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Multi-Skilled Maintenance Engineer Location: Speke Salary: £43,000 - £44,000 Industry: Manufacturing Reference: ASPLIV I’m recruiting a Multi-Skilled Maintenance Engineer on behalf of a well-established extrusion manufacturer. This is an excellent opportunity for a hands-on, electrically biased engineer to join a growing and technically advanced production environment, working on high-output extrusion and converting machinery. The successful candidate will be responsible for supporting continuous extrusion operations through both planned and reactive maintenance. This is a key role in ensuring maximum uptime across production lines, with a strong focus on electrical fault finding, mechanical reliability, and process efficiency. The role is electrically biased (60/40 split) and suits someone confident working in a fast-paced, 24/7 production-style environment. Key Responsibilities • Carry out planned preventative maintenance (PPM) across extrusion and converting machinery., • Diagnose and repair electrical and mechanical faults to minimise downtime., • Respond quickly and effectively to breakdowns across production lines., • Fault-find on motors, drives, inverters, sensors, and pneumatic systems., • Maintain and repair vacuum conveying systems including vac pumps, hoppers, and load cells., • Support maintenance of blown film extrusion lines and downstream equipment., • Work on slitter rewinders, bagging machines, recycling systems, and film handling equipment., • Carry out strip down, inspection, repair, and rebuild of mechanical and electrical components., • Ensure all work is completed in line with strict health & safety and quality standards., • Work closely with production teams to maintain consistent output and efficiency., • Maintain accurate maintenance records and update CMMS systems., • Support continuous improvement and reliability projects across site. Key Skills & Experience • Recognised engineering qualification, • Strong electrically biased background (60/40 electrical to mechanical split)., • Experience within extrusion, plastics manufacturing, manufacturing or similar continuous process environments preferred., • Strong understanding of electrical systems, • Good mechanical knowledge including pneumatics, gearboxes, and mechanical assemblies., • Experience working on extrusion lines, vacuum conveying systems, and packaging machinery preferred, • Strong fault-finding, diagnostic, and problem-solving skills., • Ability to work independently and take ownership of equipment performance., • Strong awareness of health & safety and quality standards in a manufacturing environment., • Proactive, hands-on, and reliable approach to maintenance. Package & Benefits • Monday to Friday: 08:00 – 17:00, • Salary: £43,000 - £44,000, • 1 week on call every 3 weeks paid at x1.5, • 25 days annual leave + Bank Holidays, • In service life assurance, • Company pension, • Long-term stability To Contact Direct Daniel Barnett Managing Consultant 0151 209 2050 daniel.barnett@aspion.co.uk At Aspion, our core values have been built around the importance of transparency, innovation, passion and collaboration. As such, we are committed to open communication and the protection of your privacy. We have updated our policies in line with new General Data Protection Regulation laws to make it easier for you to understand how we collect, store and handle your data – These can be viewed on our website.

Lead AI Engineer Hybrid Working on Client Site £90,000 to £110,000 plus bonus and benefits This is a standout opportunity to shape and deliver cutting‑edge digital solutions that drive real operational impact. You will work directly with clients, embedding AI, advanced analytics, and digital tools into live environments and seeing your work translate into tangible outcomes. The Company This organisation is known for delivering meaningful, measurable change across both public and private sectors. They partner closely with clients to solve complex challenges using AI, data science, and digital innovation. Their culture is collaborative, low‑ego, and centred on developing exceptional talent. As they scale their digital capabilities, you will be joining a growing team with significant influence on its future direction. The Role • Identify high‑impact opportunities to apply AI, data science, advanced analytics, and digital tooling., • Lead technical workstreams, including the design and delivery of machine learning solutions and digital tools., • Work closely with client teams on the ground to embed solutions directly into operations., • Guide multi‑disciplinary teams that combine people, processes, and technology to deliver sustainable results., • Translate complex technical concepts into clear, actionable insights for non‑technical stakeholders., • Mentor colleagues and help shape best‑practice approaches across digital programmes., • Stay current with emerging technologies and bring innovative ideas into client delivery. Client site travel is essential as you will drive change alongside client teams. Your Skills and Experience • Strong commercial experience taking digital ideas from concept through to operational impact., • Deep capability in AI, data science, advanced analytics, or digital tooling., • Ability to turn technical designs into practical, in‑operation solutions., • Confident leading teams and managing stakeholders across technical and non‑technical backgrounds., • Skilled at communicating complex ideas simply and clearly., • A hands‑on, client‑centric approach with a focus on delivering measurable outcomes., • Comfortable working on‑site with clients to drive change in real time. What They Offer • Clear progression pathways with structured development support., • Exposure to high‑impact projects across diverse sectors., • A collaborative digital community with access to the latest technologies. How to Apply If you are excited by the opportunity to deliver meaningful, data‑driven impact, please apply with your CV.

.NET Developer - Global Sports Company – Liverpool (Tech stack: .NET Developer, .NET 10.0, ASP.NET Core, C# 14, .NET Aspire, CI/CD, Azure DevOps, EF Core 10.0, Agile, HTML Living Standard, CSS Living Standard, Programmer, Full Stack Engineer, Architect, .NET Developer) Our client is a global sports brand that operates in over 115 countries worldwide. They are the biggest sports company in Europe and the second largest on the planet! Over the past 30 years they have been providing high performance athletes with the tools they need to remain at their peak. They are looking to branch out and take a foothold in the sports science arena. In particular, they are looking to move into the field of high performance data analytics. They are aiming to help athletes utilize the latest sport science technology to analyze their performance and help them raise their game. They have recently signed ground breaking sponsorship deals with several high profile sports teams and national athletics squads. As a result of this there are a number of Greenfield software development projects that require talented .NET Developer to build software that will help athletes run faster, jump higher and push themselves closer to their limits than they’ve ever been before. We are looking for .NET Developer that can hit the ground running and be instrumental in the creation of stylish and innovative new web applications and data analytics software. Every possible resource will be at your disposal to help you achieve this. We are looking for .NET Developer that have a strong background in .NET, .NET Core, C# and Azure SQL. Training will be provided into: .NET 10.0, C# 14, .NET Aspire, CI/CD, Azure DevOps, EF Core 10.0, Agile, HTML Living Standard, CSS Living Standard and Azure Cosmos DB. All positions come with the following benefits: • 15% bonus, • Generous pension, • Private healthcare, • Training allowance of £9,700 per year, • Free lunch, • Free gym membership, • Flexible working hours, • 27 days holiday (Bank Holidays not included) This is an opportunity for you to make a technical contribution to a possible gold medal or even champions league title! Location: LIverpool, UK / Remote Working Salary: £45,000 - £75,000 + Bonus + Pension + Benefits Applicants must be based in the UK and have the right to work in the UK even though remote working is available. Noir continues to be the leading Microsoft recruitment agency; we can help you make the right career decisions! NOIRUKNETREC NOIRUKREC NC/NET/LIVET

This is a great opportunity to join a purpose-driven organisation where you can take ownership of data development and help modernise a traditional data estate as part of a growing Data & Insight function.This organisation is forward-thinking and technology-driven, with a strong focus on using d

Opus are working with a leading financial services firm who're decommissioning their legacy on-prem data warehouse and migrating all critical workloads to Snowflake on AWS. They need a contract Senior Data Engineer to rebuild pipelines, refactor legacy ETL, and ensure a clean cutover for r

AgileSource are looking for 2 Senior Full Stack Developers to join a growing IT Consultancy. This is an excellent opportunity for a Senior Full Stack Developer looking to start on a contract while having a clear pathway into a permanent, long-term position. We are looking for someone to initially come in on a Contract but someone who is open to joining the organisation on a Full-Time Basis. Contract: £400 P/D Perm - £60,000 - £75,000 + Benefits DOE Key Responsibilities: • Lead development across the full stack (frontend & backend), • Build and maintain scalable applications using TypeScript, React, and Python, • Collaborate closely with DevOps to ensure reliable deployments and system performance, • Design and implement RESTful APIs and system integrations, • Improve and modernise existing platforms, including refactoring legacy code, • Translate user stories into robust, production-ready solutions, • Support live environments by troubleshooting and resolving issues, • Contribute to Agile ceremonies, planning, and backlog refinement, • Drive best practices across engineering, including testing, CI/CD, and code quality, • Explore and apply AI-assisted development tools where appropriate Key Requirements • Proven experience as a Senior Full-Stack Engineer, • Strong expertise in JavaScript / TypeScript and React, • Backend development experience with Python (e.g. FastAPI) or Node.js, • Experience designing and integrating REST APIs, • Strong understanding of cloud platforms (ideally GCP), • Experience working in Agile environments, • Solid knowledge of CI/CD, Git, and modern engineering practices, • Excellent communication skills and ability to work in distributed teams Desirable • Experience working on ITSM, data platforms, or digital transformation programmes, • Exposure to AI tools / APIs and AI-assisted development workflows, • Experience refactoring legacy systems at scale

We are seeking a highly skilled and innovative Agentic AI Engineer to join our team and drive the development and deployment of cutting-edge generative AI solutions within the Microsoft ecosystem. This position is well-suited for candidates with a background in software engineering, data science, or machine learning who excel at developing production-grade AI applications utilizing Microsoft platforms such as M365, Copilot Studio, and Azure AI Foundry, and have at least one year of relevant experience. Strong software development background with proficiency in Python. • Experience with API development using FastAPI, Flask, or Django., • Knowledge of Docker and containerized deployments., • Hands-on experience with LLM models such as OpenAI GPTs, Claude, Gemini, LLaMA, or Mistral., • Expertise in applying prompt engineering techniques to improve model performance and reliability., • Experience in implementing robust evaluation frameworks and Responsible AI (RAI) practices., • Familiarity with Microsoft GenAI/Agentic AI ecosystem such as M365, Copilot Studio and Azure AI Foundry., • Strong understanding of software engineering principles and best practices., • Ability to work in agile environments and collaborate with cross-functional teams. You'll stand out if you also meet any of the following: • You are good at prototyping and experimenting with emerging technologies to assess feasibility and impact., • You have knowledge of vector databases, RAG architectures and their integration into enterprise systems, • You have experience with GenAI development frameworks or orchestration tools such as Semantic Kernel, AutoGen, LangGraph, LangChain, or PromptFlow., • You are familiar with core agent communication protocols, including MCP or A2A., • You are a person who loves to stay current with the latest advancements in GenAI, LLMs, and AI frameworks., • You are Microsoft Certified in Azure AI Engineer Associate or Azure AI Fundamentals. 🛠️ Qualifications • Bachelor's in computer science, data science, or a related field About Avanade: Avanade is the leading provider of innovative digital, cloud, and advisory services, industry solutions, and design-led experiences across the Microsoft ecosystem. The company was founded 25 years ago as a joint venture between Accenture and Microsoft. Back then, digital transformation, automation, and AI weren’t mainstream topics—Microsoft was primarily known for Office 365. But Avanade evolved with the times and is now the number one transformation leader within the Microsoft ecosystem. We have a team of 61,000 professionals in 26 countries. We’re a truly global company with a strong local presence— what I like to call “GLOCAL”: making global impacts on a local level.

