MLOps architectures, • Managing Mid and Senior engineers, • Defining technical standards and MLOps best practices, • Working with clients to translate business goals into scalable ML solutions, • Supporting project scoping, pre-sales, and technical strategy What we’re looking for • Significant experience delivering production-grade ML systems, • Deep expertise in Python and modern ML frameworks, • Strong cloud and infrastructure background (AWS, Azure, or GCP), • Extensive experience with Docker, Kubernetes, CI/CD, and IaC, • Proven ability to build, deploy, monitor, and operate ML systems at scale, • Comfortable leading a team while staying hands-on, • Excellent stakeholder communication skills, • Eligible for SC clearance Nice to have • Experience building internal MLOps platforms or tooling, • Strong views on observability, reliability, and ML monitoring, • Experience with LLMs, agents, or emerging AI technologies Perks • £80k–£100k salary, • EMI share scheme, • Generous L&D budget, • 25 days holiday (rising to 30), • Pension

My client based just outside Manchester are looking for 2 x Python Developers with good SQL skills. 6 month contract, immediate starts, Outside IR35, 2 days a week in office. Key requirements * 3+ years of Python in production environments * Strong AWS experience across core services * Strong SQL skills for querying, transformation, and optimisation * Experience with Apache Spark or serverless architectures Core responsibilities and skills * Build and maintain real-time and batch ETL pipelines using Python on large, complex datasets * Write clean, scalable Python code for data ingestion, transformation, and processing * Design and optimise SQL queries for performance, cost, and reliability across large data volumes * Model and transform data into well-structured, reusable datasets for downstream use * Work with distributed data processing tools such as Apache Spark to handle high-volume workloads * Improve existing pipelines by identifying bottlenecks and refactoring code and queries * Develop and maintain data workflows, scheduling, and orchestration processes * Provision and manage AWS infrastructure using Infrastructure as Code tools such as Terraform or CloudFormation * Work with services such as S3, Lambda, and other serverless components to build scalable data solutions * Collaborate with analysts, data scientists, and engineers to deliver high-quality data products...

Senior DevOps Engineeropportunity with a leading client. Role Highlights: Location: Manchester (Hybrid 2 to 3 days onsite) Rate: £450/day (Inside IR35) Tech Stack: GCP, Java, Python, Jenkins, DBT, Composer, Dataplex, Ataccama Key Responsibilities: Design & implement DevOps pipelines and automation Work within GCP ecosystem for data & platform engineering Drive CI/CD, tooling, and DevOps best practices Collaborate with engineering teams and support delivery AMRT1_UKTJ ...

Technical Architect – Data Platforms Location: London / Manchester (Hybrid) Clearance:Active UK SC Clearance (mandatory) Circa £65,000- £85,000 Overview We are looking for an experienced Technical Architect to design and evolve large-scale, cloud-based data platforms. The role focuses on AWS data ecosystems with growing adoption of Microsoft Fabric, supporting enterprise clients through platform build, migration, and optimisation. Key Responsibilities • Define architecture for data ingestion, processing, and access layers, • Design scalable, resilient data platforms (hub-and-spoke, lake/lakehouse), • Lead implementation of batch and real-time pipelines (Kafka, APIs, SFTP), • Architect solutions using:, • AWS (S3, EMR, Glue), • PySpark / Python, • Support cloud migrations and platform modernisation, • Ensure best practices in CI/CD, Terraform, observability, and governance, • Handle schema evolution, data quality, and performance optimisation, • Collaborate across engineering, DevOps, and business teams, • Provide technical leadership and mentoring<...

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 engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The role We're looking for a Lead Software Engineer to be the most senior technical voice in one of our product squads, working as a technical co-leader alongside the Engineering Manager. You'll own the squad's technical direction and engineering quality end to end, from architectural decision making and hands-on delivery, to mentoring engineers and shaping how we build across the organisation. This role demands genuine depth in AI. You'll be leading LLM powered feature development and setting the standard for how AI tooling amplifies the whole engineering process, combined with the full-stack and cloud-native chops to back it up. What you'll be doing • Setting technical direction for your squad. Owning architectural decisions, managing technical risk, and representing the engineering perspective at our Architecture Review Board, • Driving adoption of AI coding tools across the full SDLC, from planning and design through code review, testing, deployment and setting the bar for how the squad works, • Delivering production grade code across the full stack: Node.js or Python backends, event-driven AWS architecture, and React where the squad needs it, • Mentoring and growing engineers across AI and full-stack domains, through code reviews, design documents, and day-to-day pairing, • Collaborating with platform teams to consume shared capabilities and contribute reusable patterns back, not building one-off solutions when a platform component will do, • Ensuring everything we ship is compliant-by-design, auditable, and built to the standards expected of software in FCA regulated financial services What we're looking for • A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production, • Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what it ships, • Strong hands-on AI/LLM skills: prompt engineering, RAG, model evaluation and agent frameworks. You know how these work in production, not just in demos, • Deep expertise in Node.js, with solid experience in the other; comfortable switching contexts depending on what the problem needs, • Cloud-native development on AWS. Serverless, event-driven, Lambda, with an instinct for well designed, maintainable systems, • A genuine curiosity about where AI is going and the judgment to separate signal from noise when recommending what to adopt, • An instinct for building responsibly. You care about auditability, compliance, and the downstream impact of what you ship Why Aveni • You'll work at the frontier of applied AI in a domain where it actually matters, helping financial services firms serve their clients better and meet growing regulatory obligations, • AI-native engineering culture: we use AI tools seriously, across the full development process, and we're always looking to push further, • High impact from day one. As a Staff Engineer, your technical decisions will shape the product, the platform, and the engineers around you, • A talented, collaborative team building something genuinely novel, with the backing, the architecture, and the proprietary models to do it properly Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. 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.