Senior Founding Software Engineer (tech lead), Eye-Health Platform Location: Remote (UK-based preferred) Reporting to: CEO (Dhruvin Patel) Business: Ocushield: UK eye-health business with consumer products and a digital screening platform serving cash plans, insurers and corporate partners About Ocushield Ocushield is a UK eye-health business building both physical products and a digital eye-screening platform. We were founded by practising optometrists who saw a generation of people developing eye strain, fatigue and reduced focus earlier in life, driven by unprecedented screen use at work and at home. Today we sit at the intersection of health, performance and modern work. Alongside our profitable direct-to-consumer business, we work with cash plans, insurers and direct corporate customers who see eye health as the next frontier of workplace wellbeing. Our consumer business is profitable and our digital ARR is growing, with active commercial conversations underway with major UK health and insurance partners. We are now replatforming our digital screening product from a low-code tool to a native, data-centric platform. The tech lead, leads that work. The role You will lead the technical replatform of our digital eye-screening product to a native, data-centric platform. This is greenfield architecture from someone who has done it before. You will be hands-on coding, setting the architecture, working with a contractor who maintains the existing build, and shaping the engineering function as we grow. You will work directly with the founder and our clinical lead, Dr. Raj Kohli. This is not a co-ordination role. We are looking for a senior builder who can set the technical direction and ship the first version themselves. Why now • Our existing low-code platform has validated demand but cannot support the next stage of customer engagement, partner reporting, the recommendation engine, ecommerce attribution or scalable B2B growth., • The strategic goal is to turn the Screener into a vision-health engagement platform that captures structured, user-level data. A proprietary eye-health dataset is the long-term competitive moat., • Scaling fast across multi-national enterprise clients, • Active commercial conversations with major UK health and insurance partners give the platform a clear demand signal. What you’ll work on • Architect and build a native eye-screening platform to replace our low code solution, with full ownership of stack choices., • Build a user account system with progressive unlock, saved results and longitudinal tracking. Account creation before results is the central UX challenge: value needs to be visible both before and after sign-up to keep drop-off in check., • Build the structured data-capture and reporting layer for B2B partners across cash plans, insurers and retail pilots., • Build a recommendation engine that routes screening output to product and service recommendations, and captures why users ignore products, not just what they click., • Design symptom follow-ups at 30 and 90 days as a re-test experience, rather than as marketing prompts., • Manage the commercial relationship with the contractor who is maintaining the existing product in parallel., • Work with our clinical lead on safety review and clinical correctness, which runs in parallel with the build., • Shape the engineering hiring plan as the platform scales, likely one or two engineers in Year 2., • Set the technical standards, review process and operating model for the engineering function., • Brief and collaborate with our design/UX team member on user research and journey design, particularly the account creation flow which is the single biggest UX challenge for the replatform, • Own the technical contribution to product trade-off conversations: feature sequencing, scope cuts, technical debt acceptance What you’ll bring Experience • 6+ years’ engineering experience, with at least 2 to 3 years leading platforms end to end., • Strong full-stack capability on a modern web stack. Stack preferences are below; we are open to a candidate proposing alternatives., • Experience with greenfield builds and with legacy systems running in parallel., • Data-platform thinking. You understand the difference between collecting data and building a structured dataset that compounds in value., • Experience hiring and managing engineers. Mindset • Comfortable as a hands-on builder, not just an architect. You write production code., • Comfortable in a startup or early-stage scale-up environment, with ambiguity and direct ownership., • Pragmatic about trade-offs between speed, quality and what to leave for later. Tech stack preferences We have a working view of the stack but are open to the right person proposing alternatives: • TypeScript and Node.js, or Python, on the backend., • React or Next.js on the frontend., • PostgreSQL or a similar relational database for structured data., • Cloud-native on AWS or GCP., • API-first design., • Modern data tooling such as dbt, with an awareness of event streaming. Nice to have • Health-tech or regulated-industry experience, ideally medical-device adjacent or with GDPR-sensitive data., • B2B or B2B2C SaaS experience, particularly where employers or insurers are the buyer and employees are the users., • Experience integrating with insurer or benefits-platform APIs., • Experience with recommendation engines or personalisation., • Patent-eligible algorithm work. IP creation matters to us., • Familiarity with Embeddables or other low-code platforms, useful for the migration phase. How we work • Remote-first and async-friendly., • Small team, fast moving, founder-led., • Weekly stand-ups and quarterly off-sites., • We ship and iterate. We do not build for perfection., • Our clinical lead works alongside engineering on feature accuracy and safety. 💚 Why Join Ocushield? 👁️ Purpose-driven work Build technology that helps people protect their vision in a screen-heavy world. Real health outcomes, not vanity metrics, with products trusted by major UK healthcare partners. 🚀 Build something meaningful Architect our digital eye-health platform from low-code to a native, data-centric stack. Greenfield work that compounds in value over time as the proprietary clinical dataset grows. 🎯 Real ownership Work directly with the founder and our clinical lead. Decisions get made in days, not quarters. No middle layer between you and strategy. 🧠 Hands-on craft This is a building role, not a managing role. You write production code, set the architecture, and shape the engineering function as we grow. 🌱 Profitable and scaling We are not a burn-rate startup. The business is profitable, the digital platform is growing fast, and the platform you build powers the next phase. Why you shouldn't apply • You need rigid structure and fixed specifications, • You want a large team around you from day one, • You prefer maintaining systems over building new ones, • You’re not comfortable owning outcomes end-to-end, • If the idea of building something new, scrappy, and impactful excites you — not scares you — then you’ll thrive at Ocushield. Compensation • Remuneration up to £85,000 with stock options, • Pension, holiday and equipment budget on standard terms., • Remote-setup support.

BI Data Architect: 8 month FTC Remote, UK £100,000 pro rata This is a high impact BI Data Architect role focused on shaping the foundations of a modern analytics platform during a critical migration phase. You will play a key role in setting standards, improving governance, and enabling scalable, self service BI, with the autonomy to influence design decisions rather than simply execute requirements. The Company They are a technology led organisation operating at scale, with data at the heart of how teams make decisions. The business is investing in its BI and analytics capability, moving towards a more governed, modular and future proof data environment. Collaboration is central to how they work, with data teams partnering closely with stakeholders across the organisation. The Role • Support a major data platform migration, helping to build strong architectural foundations., • Design and implement dimensional models and a robust semantic layer to enable trusted, self service analytics., • Introduce and embed dbt as part of the transformation and modelling layer., • Establish effective data governance using Unity Catalog, including data quality and access controls., • Build and maintain CI/CD processes to support reliable, repeatable deployments., • Work hands on with Databricks, focusing on architecture, optimisation and BI engineering rather than cloud infrastructure., • Act as a trusted partner to the business, translating requirements into scalable data solutions., • Take ownership of problems end to end, bringing ideas and challenging assumptions where needed. Your Skills and Experience • Strong commercial experience as a BI Data Architect or BI Engineer in modern analytics environments., • Proven capability in dimensional modelling and designing semantic layers for BI tools., • Hands on experience with Databricks and lakehouse style architectures., • Working knowledge of Unity Catalog or similar data governance frameworks., • Experience implementing or working with dbt in a production environment., • Confidence setting up CI/CD for analytics engineering workflows., • Excellent communication and stakeholder management skills, with the ability to work autonomously and learn quickly. What They Offer • An 8 month fixed term contract with flexibility around working location., • The opportunity to shape a BI platform and leave a lasting architectural impact., • A collaborative environment that values initiative, curiosity and clear communication., • Exposure to a broad range of stakeholders and business critical use cases. How to Apply Apply now to learn more about this BI Data Architect opportunity and how it could be the next step in your data career.

About Complexio Complexio is the intelligence layer for enterprise AI. Our platform builds a connected understanding of how businesses actually operate - across people, processes, and systems. Enterprises have invested heavily in AI platforms, copilots, and data infrastructure - yet daily work still runs on manual hand-offs and thousands of unseen tasks buried in emails, chats, and spreadsheets. Complexio closes that automation gap. Our Event Knowledge Graph ingests structured and unstructured data to create a living map of how an organisation truly works - every task, interaction, and dependency. Our Context Broker unifies this knowledge across enterprise systems in real time, enabling our Orchestration layer and Enterprise Automator to discover, design, and execute workflows autonomously. Stevie, our conversational AI assistant, gives teams a natural way to query and act on that intelligence. Complexio deploys securely within your infrastructure and integrates with the enterprise platforms you already run on - turning organisational knowledge into measurable business outcomes. A joint venture between Hafnia and Símbolo, backed by leading maritime partners including Marfin Management, C Transport Maritime, Trans Sea Transport, and BW Epic Kosan. Born in maritime, now scaling rapidly across industries. We are now onboarding enterprise customers globally, with a platform built to handle the pace and complexity of real business operations. Role Purpose Enterprise organisations do not buy software - they fund outcomes. The Value Engineer exists to make the connection between Complexio's platform capabilities and the specific, quantified business outcomes each customer cares about, at every stage of the relationship. Value engineering as a discipline has become a defining commercial capability at the world's leading enterprise software companies. ServiceNow built a global Value Engineering practice to justify platform ROI at scale. Celonis pioneered value engineering in the process mining space, making quantified process improvement the centrepiece of every enterprise deal. SAP's Value Advisors and Salesforce's Business Value Consultants have made the ability to prove financial return a standard expectation in enterprise software procurement. Complexio is building this capability now - at the stage where it will have the most impact on commercial outcomes. This role sits at the intersection of business consulting, commercial strategy, and deep operational understanding. You are not a sales support function. You are an independent, credible business advisor who earns the trust of customer CFOs, COOs, and operational leadership by doing rigorous work - identifying where value is being lost, modelling what recovery is worth, and demonstrating with evidence what Complexio has actually delivered. Key Responsibilities Value Discovery & Business Case Development • Lead structured value discovery engagements with prospective customers - working with operational, financial, and technology stakeholders to identify and quantify the cost of their current automation gap, • Map customer operational workflows to Complexio's platform capabilities, identifying the specific processes, hand-offs, and inefficiencies where the EKG, Context Broker, Enterprise Automator, and Stevie create measurable impact, • Translate business case outputs into executive-ready materials - CFO-grade financial models, board-level summaries, and ROI one-pagers that withstand scrutiny from finance and procurement stakeholders, • Validate assumptions with customers through structured interviews, data analysis, and process observation - never building a business case on hypotheticals that will be challenged at approval Pre-Sales Value Engagement • Partner with Sales, Client Directors, and Solutions Consultants in enterprise sales cycles - joining customer engagements specifically to lead the value and business case workstream, • Run executive value workshops with customer C-suite and operational leadership - structured sessions that move from pain identification through to quantified opportunity in a single engagement, • Produce deal-specific value narratives and ROI models that are calibrated to each customer's operational context, financial metrics, and internal approval process, • Equip the sales team with reusable value frameworks, benchmark data, and industry-specific ROI models that accelerate deal cycles across similar customer profiles, • Support commercial proposal development by providing the financial and business value content that underpins pricing, contract structure, and deal terms Post-Sale Value Realisation • Own the value realisation framework for Complexio's customer base - defining how value is tracked, measured, and reported from deployment through to steady-state operation, • Establish baseline metrics with customers at the point of deployment - agreeing the operational and financial KPIs against which Complexio's impact will be measured Value Benchmarking & Market Intelligence • Build and maintain Complexio's value benchmark library - a structured, continuously updated repository of outcome data across customers, sectors, use cases, and platform capabilities, • Develop sector-specific value models for Complexio's primary markets - maritime operations, energy trading, industrial workflow management - grounded in real customer data and validated against industry benchmarks, • Track and analyse how value accrues over time across the customer base - identifying which deployment patterns, use cases, and adoption sequences drive the fastest and largest outcomes, • Monitor competitive value positioning - understanding how Complexio's ROI profile compares to alternatives including Microsoft Copilot, Celonis, and incumbent manual processes Internal Value Enablement • Build and maintain a value engineering toolkit accessible to the broader commercial team - including value discovery frameworks, ROI calculators, benchmark data packs, and executive presentation templates, • Partner with Product and Engineering to ensure that Complexio's platform instrumentation supports value measurement - advocating for the telemetry, reporting, and analytics capabilities that make value realisation visible to customers, • Feed value data and customer outcome evidence back into Complexio's product prioritisation process - ensuring the roadmap is guided by where the platform creates the most demonstrable impact Executive & C-Suite Engagement • Engage directly with CFOs, COOs, and operational leadership as a credible, independent business advisor - not as a vendor representative, • Lead or co-lead executive value presentations and business case reviews at board and C-suite level - with the financial and operational rigour to withstand challenge from sophisticated buyers, • Shadow Co-CEOs and the CRO in strategic customer engagements as required - providing the value and ROI narrative in high-stakes commercial discussions, • Build long-term advisory relationships with senior customer stakeholders that extend beyond individual deals and create durable commercial anchors What We're Looking For Essential • 6+ years in a value engineering, value advisory, business value consulting, or management consulting role - ideally with direct experience in enterprise software, process automation, or AI/data platform contexts, • Demonstrable experience building and presenting rigorous business cases and ROI models to C-suite and finance stakeholders - models that have withstood scrutiny and influenced major investment decisions, • Strong financial modelling capability - comfortable building NPV, IRR, and payback analyses from first principles and translating operational data into financial outcomes, • Deep understanding of how large enterprises make investment decisions - approval processes, financial hurdle rates, competing priorities, and the politics of internal sponsorship Desirable Experience in the maritime, shipping, energy, or industrial sectors - operational familiarity with voyage management, fleet operations, chartering, trading, or supply chain workflows Experience with process mining, workflow analytics, or operational intelligence tools - and the ability to use data outputs to construct value narratives Familiarity with AI automation economics - understanding how to model labour displacement, error reduction, and decision acceleration in organisations adopting AI-driven workflows Experience building value benchmark databases and sector-specific ROI frameworks from scratch Who You Are Rigorous and credible - your business cases are built on real data, sound assumptions, and transparent methodology; you do not overstate value and you do not produce numbers that collapse under scrutiny A skilled interviewer and listener - you can run a discovery session with a COO or a fleet manager and extract the operational detail you need to build a credible model, without making them feel interrogated Commercially motivated - you understand that your work directly enables revenue and you take that seriously; you are not an academic analyst, you are a commercial contributor Independently minded - you are willing to tell a customer or a sales team that a use case does not meet the value threshold, because your credibility depends on honesty, not optimism • A strong writer and presenter - you produce executive materials that are clear, well-structured, and visually compelling; you do not hide weak analysis behind impressive slides, • Intellectually curious about how industries operate - you find genuine interest in understanding how a maritime shipping company makes money, where it loses it, and what operational changes move the needle, • A builder - Complexio does not yet have a mature value engineering function; you are excited by the opportunity to create the frameworks, tools, and benchmarks that will define how the company communicates value at scale

Role: Senior Fire Engineer – (JPC-116) Location: Remote Sector: Public & Private Sector Consultancy Salary: £80,000 - £120,000 Overview Complete internal and external Fire Risk Assessments both visual and fully intrusive. Advise clients on fire safety compliance within existing and new build schemes and work with multi disciplinary team in developing complex designs. Role Requirements Work with and lead aspects of a growing team, reporting directly to Delivery Director. Experience • Minimum 5 years PQE, • External Wall Risk Assessments, • Retrospective and design fire strategies, • Compartmentation Surveys, • Large and small refurbishment and re-cladding projects, • Fire Protection Work, • Member of IFE, • IEng, CEng or F/MIFireE Skills, Knowledge and Understanding • Liaise closely with Clients, Contractors, Developers, Clerk of Works and other key stakeholders., • Undertake Risk Assessments in line with current legislation., • Advise clients of pragmatic, cost-effective solutions to mitigate risk where possible., • Assist in the growth, development and structure of a small team, drawing upon team leadership skills and experience., • Ability to work in a fast-paced environment; decision making based on a clear fire engineering analysis. Clients • Contractors and Developers., • Principally Local Authorities, Housing Associations and other Clients. General • Comply with, or improve upon, our Clients’ Key Performance Indicators., • Working with and developing a Quality Management System. Report on a regular basis on status of projects and update Fee Projections., • Assist the Director in Charge with Business Development, cultivating new and existing Clients to promote our Building Surveying service offering. Fire Engineering • Assist the client in RAG assessing their stock to understand their potential liabilities., • Review information relating to fire safety that the client has accrued for their buildings to date and advise them of its suitability., • Conduct Fire Risk Assessments both internally and externally in-line with current industry guidance and compile a detailed report., • Provide CPD to clients, making them aware of their obligations as building owners., • Peer review reports from other Fire Engineers where requested., • Work with the project team to produce cost-effective, pragmatic remedial solutions where possible., • Attend client/resident meetings when required to explain reports that have been issued and the implications of the findings., • Produce Fire strategies, fire safety management plans, planning statement, fire statements, assist with BSR applications, review design drawings and technical data sheets., • Work with the project team to compile the ER’s., • Liaise closely with the Clerk of Works and the contractor and carry out compliance checks of the works as they progress., • Attend site progress meetings when required., • Assist with updating and creating new templates; support wider fire engineering team as required. Rewards and Benefits • Competitive salary, • Discretionary bonus incentive, • Pension contributions, • Private medical insurance, • 28 days holiday (incl. Bank Holidays), • 3-4 days during Xmas period, • 1 day off for birthday Salary £80,000 to £120,000 per annum

Analytics Engineer - 12 month fixed term contract UK Remote £67,000 plus benefits This Analytics Engineer role stands out as a chance to play a key part in a large scale Lakehouse programme, sitting at the intersection of engineering, analytics and the wider business. You will take real ownership of curated data models, shape how data is structured and served across the organisation, and influence best practice as the analytics engineering capability continues to grow. The Company They are a large, well established UK organisation with a strong reputation for combining technical excellence with a people first culture. Data and analytics are a strategic priority, with ongoing investment into a modern cloud based data platform. Engineering teams are expanding as part of a broader transformation, creating genuine opportunities to have impact and influence. The Role You will join a growing analytics engineering team and play a critical role in the Lakehouse environment. Your responsibilities will include: • Leading the design and delivery of curated, analytics ready data models within the Lakehouse, • Owning the transformation from enriched to curated datasets, enabling trusted reporting and insight, • Developing and maintaining robust SQL and PySpark transformation pipelines in Databricks, • Embedding data quality, testing, reliability and performance into the curated layer, • Working closely with data engineers, BI teams and business stakeholders to translate complex requirements, • Providing technical leadership, mentoring and setting modelling and engineering standards, • Contributing to CI/CD processes and wider engineering best practice across the data platform Your Skills and Experience • Strong commercial experience as an Analytics Engineer within a modern data platform, • Excellent data modelling capability, including dimensional and semantic modelling, • Advanced SQL skills and strong hands on experience with PySpark, • Experience working with Databricks and Lakehouse architectures, • A solid grounding in engineering best practices, testing and data quality, • Confidence mentoring others and taking ownership of technical decisions, • An engineering mindset applied to analytics, rather than an analyst focused role What They Offer • Flexible by choice working, supporting different schedules and work life balance, • A 35 hour working week within a supportive, inclusive engineering culture, • The opportunity to shape a critical data programme with real visibility across the business How to Apply If you are an Analytics Engineer looking to make an impact in a growing Lakehouse environment, apply now to find out more.

SENIOR DATA ENGINEER UK REMOTE £85,000 - £100,000 This is a rare opportunity to join a high growth, product led technology business at a pivotal stage of scale. You will play a hands on role shaping a modern data platform that supports real time decision making, working with large volumes of live data in a highly collaborative engineering environment. THE COMPANY They are a UK based digital business that has grown rapidly over the past decade and recently secured significant investment to accelerate their expansion. Known for a mobile first product and a strong focus on user experience, they have built a highly engaged customer base and strong brand recognition. As the business continues to scale, data sits at the heart of their growth strategy to support its fast user growth. THE ROLE You will join a data function and work closely with engineering leadership to evolve the data platform end to end. The role is highly hands on and focused on building robust, scalable solutions. • Designing and building data pipelines from application layer through to the warehouse, • Working with high volume, near real time data streams, • Developing and maintaining data models to support analytics and product use cases, • Improving engineering standards, testing practices and production readiness, • Contributing to the setup and management of multiple environments, including staging and production SKILLS AND EXPERIENCE Must have: • Strong commercial experience in data engineering with previous experience in software development/DevOps., • Previous experience or understanding of data modelling, • Strong Python, SQL and Terraform skills, • AWS services (GCP considered) Nice to have: • CI/CD, • Snowflake, • Dbt, • Iceberg, • Kimball/Datavault, • Git, • Dagster BENEFITS • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand, • Exposure to complex, real world data challenges at scale, • Salary: up to £100,000, • Remote working Please note you must be UK based, and this role does NOT offer sponsorship.

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

AI Forward Deployed Engineer - Knowledge graphs, LLMs and RAG Remote, UK. £90,000 to £130,000 base salary. If you enjoy taking advanced AI systems out of the lab and into real-world enterprise environments, this role gives you the chance to do exactly that. You will work directly with highly technical customers, shaping how cutting edge NLP, knowledge graph, and LLM technology is deployed at scale, while still remaining deeply hands-on as an engineer. The Company They are a BioTech startup organisation building data science products that support faster and more informed drug discovery. Their platform processes vast volumes of scientific literature and structures it into high value, production-ready datasets used by global pharmaceutical organisations. The Role • You will lead technical delivery for enterprise customers, owning implementations from initial trials through to production deployments., • You will work closely with customer engineering and data science teams to understand their environments and design robust AI driven integrations., • You will design and build solutions using retrieval systems, RAG architectures, agent based workflows, and APIs., • You will contribute to technical scoping during pre-sales, helping shape feasible and scalable solutions., • You will identify recurring customer needs and feed these back into the core platform, supporting productisation., • Alongside customer work, you will contribute directly to internal platform and engineering initiatives. Your Skills and Experience • Strong commercial experience deploying NLP or LLM powered systems into production environments., • Hands-on experience with retrieval augmented generation, vector databases, and retrieval or recommendation systems., • Practical experience building, debugging, and operating end to end LLM workflows., • A solid engineering mindset with comfort working across data platforms, APIs, and cloud infrastructure., • Exposure to graph databases and modern data warehouses is highly beneficial., • Confidence working in customer facing settings, explaining technical trade-offs and collaborating across technical and commercial stakeholders. What They Offer • Base salary between £90,000 and £130,000, depending on experience + benefits, • Fully remote working with flexibility and autonomy., • The opportunity to work on high impact AI products used by leading enterprise customers., • Clear scope to influence product direction and grow alongside a scaling, venture backed business., • Additional benefits and development support within a collaborative, engineering led culture. This role can't sponsor

📍 Remote | Full-Time 👋 About Us Medify is a mission-driven EdTech company widening access to medicine and healthcare careers. Our platform supports thousands of learners preparing for high-stakes admissions exams, and our engineering team plays a critical role in delivering reliable, scalable, and high-quality learning experiences. Medify Engineering is a team of ten engineers across two teams, and everyone is hands on, including engineering management and the CTO, which helps us keep our processes practical and engineer-friendly. We work to minimise meetings: engineers typically have a 15-minute daily standup for in-progress updates and quick alignment with Product, plus (per two-week sprint) a one-hour refinement with Product, a one-hour planning session with engineering, and a 30-minute company-wide demo. Operational work like deployments, bug triage, and on-call is handled on a rotation, with each person covering one week roughly every two months. 🎯 The Role As a Senior Full Stack Engineer at Medify, you will play a pivotal role in shaping our platform and technical direction. Working closely with the CTO and fellow engineers, you’ll be involved across the full software development lifecycle - from ideation and design through to development, testing, and deployment. This is a fully remote, home-based role, suited to someone who enjoys ownership, collaboration and solving complex problems in a fast-moving environment. Tech stack: Ruby on Rails (backend), frontend transitioning from Ember to React, Postgres database, hosted on AWS. 🧩 Key Responsibilities • Design and develop high-quality, scalable, and efficient software solutions using modern best practices, • Collaborate closely with Product and Design teams to understand requirements and provide technical input, • Contribute to architectural decisions and overall system design, • Conduct code reviews and provide constructive feedback to maintain high code quality, • Troubleshoot, diagnose, and resolve software issues efficiently, • Develop and maintain automated tests to ensure performance and reliability, • Mentor junior engineers and share technical knowledge and best practices, • Participate in agile planning, backlog management, and delivery updates, • Stay up to date with emerging technologies and software development best practices, • Support recruitment by contributing to interviews and selection decisions 🧠 Core Competencies • Excellent problem-solving and analytical skills, • Strong communication and collaboration skills, • Ability to thrive in a fast-paced, agile environment, • Leadership and mentoring capability, • High attention to detail and quality 🎓 Qualifications • BS/MS degree in Computer Science, Engineering, or a related field is desirable but not required 🛠️ Experience & Knowledge • 5+ years’ experience in software development, • Extensive experience with modern programming languages and frameworks, • (Ruby on Rails and React highly desirable), • Proven track record of building scalable, efficient software systems, • Strong understanding of the software development lifecycle and agile methodologies, • Experience working with cross-functional teams (Product, Design, Engineering), • Experience recruiting and mentoring junior engineers is a plus 💡 Skills • Proficiency in modern programming languages and frameworks, • Strong grasp of data structures, algorithms, and software design principles, • Experience with databases, APIs, and networking, • Knowledge of software testing methodologies and tools, • Familiarity with DevOps practices and tooling, • Ability to learn and adapt quickly to new technologies, • Clear, confident written and verbal communication ✅ What We Offer • Competitive salary: £70,000–£85,000 depending on experience, • Annual leave: 25 days, rising to 28 days over three years, • Fully remote, flexible working, • Pension scheme, • Professional development sponsorship and matched charity funding, • Private health and dental care after one year of employment

📍 Mostly customer site-based, across the UK 💼 Full-time 🚗 Travel required 🔧 Junior BMS Commissioning Engineer Start building a career in BMS commissioning This is a great opportunity for someone with strong hands-on site experience, electrical knowledge and a genuine interest in Building Management Systems. You do not need to be the finished article. Some BMS commissioning experience would be highly valued, but the most important thing is that you are comfortable working on-site, understand electrical environments and are keen to develop into a strong commissioning engineer. You will gain exposure to real BMS projects across commercial buildings, schools, retail environments and more complex sites. You will be working alongside experienced engineers who understand how to bring systems online properly and make sure they perform in the real world. What you will be doing You will support the commissioning and delivery of BMS systems across live customer sites. You will be involved in: • Supporting BMS commissioning engineers on-site, • Assisting with point-to-point checks, panel checks and system validation, • Helping bring BMS systems online under supervision, • Working with control panels, field devices, sensors, valves, actuators and HVAC plant, • Supporting functional testing and basic fault finding, • Assisting with documentation, snagging and handover information, • Learning how BMS systems integrate with HVAC, lighting and wider building systems, • Working closely with electricians, project teams, site managers and clients As you develop, you will be given more ownership across commissioning tasks, troubleshooting and system delivery. What you will be working on Projects range from commercial buildings and schools through to more complex environments such as data centres. You will also contribute to work delivered alongside major organisations, including Schneider Electric and Equinix, where performance and reliability are important. This is a hands-on site role, so you should be comfortable travelling to different locations, working with live building systems and learning directly from experienced engineers. Qualifications What they are looking for: This role would suit someone early in their BMS career, or someone from an electrical or on-site engineering background who wants to move further into BMS commissioning. You will likely bring: • Some BMS, controls or commissioning exposure, ideally but not essential, • Strong on-site experience in electrical, HVAC, building services or controls environments, • Good understanding of electrical systems, panels, wiring or field devices, • Confidence using tools and working safely on customer sites, • A willingness to learn BMS platforms, control strategies and commissioning processes, • Good communication skills with engineers, site teams and clients, • A practical, problem-solving mindset Experience with systems such as Trend, Tridium, Siemens, Schneider or Honeywell would be useful, but is not essential. What matters here: • You are reliable, practical and willing to learn, • You are comfortable working on customer sites and dealing with real-world site conditions, • You have strong electrical or hands-on engineering foundations, • You care about doing the job properly, not just getting through a checklist, • You can listen, ask questions and take instruction from senior engineers, • You want to build a long-term career in BMS commissioning Benefits/Additional Info Why this role is worth considering This is a strong opportunity for someone who wants to grow into the BMS space properly. You will get: • Hands-on exposure to real BMS commissioning work, • Training and guidance from experienced engineers, • Experience across a variety of commercial and technical environments, • A pathway into a growing industry driven by energy efficiency, data centres and decarbonisation, • The chance to work for an established business with a strong reputation in the market Location and travel This role is mostly based on customer sites. Projects can be anywhere in the UK, often in and around London and the Home Counties, but not limited to those areas. Candidates should ideally be based within the surrounding Princes Risborough area, or within a realistic 40 to 55 minute commute of the Princes Risborough office. Visits to the Princes Risborough office are only required as and when needed. ⚠️ Practical bits A full UK driving licence and access to a reliable personal vehicle are required for travel between sites. A CSCS card is required. PASMA and IPAF would be useful, but are not essential.

Systems Engineer 12 months £72.54 (Inside IR35) Christchurch (Dorset) 3-4 days on site *CANDIDATES MUST BE ELIGIBLE FOR SC CLEARANCE* “This role does not offer visa sponsorship. Applicants must already have the right to work in the UK. Your responsibilities will include: • Providing Systems Engineering support to business development activities, including study/experimentation activities, system de-risking activities, • Development and implementation of technical solutions that meet the customer requirements, • Provision of realistic estimates for specified activities to the development lead, • Accurately report on progress, • Complete work to a high standard and to scope, quality and budget, • Support System Integration Activities Typical duties include : • Providing Systems Engineering support to business development activities, including study/experimentation activities, system de-risking activities, • Development and implementation of technical solutions that meet the customer requirements, • Provision of realistic estimates for specified activities to the development lead, • Accurately report on progress, • Complete work to a high standard and to scope, quality and budget Support System Integration Activities Knowledge: A strong Systems engineering background A good understanding of the complete systems engineering lifecycle (e.g. requirements, design, specification, implementation, integration and testing, acceptance), and development tools (e.g. Requirements Management, Modelling and defect reporting systems) Willingness to adapt to the variety of engineering tasks within the project and enthusiasm to extend own knowledge to support this Experience of providing engineering input and support to business development activities would be an advantage A background in Communications, (voice, data and radio products) is highly desirable. Demonstrable knowledge or experience in some or all of the following would be especially desirable, in particular their applications in a military context: • Communications technologies: IP networking (including network design), VOIP, Point-to-Point radio links, 4G mobile technologies, network security, network management, • Software Operating Systems (Linux, VM Environments), • A good understanding of designing equipment to meet stringent environmental requirements such as EMC, Environmental etc. would be advantageous, • Understanding of Design Certification and Product Safety Processes

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

Do you want to productionise end-to-end enterprise GenAI systems? Have you built scalable ML platforms and MLOps infrastructure in production? Are you ready to establish ML Engineering capability inside a business heavily investing in AI? A large UK professional services organisation is building out its ML Engineering capability and hiring a Lead Machine Learning Engineer to help shape the function from the ground up. This is a hands-on role focused on production AI systems, MLOps, cloud ML infrastructure, and enterprise GenAI deployment. Current projects include large-scale document AI workflows using LLMs to process and structure complex documents. Key responsibilities: • Productionise LLM and GenAI systems, • Build scalable MLOps and deployment pipelines, • Develop AI infrastructure in Azure and Databricks, • Create data pipelines for enterprise AI workflows, • Work closely with DS teams and business stakeholders Key details: • £90k + ~10% bonus, • Essentially remote across the UK, • 35-hour week with flexible hours, • Stack: Azure ML, AI Foundry, Databricks, Python, FastAPI, • 12-month FTC with strong chance of permanent conversion, • Cannot sponsor Requirements: • 7+ years across MLE/MLOps/Data Engineering/SWE, • Production ML deployment experience, • LLM/NLP/GenAI exposure, • Strong stakeholder management and independent delivery skills Interested? Please apply below.

Senior Data Engineer Remote UK or Republic of Ireland | £55,000 to £75,000 This Senior Data Engineer role stands out for its focus on greenfield data projects, genuine ownership, and the opportunity to work end to end on modern cloud data platforms. You will join a growing data function where engineers are trusted to make decisions, lead delivery, and have real impact without heavy layers of management. The Company They are a fast growing organisation investing heavily in their data capability to support long term scale. The business operates a fully remote model across the UK and Republic of Ireland, giving engineers flexibility while remaining closely connected as a team. Their data function is led by an experienced Head of Data and is built around modern engineering principles, autonomy, and continuous improvement. Ongoing hiring plans reflect a strong commitment to data as a core capability. The Role • Lead the design and delivery of greenfield data engineering projects from concept through to production, • Build and maintain robust data pipelines, transformations, and orchestration workflows, • Design cloud based data solutions starting from source systems, • Deploy and manage environments, with a focus on reliability and scalability, • Take ownership of projects and act as a technical point of contact for stakeholders and clients, • Contribute to ongoing optimisation and improvement of the data platform Your Skills and Experience • Strong commercial experience using Python and SQL in data engineering environments, • Proven ability to lead projects independently and take responsibility for delivery, • Experience building data pipelines, transformations, and workflows in modern data stacks, • Confidence communicating directly with stakeholders and clients, • Comfortable working autonomously in a fast moving, remote environment, • Experience with infrastructure as code such as Terraform is beneficial but not essential What They Offer • Exposure to greenfield projects and modern cloud data platforms, • Clear progression opportunities as the data team continues to scale, • A culture that values ownership, trust, and proactive problem solving How to Apply If you are a Senior Data Engineer looking for autonomy, impact, and the chance to shape modern data platforms, apply now to learn more

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.

Control Systems Engineer - Inside IR35 We are seeking an experienced C&I Engineer with a strong systems‑engineering background to support major projects across the energy sector, including power generation, CCGT, utilities, oil & gas, and process industries. This role is ideal for an engineer who thrives in technically demanding environments and has hands‑on experience developing and delivering advanced control system solutions for large‑scale energy assets. The ideal candidate will bring practical expertise in control system architecture, control philosophy, and control narrative development, along with familiarity with leading DCS platforms such as Emerson Ovation, Emerson DeltaV, or Siemens SPPA‑T3000. Key Responsibilities • Develop Control Narratives, Control Philosophy documents, and Functional Logic Specifications for energy‑sector automation systems., • Design robust control system network architectures, including Ethernet/IP, Profinet, Modbus, and redundant industrial networks., • Lead or support system configuration, testing, FAT/SAT, commissioning, and operational optimisation activities., • Interface with OEMs, EPC partners, and multidisciplinary engineering teams on system design, upgrades, migrations, and modernization projects., • Develop and maintain system backup strategies, cybersecurity policies, and ensure compliance with relevant instrumentation and energy‑sector standards., • Prepare high‑quality technical documentation, engineering reports, and change‑management records. Required Experience & Skills • Proven experience in C&I control systems within power plants, CCGT, utilities, oil & gas, or process industries., • Experience working with a major EPC contractor on complex FEED or Detailed Design projects., • Strong understanding of P&IDs, Cause & Effect diagrams, and Control Strategies used in energy and industrial facilities., • Hands‑on knowledge of industrial communication protocols such as Profinet, Modbus TCP/IP, and Ethernet/IP., • Experience with OPC UA for data exchange and system integration., • Familiarity with DCS, ESD, and F&G systems., • Understanding of IEC 62443 cybersecurity principles and their application to critical energy infrastructure.

Lead Machine Learning Engineer UK - remote, 35 hour work week Up to £95k + bonus 12m FTC (strong view to go permanent) A professional services firm is looking for a Lead Machine Learning Engineer to join its growing data and AI team. This is a key role focused on building and leading ML engineering capability, delivering scalable AI solutions, and shaping the organisation’s data and AI strategy. The role • Lead the development of machine learning engineering capability across the business, • Design, build, and productionise ML models and data products, • Develop and implement MLOps frameworks (CI/CD, model deployment, monitoring, governance), • Build scalable data and ML pipelines on Azure-based platforms, • Collaborate with data scientists, analysts, and stakeholders to deliver end-to-end AI solutions, • Contribute to data architecture, standards, and best practice across the organisation, • Provide technical leadership, mentoring, and guidance to engineers and wider teams What they’re looking for • Strong experience in ML engineering, MLOps, and data/AI architecture, • Proven track record delivering end-to-end ML solutions in cloud environments (Azure preferred), • Expertise in Python, Spark/PySpark, and modern data platforms (e.g. Databricks), • Hands-on experience with NLP and LLMs, including deployment and optimisation, • Experience building scalable pipelines, model governance processes, and production systems, • Ability to translate business requirements into robust technical solutions, • Strong stakeholder management and leadership experience Why apply • Opportunity to build and shape ML engineering within a growing data function, • High-impact role with ownership of architecture, tooling, and best practice, • Exposure to modern AI and LLM use cases, • Clear pathway to a permanent role Please note: sponsorship is not available for this role.

Senior ICT & Security Engineer Remote (UK) Permanent but contract considered Salary/rate on application The Company Our client is an award-winning, international multidisciplinary consultancy renowned for their expertise in low-energy design and world-leading technical solutions. They are a primary partner for the global digital infrastructure market, helping clients realise ambitious zero-carbon targets across the entire building lifecycle. Due to continued expansion within the EMEA region, they are seeking a high-calibre Senior ICT & Security Engineer to join their growing UK team. The Role As a Senior Engineer, you will take a lead role in the development and coordination of complex ICT and security installations. This is a client-facing position where you will manage medium-sized projects, ensuring technical excellence and financial performance from inception to completion. Key Responsibilities: • Project Leadership: Manage the full project lifecycle, including feasibility studies, fee bids, and cost/profit diagnosis., • Technical Design: Lead the design and coordination of ICT/Security systems, equipment, and facilities., • Client Management: Act as the primary point of contact for clients, attending technical meetings and providing strategic advice., • Quality & Delivery: Support project delivery in line with internal QA/QC processes and technical review standards., • Mentorship: Oversee the technical accuracy of work produced by Trainee, Graduate, and junior Engineers., • Reporting: Prepare comprehensive project reports for management and external stakeholders, modifying schedules and plans as required. Candidate Requirements The ideal candidate will be a technically robust engineer with a proven track record in ICT infrastructure and a consultative approach to project delivery. Experience & Qualifications: • Education: A degree in an appropriate ICT Infrastructure or Engineering discipline., • Experience: 5–10 years of relevant professional experience, ideally gained within a multi-disciplinary consultancy, ICT specialist firm, or network systems integrator., • Project History: Demonstrable experience in ICT infrastructure, building fit-outs, and migration projects. Technical Competencies: You should possess a strong technical understanding of the following areas: • Critical Facilities & Data Centre Design, • Campus Networks & LAN Ethernet Switching, • Wi-Fi & Network Communications, • Structured Cabling Systems & Fibre Optic Networks, • Telecommunication Network Infrastructure Why Join? This is an opportunity to join a market-leading firm that is at the forefront of the "green" digital revolution. You will work on high-profile international projects within a culture that values energetic interaction, technical innovation, and career progression. To apply, please submit your CV for a confidential discussion.

Disclaimer: To be eligible, you’ll need to be based in the UK, France, Germany, Italy, or Luxembourg. The role will also involve regular travel across our sites in EMEA. Who We Are: At CloudHQ, our mission is to deliver flexible, efficient, and resilient data center solutions to businesses worldwide. Founded by a pioneer in data center REITs, we are a rapidly growing organization with state-of-the-art data center sites globally, with locations in Ashburn, London, Frankfurt, Paris, Milan, Osaka, São Paulo, and more. As we embark on an exciting phase of global growth, we are building a diverse and talented team to drive our success and help shape the future of mission-critical infrastructure at CloudHQ. Role Overview: The Senior Mechanical Engineer will take ownership of the design, planning, execution, and delivery of advanced mechanical systems for developer-led hyperscale data center projects across Europe. This role combines technical expertise in designing, testing, and optimizing mechanical systems, including HVAC, cooling infrastructure, fire suppression systems, and thermal load management, with project management skills to ensure on-time, within-budget, and compliant delivery across all project phases. The successful candidate will act as a trusted technical advisor and project leader, collaborating with cross-functional teams, external contractors, and tenants to deliver high-performance, sustainable and mission-critical mechanical infrastructure tailored to meet operational demands and evolving industry standards. Key Responsibilities: Technical Leadership & Mechanical Design • Serve as the subject matter expert for the design and delivery of mechanical systems that meet tiered reliability, scalability, and energy efficiency goals in hyperscale environments., • Review detailed engineering specifications and calculations for HVAC systems, chilled water networks, air handling units, cooling towers, and fire suppression systems, ensuring compliance with regulatory standards., • Optimize thermodynamic efficiencies and fluid dynamics across mechanical systems to achieve maximum performance and minimize operating costs., • Review CFD modelling software to simulate airflow dynamics, thermal load distribution, and cooling efficiency, identifying potential hotspots and operational risks., • Design redundant systems to support continuous operations during peak loads and maintenance windows. Project Management & Lifecycle Oversight • Lead mechanical scopes across all phases of development, including early-stage development, design reviews, and tendering, • Collaborate with development teams during pre-construction planning, providing input on master plans, feasibility studies, and design risk mitigation., • Manage mechanical system integration during construction, acting as the primary liaison between contractors, consultants, and the internal project team. Compliance & Sustainability Standards • Ensure all designs comply with European building codes, ASHRAE standards (e.g., TC9.9 for data centers), and ISO directives., • Incorporate energy optimization technologies and carbon reduction strategies into designs, meeting enterprise sustainability objectives and achieving optimal PUE targets., • Monitor adherence to environmental regulations, including waste management, material use, and emissions minimization. Stakeholder Collaboration & Integration • Partner with structural and electrical engineers to ensure seamless integration of mechanical systems with building designs and other infrastructure., • Collaborate with tenant teams to address unique mechanical requirements, tailoring cooling and airflow solutions for their workloads., • Build and maintain strong relationships with contractors, vendors, and consultants, ensuring project milestones and performance deliverables are consistently met., • Lead design team meetings, presenting technical insights and ensuring actionable outcomes for mechanical scopes., • Innovation & Continuous Improvement, • Research emerging industry innovations, including liquid cooling, IoT-controlled sensor technologies, and AI-driven predictive maintenance tools, integrating them into CloudHQ projects where feasible., • Develop and implement modular mechanical solutions, leveraging prefabrication strategies to reduce construction timelines and costs., • Introduce advanced monitoring systems to enable operational visibility and real-time performance tuning across mechanical systems. Skills & Experience: Technical Expertise • Expertise in designing and delivering mechanical systems for data centers, including HVAC, cooling infrastructure (air-cooled, water-cooled, hybrid cooling), fire suppression systems, and air distribution networks such as AHUs and pressurized systems., • Advanced knowledge of thermodynamics, fluid mechanics, and heat rejection strategies for large-scale mission-critical facilities., • Proficiency in mechanical system modelling and software tools, including:, • AutoCAD, Revit, and BIM platforms for mechanical design., • CFD modelling software (e.g., ANSYS or OpenFOAM) for simulation and optimization., • Energy modelling systems for efficiency analysis and reporting. Regulatory Knowledge • Comprehensive understanding of EU environmental standards, EN & ASHRAE standards, ISO certifications, and local building codes for designing mechanical systems., • Familiarity with sustainability frameworks and technologies for optimized performance., • Project Management Skills, • Proven ability to handle complex mechanical scopes across multiple simultaneous projects while maintaining strict adherence to schedules and budgets., • Skilled in generating detailed documentation, reports, and technical reviews, ensuring compliance across all stages of development. Travel Flexibility Willingness to travel regularly within Europe to project sites and contractor facilities (up to 50% travel based on project needs). Preferred Qualifications: Education: Bachelor’s or Master’s Degree in Mechanical Engineering, or equivalent technical discipline. Certifications: Professional certifications such as LEED AP, ASHRAE Certification, or CIBSE/IMECHE Membership are highly desirable. Experience: Minimum 8+ years of technical and project management experience delivering mechanical systems for developer-led data center projects, industrial facilities, or similar mission-critical environments. Languages: Fluency in English (required); fluency in German, French, or other European languages (preferred) to support regional collaboration. At CloudHQ, we create cutting-edge data centers that fuel the digital infrastructure of the future. As a Senior/Mechanical Engineer – Development, you’ll work at the intersection of innovation, technology, and engineering excellence, helping build sustainable facilities in mission-critical environments. Be part of a team that values collaboration, growth, and impact in the exciting world of hyperscale development. Apply today! Visit our LinkedIn page or contact recruiting@cloudhq.com for more information.

Moodsonic uses sound to improve how indoor spaces feel. Our platform delivers adaptive soundscapes for workplaces, hospitals, universities, and other shared environments shaping daily life, integrating with hardware, building systems, and an array of applications to respond dynamically to activity levels, time of day, environmental sensors, and user input. The work sits at the intersection of audio, real-time systems, and human experience. The role We are hiring a Senior Software Engineer to own the backend that the entire product stack sits on: services, data layer, identity and authentication infrastructure, partner-facing integration APIs, device communication, and the security posture. You will own, evolve, and build the systems that power our internal tooling, customer-facing applications, partner integrations, and hardware deployments, strengthening what is already in production and shipping what comes next. You will be the technical lead on production engineering, security, and code quality, building on the foundations the team has put in place. As Moodsonic scales, you will keep the platform safe, reliable, and defensible. You are joining a team where colleagues hold deep domain knowledge. You will need to build trust, collaborate well, and lead through influence rather than authority. This is not a management role. The platform is live and growing quickly, with real customers and real consequences. What you'll work on In your first six to twelve months: • Own and evolve the backend platform: services, data layer, infrastructure, APIs. Strengthen what is in production today, design what is missing, and build what comes next, • Own the backend side of how our deployed hardware connects to the platform: ingestion, device authentication, fleet management, and remote provisioning. Visibility and input into on-device code decisions, because device security is platform security, • Own the identity, authentication, and account layer of the platform, • Own and operate our data protection posture across the platform: encryption in transit and at rest, key management, data lifecycle, and recovery, • Own the partner-facing integration APIs end to end, from design through operation. These are the surfaces our customers and hardware partners build against, and their reliability is our reputation, • Own the engineering practices that support our certifications and audit-readiness, • Establish and maintain the engineering standards (testing, review, deployment, monitoring, secure coding) that the team operates by, • Partner with the engineers owning the audio engine and frontend surface on the backend contracts their work depends on What we are looking for Required: • 5+ years shipping and operating production backend systems, including time on-call and in incident response. You know what it feels like when something breaks at 2am and you own the fix, • Operational resilience as a habit: you design for failure, build with recovery in mind, and treat incident learning as a driver of engineering quality, • Strong judgment in small-team environments. You have owned quality yourself rather than inheriting it from process. You can take high-level product, customer, or security needs and turn them into practical technical plans without a big PM or architecture layer handing you a spec, • Deep relational data modeling and schema design. Postgres or equivalent as a daily tool. Strong instincts for migrations, indexing, and query performance under load, • API design experience: you have built and maintained APIs that outlived their first version and you have opinions about versioning, compatibility, and contract discipline, • Identity and authentication systems experience: modern identity protocols (OAuth or similar), session management, role-based access, multi-tenant boundaries. You understand what breaks when these are wrong, • Security mindset in practice, not theory. You think about attack surface, threat models, and access control as a matter of course, with working knowledge of cryptography and data protection fundamentals, • Code quality and observability as habits. Tests, substantive review, documentation, and the instinct to measure how software behaves in production are part of doing the work, not chores after it, • Strong Python for backend services. Comfortable with SQL, Docker, at least one major cloud, infrastructure as code (Terraform, Pulumi, or equivalent), and modern CI/CD practices, • Modern AI development tools are part of how you ship. You stay current as they evolve, adopt what adds value, and use AI to go faster on work you already understand, which is why you catch AI mistakes before they become bugs, • Demonstrated technical leadership through influence, not authority: you raise the bar through code review, standards, and example, and you have earned trust from engineers who were there before you, • Pride in craft, proactive risk-flagging, and the instinct to raise quality bars rather than work around them. Intellectual honesty and the willingness to push back when the right answer is unpopular, • Clear written and verbal communication, particularly when working asynchronously across time zones Valued: • Designing systems that interface with deployed hardware: device fleets, provisioning flows, secure OTA updates, telemetry ingestion, • Shipping to enterprise customers, incident response commitments, and contractual security obligations, • Experience inside a compliance-driven environment (SOC 2, ISO 27001, HIPAA, or equivalent) or building for auditability as a default, • Kubernetes and modern container orchestration, • Additional backend language fluency (Node or TypeScript, Go, Rust) for polyglot service work, • Audio, signal processing, or real-time systems background, • AI and machine learning in product contexts: audio generation, personalization engines, training and serving pipelines Not required but welcome: • Interest in sound, music, acoustics, or the wellbeing applications of audio Team and how we work You will join a small, senior team distributed across the UK, Europe, and the US West Coast. We run a weekly product cadence, work asynchronously by default, and rely on clear written communication to stay aligned across time zones. Compensation and benefits Base salary £65,000 to £85,000, calibrated to experience. Equity will be a material part of the package. Benefits include private medical insurance for UK employees, 28 days paid holiday inclusive of UK holidays, flexible remote-first working. UK right to work is required. How to apply Send a short note, your CV, and links to work you are proud of. Please include three to five sentences on a production system, API, identity/auth, or platform hardening project you owned.

Software Engineer (backend) 📍Location: UK (Remote) 💰Salary: £125k –£145k + annual performance bonus ❌No visa sponsorship offered Capital markets move trillions. The legal documents underpinning those transactions are dense, nuanced, and mission-critical, and right now, most of that complexity is still handled by hand. This company is changing that. Built on years of machine learning PhD expertise, backed by a top-tier venture firm, and now operating at global scale following a high-profile acquisition, this team is tackling some of the hardest NLP problems in finance and law. Their customers include many of the world's leading law firms and the demand for what they're building is accelerating fast. As a Software Engineer, you won't be maintaining someone else's roadmap. You'll be architecting the critical backbone between a cutting-edge AI data platform and the professionals who depend on it daily. Your decisions will ship. Your influence will stick. If you want to do the most meaningful work of your career, in a team that moves fast, thinks deeply, and gives a damn about craft - read on. The Role • Design and build scalable backend services and APIs that power a document analysis platform used by major legal and financial institutions, • Write high-performance, maintainable server-side code and data processing pipelines, • Define clear, efficient API contracts and contribute meaningfully to service architecture decisions, • Design compositional API primitives that accelerate the productionisation of a growing library of document insights, • Build and maintain integrations with third-party services and internal ML systems, • Contribute to frontend features and components as needed to deliver end-to-end functionality, • Drive performance optimisation for data-intensive backend operations, • Champion engineering excellence — contribute to code practices, design patterns, and long-term maintainability, • Improve developer experience by automating and improving CI/CD and day-to-day production operations Skills Needed Required: • 6+ years of professional full-stack development experience with a strong backend focus, • Proficiency in backend technologies - Python (FastAPI, Django, or Flask) is preferred; Node.js, Java, or Go also considered, • Strong understanding of RESTful APIs, database design, and data modelling (SQL and NoSQL), • Experience with containerisation and orchestration (Docker, Kubernetes) and cloud platforms (AWS preferred), • Proficiency in TypeScript and React for frontend contributions, • Foundation in distributed systems, event-driven architectures, and web fundamentals, • Strong communication skills and a self-starting, action-biased approach to problem-solving, • Bachelor's degree in Computer Science or related field, or equivalent practical experience Preferred: • Experience with microservices architecture and message queues, • Experience building data processing pipelines or working with large-scale data systems, • Familiarity with CI/CD best practices and single-tenant architectures, • Experience optimising backend performance for data-intensive applications, • Mentorship experience and a track record of ownership in previous roles, • Interest in language, economics, or legal/financial domains Benefits • 15 - 20% annual performance bonus, • Fully remote - work from anywhere in the UK, • Private medical, dental, and vision insurance, • Pension and retirement planning support, • Health and wellbeing reimbursement (including fitness and mindfulness), • Flexible paid time off Research indicates that men will apply to a role when they only meet 50-60% of the descriptions, however, when looking at women and other minority groups, they can look for up to a 99% match in order to apply to a role. If you feel you are a fit for our role, please still apply, don’t worry if you don’t tick every single box. We’d still love to hear from you. We encourage underrepresented talent to apply to all our roles & support accessibility needs

Pay: £60,000.00-£70,000.00 per year DOE Important A CV and a short cover letter are required for this role. Your cover letter should briefly explain why you are interested in the role and how your experience, skills, and approach align with what we are looking for. If you are unable to attach a cover letter via LinkedIn, please email it to careers@iqhealthtech.com, including your NAME, the ROLE TITLE, and CONFIRMATION THAT YOU HAVE APPLIED ON LINKEDIN in the subject line. Please complete all follow-up questions to progress to the next stage About iQ HealthTech At iQ HealthTech, we are dedicated to improving healthcare outcomes through innovative technology. Our flagship product, iQemo, supports safer and more efficient electronic systemic anticancer treatment (SACT) prescribing and is used by the NHS, private healthcare providers in the UK, Australia and beyond. As we continue to expand into new regions, our systems are built to operate in complex, regulated healthcare environments worldwide. Our systems support clinicians making critical decisions every day. Reliability, clarity and thoughtful engineering matter here. As we grow into new regions, we design our platforms to scale across jurisdictions, healthcare models and regulatory expectations without losing focus on quality or safety. Role Summary We are looking for a hands-on Platform and Cloud Engineer to help strengthen, simplify, and scale the cloud and delivery platform behind our products. This is a key role in a small but ambitious UK healthtech company operating in a regulated environment. Our core product, iQemo, is a cloud-hosted electronic chemotherapy prescribing solution used in oncology care. We also operate an Insurer Portal and support a growing data services capability. The role suits someone with strong Azure infrastructure, Kubernetes, CI/CD, and DevOps capability, combined with a practical, service-oriented mindset. You will improve reliability, observability, deployment maturity, security posture, and infrastructure consistency, while working closely with developers to reduce operational friction and support more frequent, lower-risk releases. We are looking for someone technically strong, pragmatic, and calm under pressure, who is comfortable taking ownership of a cloud estate where priorities matter and good judgement counts. Why Join Us? • Fully remote role with flexible working options, • Personal development plans, including a professional development/training budget, • 25 paid holiday days plus bank holidays (your birthday off too!), • Enhanced maternity and paternity pay, • 4% employer contribution to company pension scheme, • Access to wellbeing apps, • Government-set working from home monthly allowance, • An opportunity to make a real difference by developing technologies that improve patient outcomes, • Paid out-of-hours developer support rota once onboarded, • Competitive salary with regular reviews and opportunities for growth, • Work with innovative systems serving both national private providers and the NHS Duties and responsibilities You will own and improve the cloud and platform foundations that support our products and engineering team. That includes Azure architecture and operations, Kubernetes platform support, CI/CD pipeline improvement, infrastructure as code, monitoring and alerting, identity and access configuration, environment reliability, and operational support. You will also play an important role in strengthening our security and compliance posture, supporting controls aligned with frameworks such as Cyber Essentials, SOC 2, and ISO 27001, and helping ensure our infrastructure and delivery practices are appropriate for a regulated healthtech SaaS business. As part of a small organisation, the role includes broader technical operations such as infrastructure troubleshooting, Microsoft 365 and Entra administration, networking support, and occasional out-of-hours work for critical issues or planned changes. Participation in a paid out-of-hours support rota is required once fully onboarded. Platform, cloud, and infrastructure • Own and improve our Azure environment architecture, configuration, maintenance, and operational health., • Support and evolve our cloud platform to improve stability, resilience, observability, security, and cost control., • Manage and support Kubernetes-based workloads, including deployments, configuration, troubleshooting, scaling, and operational reliability., • Maintain and improve core infrastructure services, environments, and platform components across development, test, and production., • Support infrastructure standardisation and simplification to reduce operational overhead and environment drift., • Help define the practical target-state platform architecture for a small regulated SaaS company. CI/CD, release engineering, and developer enablement • Build, maintain, and improve CI/CD pipelines to support faster, more reliable releases., • Work closely with developers to improve deployment automation, environment consistency, rollback capability, and release confidence., • Support a move from heavy, manual release processes toward more automated, repeatable, and controlled delivery., • Improve developer experience by reducing platform friction and making environments and deployment paths easier to use and support., • Support tools and practices such as Argo CD and GitOps-style deployment approaches where appropriate. Infrastructure as code and automation • Maintain and extend Terraform-based infrastructure as code., • Improve automation for environment provisioning, configuration, deployment, and operational support tasks., • Reduce manual platform work through scripting, standardisation, and repeatable operational patterns. Security, compliance, and operational controls • Support a proportionate, risk-based security posture across cloud infrastructure and delivery pipelines., • Contribute to infrastructure and operational controls aligned to Cyber Essentials, SOC 2, and ISO 27001 expectations., • Support secure identity and access management across Azure, Entra ID, and Microsoft 365., • Help improve secrets management, patching, vulnerability management, auditability, backup and recovery, and incident readiness., • Work with internal stakeholders on security remediation and infrastructure compliance priorities. Monitoring, support, and operational readiness • Improve monitoring, logging, alerting, dashboards, and operational visibility across environments and services., • Support troubleshooting of infrastructure, deployment, networking, and platform issues., • Assist with server management and environment support, including some out-of-hours support where required., • Help create runbooks, operational procedures, and support standards to reduce reactive firefighting and improve recovery times. Identity, networking, and Microsoft platform support • Support SSO and identity-related platform configuration in Azure / Entra., • Help resolve networking issues to and from our infrastructure., • Support administration and management of Entra ID and Microsoft 365 services where needed., • Provide broader technical operations and IT platform support appropriate to a small company environment. Key Skills Essential experience and skills • 6+ years’ experience in a relevant Platform Engineer, Cloud Engineer, DevOps Engineer, or Infrastructure Engineer role., • Strong hands-on experience with Microsoft Azure in production environments., • Strong experience building and maintaining CI/CD pipelines., • Practical production experience with Kubernetes, including deployment, troubleshooting, monitoring, scaling, and operational support., • Strong experience with Terraform or comparable infrastructure-as-code tooling., • Experience with Argo CD, GitOps approaches, or equivalent modern deployment tooling., • Strong understanding of cloud networking, access control, and infrastructure troubleshooting., • Experience improving platform reliability, observability, and operational readiness., • Experience supporting security controls and infrastructure compliance in a business-critical environment., • Good understanding of identity and access technologies including Entra ID / Azure AD, SSO, and Microsoft 365 administration., • Able to work closely with software developers and act as an enabling technical partner, not just an infrastructure gatekeeper., • Comfortable operating in a small company where breadth, ownership, and pragmatism matter. Highly desirable • Experience in healthtech, regulated SaaS, or another compliance-driven environment., • Experience with frameworks such as Cyber Essentials, SOC 2 or ISO 27001, • Experience with observability tooling, incident response processes, and production support improvement., • Experience managing or supporting Windows servers and mixed environments., • Experience with SQL Server, database administration, or performance/support troubleshooting., • Experience moving teams from manual to automated delivery processes, • Experience in small product companies with broad platform responsibilities Personal qualities • Calm, pragmatic, and reliable under pressure., • Strong ownership and follow-through, • Good judgement about risk, especially in live and regulated environments., • Able to balance speed with control., • Collaborative with a strong service mindset, • Comfortable with both strategic improvement and hands-on work, • Clear communicator across technical and non-technical audiences Why this role matters This role is central to improving platform stability, reducing delivery risk, strengthening security, and enabling more reliable and frequent releases. It supports the foundations needed for future product growth, interoperability, and data capability. In the first 12 months, you will improve platform stability, security, and scalability, enabling smoother releases, stronger monitoring, and less friction for engineers. Our Recruitment Process We’re committed to maintaining a safe and compliant workforce. The successful applicant will be appointed subject to satisfactory references and a basic DBS check. Applicants must have the legal right to live and work in the UK; we are unable to offer sponsorship.

Cooling Engineer, Datacentre / Server / HPC Multiple EU sites - Our client is a global technology leader that designs, develops, and manufactures IT hardware and software. Last year they posted revenue at nearly $70 billion! This is to work as part of an EMEA Power and cooling team but focusing on the fast growing AI ready datacentre business. . You will have an understanding of data center and IT solution power delivery architectures; cooling architectures and heat transfer. You can be based anywhere in Europe but must be open to a degree of international travel. Main elements to get involved with: • liquid cooling experience, • Decipher complex RFP requirements related to facility cooling infrastructure and help IT architects design an IT solution that fits within those limitations., • Architect complex power and cooling solutions for air and water-cooled IT solutions., • Be actively involved in the physical installation of complex IT system that are air or water-cooled., • Be able to provide engineering guidance over a wide range of disciplines (power/electrical, mechanical, thermal, plumbing, controls). Great opportunity with one of the leading players in the AI Datacentre market! Contact me ASAP for more details on the amazing team and company. Xavier

Palantir Data Consultant – Defence & Security Bristol, London or Manchester DV Clearance Eligible Required The Opportunity An exciting opportunity to join a growing Technology & Transformation capability supporting high-impact Defence & Security programmes. This role sits at the intersection of data engineering, architecture, and business transformation, delivering mission-critical solutions using the Palantir platform. Key Responsibilities • Design, build, and optimise data pipelines and ETL workflows within Palantir Foundry, • Develop scalable data models and architect robust Foundry solutions, • Transform complex, multi-source data into structured, high-quality assets, • Implement data governance, lineage, and quality frameworks, • Develop applications within the Palantir ecosystem (low-code and pro-code), • Collaborate with cross-functional teams using agile methodologies, • Translate business requirements into technical solutions that deliver measurable outcomes Required Experience & Skills • Hands-on experience with Palantir Foundry and/or Gotham, • Strong background in data engineering, including ETL and pipeline development, • Experience working with batch, streaming, and unstructured data, • Proficiency in Python and/or TypeScript, • Understanding of data modelling, system design, and scalable architectures, • Knowledge of data governance, metadata management, and security principles, • Strong communication skills with the ability to engage technical and non-technical stakeholders, • Familiarity with SDLC, version control, and CI/CD practices Security Requirements Candidates must have an active UK Developed Vetting (DV) clearance.

Job Title: Junior Python Developer Location: UK Experience: 2–4 years Education: Master's in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. Information Tech Consultants Ltd (ITC) is an IT management and consulting firm based in Central London. We are responsible for sourcing and hiring field experts for various companies. We primarily work with Software and Cloud Hosted Services organizations as well as Mobile Apps and Service companies. We are looking for a motivated Junior Python Developer to join our development team. The candidate will be responsible for writing clean and efficient Python code, developing backend applications, debugging issues, and collaborating with cross-functional teams to deliver scalable software solutions. Qualifications : • Master’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills., • Write, test, and maintain Python applications, • Develop REST APIs and backend services, • Debug and troubleshoot application issues, • Work with databases and third-party APIs, • Collaborate with developers, designers, and QA teams Requirements : • Basic knowledge of Python programming, • Familiarity with SQL and databases, • Understanding of OOP concepts, • Knowledge of Git/GitHub, • Good problem-solving and communication skills Qualifications : • Bachelor’s (Required) in Data Science, Mathematics, Statistics, Economics, IT related fields and 2- 4 years of experience in Information Technology., • You should be entitled to work in the UK with legal work authorization status., • Must be willing to travel within the UK as per project/client requirements., • Excellent communication skills and teamwork skills.

Senior Software Engineer | Java Engineer | Senior Backend Developer Build the engine room of a payments platform that actually understands money. Most payments companies are wrappers. Money goes in, money comes out, and nobody can tell you why a particular merchant got paid the amount they did, against which rule, on which day. Our client can. That is the whole product. We're partnering on a search for a well funded London fintech orchestrating the messy middle of payments, pay-ins via cards, Direct Debit and open banking, explicit allocation between multiple parties, payouts that survive late failures, disputes and chargebacks weeks after the fact. The platform is live, first customers are onboarded, and there is a clear runway to transaction volumes in the hundreds of millions of pounds. A second funding round closed earlier this year. The core is built. Now the team is shaping what comes next. The problem you'd be working on Payments look simple until you sit inside one. Cards settle on T+1 but can reverse at T+45. Direct Debit fails late. Open banking behaves like neither. On top of that sits a customer who needs to know, with certainty, who earned what and under which rule. The team is building the system that holds all of that together and the embedded finance products that sit on top of it, so invoice native financing, regulated accounts, cards, phone as terminal. There is a real AI agent and decisioning layer underneath, grounded in transaction and behavioural data, not bolted on for a deck. If correctness under uncertainty is the kind of problem that makes you lean forward, you'll like it here. The role You'd join a small team led by the CTO, working hands on across the backend platform. Real ownership, real scope, real production traffic. emote working with an office near Liverpool Street, the rest is yours. This is a senior IC role with room to grow into technical leadership as the company scales. Expect to: • Own end-to-end — Design and ship core services that move money correctly, even when the upstream world doesn't cooperate., • Get the maths right — Apply allocation rules and reconciliation logic that hold up under audit and under load., • Make sharp engineering decisions — Make pragmatic calls on simplicity, testability and blast radius and explain them clearly., • Shape the next layer — Help define how AI agents plug into the platform without becoming a liability. The stack • Backend — Java 23, jOOQ, JUnit, TestContainers, • Frontend — TypeScript, Vue, TailwindUI, • Infra — AWS, Terraform, Cloud Run, Postgres, Clerk, PostHog You'll fit if • You've spent 5+ years shipping production backend systems and can point at things you owned, not just things you touched., • You've worked in fintech, payments, banking, trading, marketplaces or another domain where money or something just as unforgiving flows through your code. (Preferred, not required.), • You design clean, simple solutions before clever ones. You know when a queue, an event log, or a boring SQL transaction is the right answer., • You operate well with autonomy and ambiguity, and you reach out early when something looks wrong., • You care about the person on the other end of the API, the checkout, or the pull request. Where the business is • Second funding round recently closed., • Table stakes digital PSP built and live., • Core platform running with real customers., • Flagship marketplace and vertical SaaS onboarding with meaningful revenue impact.

Node.js Contractor – AI Tool Replatforming Remote | Outside IR35 | £450–500/day We are looking for an experienced Node.js contractor to help replatform and modernise an internally developed AI-driven data platform. The existing tool was rapidly developed by a member of the technical team using AI-assisted development tools and is currently running locally on a laptop environment. We now need an experienced engineer to rewrite/refactor the application into a secure, production-ready Node.js solution suitable for deployment within our server infrastructure. The Role You will take ownership of analysing the current Python-based application and rebuilding/refactoring it into a scalable and maintainable Node.js platform. The application: • Pulls data from multiple external sources including:, • RSS feeds, • Websites, • APIs, • Processes and stores data within a database, • Includes a front-end interface for displaying and interacting with the data A key part of the engagement will be ensuring the rebuilt platform is secure, robust, and capable of passing penetration/security testing. Required Skills & Experience • Strong commercial experience with Node.js, • Experience refactoring or rewriting existing applications, • Solid understanding of secure software engineering practices, • Experience building applications that integrate with APIs, web scraping, and data feeds, • Database design and integration experience, • Front-end development capability (React/Vue/modern JS frameworks beneficial), • Experience deploying applications into production server environments, • Understanding of authentication, security hardening, and application resilience, • Ability to work independently and make pragmatic architectural decisions Desirable • Previous experience working with AI/LLM-powered applications, • Python experience to help interpret the existing codebase, • Experience preparing systems for penetration testing/compliance review, • DevOps/cloud infrastructure experience Contract Details • Contract: Outside IR35, • Rate: £450–500 per day, • Location: Fully remote, • Start: ASAP, • Duration: Initially 10-12 weeks but potential for extension We’re looking for someone pragmatic, technically strong, and comfortable taking an early-stage internal tool and turning it into a secure, production-grade platform.

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, • Collaborate closely with analytics, product and engineering teams to enable better decision making Your Skills and Experience • 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, • A software engineering mindset, including Git, testing and CI/CD workflows What They Offer • The chance to help shape a growing data platform and engineering culture, • Clear progression opportunities as the data team continues to expand, • Exposure to complex, real world data challenges at scale How to Apply 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.

🚀 Senior AI Delivery Lead | Associate Director | Security & Justice 📍 United Kingdom | Permanent | Leading Consultancy Are you an AI engineer who's tired of being the person who "advises" on AI — and actually wants to build it? We're hiring a Senior AI Delivery Lead at Associate Director level for a high-impact practice working across some of the UK's most complex public sector programmes. Think policing, defence, justice, and national security — environments where the bar for reliability, security, and responsible AI is about as high as it gets. This is a hands-on technical leadership role. You'll be architecting and shipping production-grade AI systems, not producing slide decks about them. ────────────────────────────── WHAT YOU'LL BE DOING ────────────────────────────── 🔧 Technical Architecture • Designing end-to-end LLM and RAG systems integrated into complex enterprise workflows, • Deploying and optimising models on AWS Bedrock, Azure AI Foundry, and self-hosted GPU infrastructure (vLLM, SGLang, Ollama), • Building robust MLOps/LLMOps pipelines — CI/CD, model monitoring, evaluation frameworks, observability, • Making the call on when AI is the right answer — and when a simpler solution is better 📦 Delivery • Translating client requirements into technical roadmaps and shipping production-ready systems, • Moving AI from prototype to hardened, live service in high-security environments, • Proactively managing technical risk — security vulnerabilities, deployment bottlenecks, delivery timelines 👥 Leadership • Leading cross-functional teams of data scientists and engineers, • Communicating complex AI concepts to senior non-technical stakeholders, • Mentoring and upskilling engineers, building a culture of engineering excellence ────────────────────────────── WHAT WE'RE LOOKING FOR ────────────────────────────── ✅ Expert Python — plus hands-on experience with LangChain, LangGraph, PyTorch, TensorFlow or equivalent ✅ Deep knowledge of LLMs, RAG, prompt engineering, fine-tuning, vector databases, and generative architectures ✅ Production AI/ML delivery experience — real-world impact matters more than credentials ✅ Cloud-agnostic experience across AWS, Azure, and GCP ✅ Strong MLOps/LLMOps background — CI/CD for ML, governance, model monitoring ✅ Experience leading technical teams and managing senior stakeholder relationships ✅ Track record in a complex, regulated industry — healthcare, government, finance, defence, or similar No minimum education requirement. A PhD, strong industry experience, or impressive open source contributions all count equally. What matters is shipped, production-grade AI. Domain experience in Security & Justice is a bonus — not a prerequisite. A willingness to upskill in the sector is what counts. Security Clearance may be required. ────────────────────────────── WHY THIS ROLE? ────────────────────────────── 💡 Real ownership — architect and deliver, not just advise 🏛️ High-stakes, meaningful work — the kind where your systems actually matter 📈 Career trajectory — joining at a moment of significant AI scale-up 🤝 Senior exposure — direct engagement with client leadership from day one ────────────────────────────── Interested or know someone who might be? Drop me a message or apply directly — all conversations are confidential. #AIEngineering #GenerativeAI #LLM #MLOps #MachineLearning #TechJobs #UKTech #PublicSector #AIJobs #LangChain #RAG #HiringNow

• Senior Infrastructure Engineer, • Contract Length: 11 months, • Working Pattern: Hybrid (2 days per week in the office), Newcastle, • £600 per day Inside IR35, • Security Clearance: Active SC Clearance required Our client is seeking an experienced Senior Infrastructure Engineer to join their team on a large-scale enterprise network and cloud-integrated infrastructure modernisation programme. As a Senior Infrastructure Engineer, you will be a hands-on specialist, playing a key role in both the design and delivery of robust, scalable network solutions. You will be instrumental in driving long-term platform improvements while supporting critical business services. Key responsibilities: • Design, implement, and enhance enterprise network infrastructure across data centre, hybrid, and cloud environments, • Build and maintain secure hybrid connectivity across Azure, AWS, and OCI, • Develop and maintain network automation using Python, Ansible, and Infrastructure as Code, • Collaborate with architecture and platform teams to ensure solutions align with engineering standards and strategic direction, • Implement and manage Palo Alto firewall policies across on-premise and cloud environments, aligned to Zero Trust principles Essential Skills • Active Security Clearance (SC) – must have, • Strong experience in enterprise networking engineering, • Proven network automation experience using Python, Ansible, or similar tooling, • Hands-on cloud experience with at least one provider (Azure, AWS, or OCI), • Demonstrable track record as a Network / Infrastructure Engineer within large-scale enterprise environments

Senior Systems Integration Engineer | Hybrid London | 6-Month FTC Overview: An exciting opportunity has arisen with a purpose-driven organisation undergoing significant technology transformation. We are seeking a Senior Systems Integration Engineer to bring stability, connectivity, and technical leadership to a complex multi-platform environment. Reporting directly to the CEO, you will act as the organisation's trusted technical voice, connecting systems, improving data integrity, strengthening vendor accountability, and helping create a scalable technology foundation for future growth. This is a hands-on role suited to someone who enjoys solving technical challenges, working across multiple systems, and delivering practical integration solutions that have a direct impact on business operations. Role & Responsibilities: • Design, build, test, and support integrations across Microsoft Dynamics CRM, Business Central, SaaS platforms, and other business systems., • Develop and maintain API-based integrations, data pipelines, webhooks, and automated workflows., • Troubleshoot integration issues, data discrepancies, and system connectivity challenges., • Support platform upgrades, system enhancements, and data migration activities., • Work closely with third-party suppliers and implementation partners to deliver technical solutions., • Assist with improving data quality, system reliability, and operational efficiency., • Document integration designs, technical processes, and recommendations., • Collaborate with technical and non-technical stakeholders to understand requirements and deliver effective solutions. Skills & Experience Essential • Strong experience in Systems Integration, Integration Engineering, Application Integration, or a similar technical role., • Hands-on experience working with REST APIs, web services, ETL processes, webhooks, and system integrations., • Strong troubleshooting and problem-solving skills., • Experience working with third-party vendors and technology partners., • Ability to communicate technical concepts clearly to a range of stakeholders. Desirable • Experience with Microsoft Dynamics CRM and/or Microsoft Business Central., • Experience delivering data migration, platform implementation, or system modernisation projects., • Knowledge of integration platforms, workflow automation, and API management tools., • Experience working across multiple business systems and third-party technology suppliers. Senior Systems Integration Engineer | Hybrid London | 6-Month FTC

🚀 Hiring: Forward Deployed Engineer (Fully Remote across the UK) I’m partnering with a leading Revenue Ops platform transforming the commercial insurance space with a cutting-edge AI system that pulls from hundreds of data sources to modernize underwriting. 💰 $180M funded (Series A–D) 📈 7-figure recurring revenue 🌎 Fully remote 🧠 World-class engineering team This is a high-impact, customer-facing engineering role where you’ll architect and build custom solutions directly with enterprise clients. You’ll be writing production code, owning implementations end-to-end, and shaping long-term customer success. Must have experience: • BS in Computer Science, • Strong programming skills + SQL (live coding interview, no AI allowed), • Currently shipping production code, • Experience leading complex B2B SaaS implementations, • Forward Deployed / Solutions Engineering background, • 6+ years of experience, • Startup experience (Seed- Series E) Compensation is flexible and tailored to experience — we’re open to candidate expectations Fully remote across the UK

LMOceans back with another absolute belter of a role! Principal Geotechnical Engineer - Offshore Survey & Drillship Operations Our client, an ever-growing brand within the Survey and Drillship space, need an experienced and commercially competent "Principal Geotechnical Engineer" to join their rapidly expanding offshore geotechnical survey team, supporting complex marine site investigation projects across the offshore energy, subsea infrastructure and nearshore construction sectors. This is a senior, technical and operational role suited to an individual with strong offshore geotechnical investigation experience, ideally gained within geotechnical survey contractors, offshore drilling contractors, marine site investigation companies or integrated survey organisations. We mention this to highlight and stress that this is not a Design-led Consultancy role. The successful profile will play a key role in the planning, delivery and technical oversight of offshore geotechnical campaigns, including drillship and jack-up operations, in situ testing programmes and seabed sampling works. Unlike traditional consultancy design roles, this position is focused on operational geotechnics, field investigation leadership and client-facing project delivery. Scope Reporting to the Geotechnical Operations Manager, you will provide technical leadership across offshore geotechnical investigations from tender stage through to project execution and reporting. You will work closely with offshore crews, survey personnel, drilling teams and project managers to ensure safe, efficient and high-quality delivery of geotechnical acquisition programmes. Key responsibilities will include: • Leading the technical planning and execution of offshore geotechnical site investigations, • Providing geotechnical oversight for drillship, jack-up and vessel-based operations, • Managing offshore sampling and in situ testing programmes, including CPT, vibrocore, piston core and rotary drilling operations, • Reviewing and interpreting offshore geotechnical data in real time, • Acting as the senior technical interface with clients, vessel teams and subcontractors, • Supporting tendering activities, methodology development and operational risk assessments, • Mentoring junior geotechnical engineers and offshore personnel, • Ensuring compliance with relevant offshore, marine and HSEQ standards, • Contributing to factual reporting and preliminary geotechnical interpretation, • Supporting mobilisation, equipment selection and offshore readiness reviews Applicants should possess: • Degree qualification in Geotechnical Engineering, Civil Engineering, Engineering Geology or a related discipline, • Significant experience within offshore geotechnical site investigation or marine ground investigation environments, • Strong understanding of offshore drilling, sampling and in situ testing techniques, • Previous experience supporting or supervising offshore geotechnical operations aboard drillships or jack-up platforms, • Knowledge of offshore survey and positioning systems would be advantageous, • Experience working within offshore energy sectors such as offshore wind, oil & gas, interconnectors or subsea cables, • Excellent technical reporting and client communication skills, • Ability to manage multiple projects and work effectively under operational pressures, • Willingness to travel internationally and undertake offshore assignments where required Highly desirable (not essential): • Chartered status or working towards Chartership, • Experience with integrated geophysical and geotechnical survey projects, • Familiarity with data acquisition and offshore reporting software What Our Client Will Offer: • Opportunity to work on high-profile offshore investigation projects globally, • A technically strong and collaborative operational environment, • Career progression within a growing marine geotechnical business, • Support towards professional development and Chartership, • Flexible working arrangements where operationally feasible, • One-of-one unique company ownership model Sound like you? Get in touch today: james@lmoceans.com / info@lmoceans.com LMOceans

Test Analyst / QA Tester – Hybrid – Warwick - UK (Tech stack: SQL, Postman/Bruno, QA, Tester, Test Analyst, API Testing, Selenium, Playwright, Jira, Azure DevOps) Are you a sharp QA Tester with strong manual testing skills and experience using SQL and Postman/Bruno? Our client is looking for a proactive Tester who enjoys problem-solving, exploratory testing and delivering high-quality software in a collaborative remote environment. This is a fantastic opportunity for a mid-level QA Engineer / Tester to join a growing team where quality is genuinely valued. What you’ll be doing • Creating and executing test plans, test cases and test scenarios, • Performing API testing using Postman/Bruno, • Using SQL for backend and data validation testing, • Carrying out regression, smoke and exploratory testing, • Working closely with developers, business stakeholders and other QA professionals, • Supporting continuous improvement across testing processes Skills we’re looking for • Strong manual QA and testing experience, • Experience writing SQL queries including joins and data validation, • Hands-on API testing experience using Postman/Bruno, • Strong analytical and communication skills, • Experience with Jira, Azure DevOps or similar tools, • Agile environment experience Experience with Selenium, Playwright or automation frameworks would be a bonus. We’re looking for a detail-oriented Tester who cares about software quality, enjoys investigating issues and wants to grow their QA career in a supportive team. Location: Hybrid – UK (3 times a year in the office in Warwick) Salary: Up to £45K + Benefits Applicants must be UK-based and have the right to work in the UK. NOIRUKTECHREC NOIRUKREC

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

Lead Machine Learning Engineer 12 Month FTC Remote UK, up to £90,000, 12 month fixed term contract This is a rare opportunity to take ownership of machine learning delivery in a business that is actively investing in AI and moving from proof of concept into production. You will play a pivotal role in shaping how advanced ML and generative AI solutions are engineered, deployed and scaled, with genuine scope for the role to become permanent. The Company They are a large, well established UK organisation operating in a highly regulated, information rich environment. With thousands of colleagues nationwide, they combine deep domain expertise with a strong focus on people, quality and long term outcomes. Data and AI are now a strategic priority, with senior backing to build robust, production grade ML capability. The Role • Lead the engineering and productionisation of machine learning and generative AI solutions., • Build and operate end to end ML pipelines, including data preparation, model deployment, monitoring and governance., • Work closely with data scientists and data engineers to turn experiments and POCs into scalable, reliable services., • Develop solutions for large scale unstructured data, including complex document processing and LLM ready data pipelines., • Own MLOps practices, covering CI/CD, model serving, observability and lifecycle management., • Provide hands on technical leadership, contributing to architecture decisions and best practice., • Act as a delivery focused partner to stakeholders, confidently explaining trade offs and recommendations. Your Skills & Experience • Strong commercial experience as an ML Engineer or MLOps focused engineer, ideally with a software engineering background., • Proven ability to deploy, operate and maintain machine learning systems in production., • Hands on experience with cloud based data and ML platforms, particularly on Azure., • Solid knowledge of Databricks and modern data engineering concepts such as lakehouse architectures., • Experience preparing data and pipelines for LLM based use cases and NLP workloads., • Strong Python skills, with experience building APIs or services, for example using FastAPI., • Confidence working across the full delivery lifecycle, from design through to monitoring and optimisation., • Clear communication skills and comfort working directly with non technical stakeholders. What They Offer • Excellent work life balance and a supportive, collaborative culture., • The chance to shape ML engineering standards and capability from the ground up., • Strong potential for the role to become permanent, with future people leadership opportunities. How to Apply If you are an experienced ML Engineer looking for a hands on role with real influence and long term potential, apply now to find out more.

Electrical Design Engineer – Senior PSCAD (Remote Contract) Role Overview We are seeking an experienced and proactive Electrical Design Engineer – Senior PSCAD to support offshore wind farm and grid integration projects across a growing international renewable energy portfolio. This role focuses on delivering high-quality EMT and RMS power system studies, supporting grid compliance activities, and collaborating with multidisciplinary engineering teams in a dynamic project environment. The successful candidate will bring strong technical expertise in PSCAD and DigSILENT PowerFactory, with the ability to independently manage studies while adapting to evolving project priorities and workloads. Key Responsibilities You will support projects through multiple development and delivery phases, including: • Developing and validating EMT and RMS simulation models in PSCAD and DIgSILENT PowerFactory, • Creating and maintaining models for:, • Wind Turbine Generators (WTGs), • Power Plant Controllers (PPCs), • STATCOMs and associated grid-support equipment, • Planning and executing:, • Grid Code compliance studies, • Small disturbance analyses, • Fault and transient performance studies, • Producing clear, audit-ready technical documentation for:, • Internal engineering reviews, • External regulatory and compliance submissions, • Supporting grid connection and system integration workstreams, • Coordinating with OEMs regarding:, • Model delivery Requirements: Essential Skills & Experience • Degree in Electrical Engineering, Power Systems Engineering, or equivalent (BEng, MSc, or PhD), • Minimum 5 years’ hands-on experience performing EMT studies using PSCAD, • Strong expertise in DIgSILENT PowerFactory, including:, • Steady-state analysis, • RMS simulations, • Experience working with:, • Vendor/OEM models, • Model parameterization, • Grid compliance validation, • Scripting and automation skills for engineering workflows and post-processing, • Experience coordinating with OEMs on model delivery and technical validation, • Strong technical reporting and stakeholder communication skills, • Ability to work independently while maintaining high engineering quality standards, • Strong data confidentiality and professional documentation practices Engagement Details: • Contract Type: Consultant, • Location: Fully Remote, • Travel Requirement: None, • Billing Model: Hourly or Daily Rate, • Equipment & Software: Laptop, licenses, and required system access provided, • Flexibility: Work allocation may vary depending on project priorities and workload demands The Opportunity: This is an exciting opportunity to work on large-scale offshore wind and renewable energy projects, contributing to critical grid integration and energy transition initiatives while collaborating with experienced engineering teams in a flexible, remote-first environment.

Contract AI Engineer | Outside IR35 | Agentic AI / LLMs / RAG Conquer AI is hiring a Contract AI Engineer We’re looking for a highly capable, hands-on AI Engineer with a strong traditional software engineering background and deep applied AI experience. This is an Outside IR35 contract working on greenfield AI projects for enterprise clients. You’ll be helping design and build real-world systems using LLMs, RAG, vector databases, agentic AI, and workflow automation. This is not a research-only role. We need someone who can build production-grade systems, integrate with existing platforms, and move quickly from problem definition to working software. What you’ll be working on: Agentic AI workflow automation LLM-powered applications RAG and knowledge systems Vector database architecture and retrieval pipelines Document intelligence and information extraction AI systems that connect into business workflows API integrations and backend services Greenfield client projects and internal Conquer AI product work Core skills we’re looking for: Strong machine learning experience Strong traditional software engineering background Python Node.js TypeScript LLMs RAG Vector databases Agentic AI systems Workflow automation API integrations Backend engineering You’ll be a strong fit if you: Have built real AI systems beyond prototypes Can design and ship reliable backend services Understand retrieval, ranking, chunking, embeddings, and evaluation Have experience integrating LLMs into business workflows Can work with ambiguity and move quickly Are comfortable working with client-facing teams Can turn vague business problems into working technical solutions Care about practical delivery, not just experimentation Nice to have: Experience with AWS, Azure, or GCP Experience with LangChain, LlamaIndex, Semantic Kernel, CrewAI, AutoGen, or similar Experience with Pinecone, Weaviate, Qdrant, Chroma, pgvector, or similar Experience with document processing, OCR, structured extraction, or enterprise search Experience in consulting, enterprise delivery, SaaS, or startup environments About Conquer AI Conquer AI builds bespoke agentic AI systems for enterprise clients. We work with clients to understand their workflows, identify where AI can automate or augment work, and build practical systems that operate inside their existing environment. Our work spans document intelligence, workflow automation, knowledge retrieval, operational copilots, AI agents, data extraction, and enterprise integrations. Contract: Outside IR35 Location: UK-based preferred Working style: Hybrid / remote, with occasional client or team sessions Start: ASAP Engagement: Contract If you’re a strong software engineer with serious applied AI experience and you want to work on meaningful agentic AI systems, we’d like to speak with you.

STAFF DEVSECOPS ENGINEER Location: Remote | Type: Contract About Newpage Solutions Newpage Solutions is a global digital health innovation company helping people live longer, healthier lives. We partner with life sciences organizations—including pharmaceutical, biotech, and healthcare leaders—to build transformative AI and data-driven technologies addressing real-world health challenges. From strategy and research to UX design and agile development, we deliver and validate impactful solutions using lean, human-centered practices. We are proud to be Great Place to Work® certified for three consecutive years, hold a top Glassdoor rating, and were named among the "Top 50 Most Promising Healthcare Solution Providers" by CIO Review. As a remote-first company, we foster creativity, continuous learning, and inclusivity, creating an environment where bold ideas thrive and make a measurable difference in people’s lives. Newpage looks for candidates who are invested in long-term impact. Applications with a pattern of frequent job changes may not align with the values we prioritize. Your Mission Newpage is hiring a Staff DevSecOps Engineer to lead the security engineering posture of a strategic engagement with a global top-tier pharmaceutical company. As the technical anchor for the account, you will define how secure software is built, shipped, and operated across the client's cloud estate — spanning AWS, Azure, and GCP workloads — from research and clinical data platforms through to commercial and supply-chain systems. The client's strategic direction leans on AWS, and depth there is a meaningful advantage. You will partner closely with the client's CISO organization, cloud platform team, application teams, and quality and compliance functions to embed security as code into every pipeline. This is a hands-on principal-level role for someone who thrives at the intersection of cloud-native engineering, regulatory rigor, and developer experience. What You’ll Do Set DevSecOps Strategy & Standards • Define and own the DevSecOps reference architecture across the client's cloud estate — landing zones, account/subscription vending, identity, secrets, network segmentation, and workload isolation patterns — applied consistently whether on AWS (preferred), Azure, or GCP., • Set the multi-year roadmap for shift-left security, supply-chain integrity, runtime protection, and continuous compliance evidence collection across regulated and non-regulated workloads., • Act as the senior technical voice in client steering committees, security architecture reviews, and audit readiness sessions; translate regulatory intent into engineering requirements that teams can implement., • Mentor and coach Newpage and client engineers; raise the bar on secure coding, threat modeling, and incident response across the account. Engineer Security Into the Cloud Estate • Design and operate hardened, multi-account or multi-subscription landing zones — AWS Control Tower / Organizations / SCPs / Identity Center (preferred), Azure Landing Zones / Management Groups / Policy, or GCP Organization Policy / Folders — with guardrails enforced as code., • Build paved-road CI/CD pipelines (GitHub Actions, GitLab CI, AWS CodePipeline, Azure DevOps, or Jenkins) with integrated SAST, DAST, SCA, secrets scanning, IaC scanning, container scanning, and SBOM generation., • Implement policy-as-code using OPA/Rego, Checkov, and cloud-native equivalents (AWS Config Rules / CloudFormation Guard, Azure Policy, GCP Organization Policy); enforce at pull-request time and in production., • Operationalize cloud-native security services end-to-end — AWS GuardDuty / Security Hub / Macie / Inspector / IAM Access Analyzer / KMS / Secrets Manager / WAF (primary), with working knowledge of Microsoft Defender for Cloud / Sentinel and GCP Security Command Center., • Lead Kubernetes and container security across managed offerings (EKS preferred; AKS, GKE accepted), including admission control, image signing (Sigstore/Cosign), runtime threat detection (Falco or equivalent), and Pod Security Standards enforcement., • Drive supply-chain security to SLSA-aligned maturity: signed builds, attested artifacts, dependency provenance, and verified deploys. Own Regulated & Pharma-Specific Controls • Engineer controls that satisfy GxP, 21 CFR Part 11, Annex 11, HIPAA, GDPR, and the client's global information security standards — without slowing delivery teams down., • Design continuous compliance evidence pipelines that auto-generate audit artifacts for FDA, EMA, and internal QA inspections, replacing manual screenshotting and ticket-based attestations., • Partner with Computer System Validation (CSV) and Computer Software Assurance (CSA) teams to align DevSecOps tooling with validated-state expectations for clinical, manufacturing, and pharmacovigilance systems., • Champion data protection for sensitive scientific IP, clinical trial data, and patient-adjacent datasets — tokenization, encryption strategy, and least-privilege access across cloud data services (e.g., S3 / Redshift / RDS / Lake Formation on AWS, or equivalents on Azure and GCP). Drive Detection, Response & Resilience • Engineer detection-as-code and response automation in collaboration with the client SOC; tune findings, suppress noise, and ensure every signal is actionable., • Run blameless postmortems for security incidents and near-misses; convert lessons into durable engineering improvements., • Establish security SLOs and meaningful metrics — mean time to remediate, control coverage, drift, and developer-impacting friction. Influence Across Client and Practice • Build trust with the client's senior security, platform, and quality leadership; become the person they call before launching a new initiative., • Contribute to Newpage's internal DevSecOps practice: reusable accelerators, case studies, hiring loops, and the next generation of senior engineers across the company. What You Bring • 8+ years of professional experience in security engineering, platform engineering, or SRE, with at least 4 years leading DevSecOps initiatives at scale., • Deep, current expertise with at least one major public cloud at production scale — AWS is strongly preferred (you have personally designed and operated multi-account environments with 50+ accounts); Azure or GCP at equivalent depth will be considered., • Working familiarity with at least one additional cloud beyond your primary — enough to design controls that translate cleanly across providers., • Strong hands-on coding skills in at least one of Python, Go, or TypeScript, and fluency in infrastructure-as-code with Terraform (cloud-agnostic mastery preferred; CDK, Bicep, or Pulumi also welcome)., • Demonstrable experience embedding security into CI/CD pipelines and developer workflows for engineering organizations of 200+ developers., • Working knowledge of Kubernetes security on at least one managed offering (EKS preferred; AKS or GKE accepted) — including network policy, admission control, and supply-chain controls., • Track record of operating in a regulated industry — pharma, healthcare, financial services, or critical infrastructure — and translating compliance frameworks into engineering controls., • Excellent written and verbal communication skills; comfortable presenting to a client CISO one day and pairing with a junior engineer the next., • Nice to have Direct experience with pharma or life-sciences workloads: GxP, 21 CFR Part 11, Annex 11, CSV/CSA, pharmacovigilance systems, or clinical data platforms., • Nice to have Exposure to threat modeling frameworks (STRIDE, PASTA), MITRE ATT&CK, and threat-informed defense., • Nice to have Experience with policy-as-code (OPA/Rego, Cedar) and continuous compliance platforms (Wiz, Prisma Cloud, Orca, Drata, Vanta) at enterprise scale., • Nice to have Hands-on with secret management (HashiCorp Vault, AWS Secrets Manager, Azure Key Vault, or GCP Secret Manager) and zero-trust networking patterns., • Nice to have Relevant certifications such as AWS Security Specialty (preferred), Azure Security Engineer Associate, Google Professional Cloud Security Engineer, CISSP, CCSP, OSCP, or GIAC GCSA — credentials are a signal, not a substitute for evidence., • Nice to have Familiarity with AI/ML pipeline security and the emerging risks around generative AI in regulated environments. What We Offer At Newpage, we’re building a company that works smart and grows with agility—where driven individuals come together to do work that matters. We offer: • Flexible, remote-first work – Choose where you work best while staying connected to a global, collaborative team., • A people-first culture – Supportive peers, open communication, and a strong sense of belonging., • Smart, purposeful collaboration – Work with talented colleagues to create technologies that solve meaningful business challenges., • Balance that lasts – We respect your time and support a healthy integration of work and life., • Room to grow – Opportunities for learning, leadership, and career development, shaped around you., • Meaningful rewards – Competitive compensation that recognizes both contribution and potential. Ready to Apply? Let’s build the future of health together. Apply below or reach out to Bhavik.rathod@newpage.io with any questions.

Who We Are Ema is building the world’s leading Agentic AI platform to transform enterprise productivity. We enable organizations to delegate repetitive tasks to Ema, the Universal AI Employee, delivering 10x gains in workforce efficiency, across functions. Founded by former executives from Google, Coinbase, Flipkart, and Okta, our team includes engineers from premier tech companies and graduates of Stanford, MIT, UC Berkeley, CMU, and IITs. We are backed by industry leading investors including Accel, Naspers/Prosus, Section32, and angels like Sheryl Sandberg and Dustin Moskovitz. Headquartered in Silicon Valley and with offices in London, Bangalore and Vancouver and Bangalore, Ema is at the frontier of what Agentic AI can do in production — we ship real systems that run real business processes at scale. Who You Are The AI Implementation Engineer owns the technical delivery and stabilization of Ema's agentic AI solutions in customer environments — from commitment through production rollout and steady state. This is a hands-on, post-sales, customer-facing engineering role: you build, you deliver, and you are the technical anchor the customer leans on. You are equally comfortable writing production code, debugging an integration the night before a go-live, walking a customer's VP of Operations through an architecture decision and translating a messy business problem into a feasible agentic workflow. You thrive in ambiguity, make abstract problems concrete, and reduce chaos rather than amplify it when things go wrong. You'll work closely with Value Engineering, Product, Engineering, Infrastructure, and the customer's IT and business teams to prove that agentic AI can be implemented responsibly — not heroically. What You'll Work On End-to-End AI Delivery Ownership • Own technical delivery from design alignment through production rollout and Stabilization, • Configure, extend, and integrate Ema's agentic AI platform to meet customer requirements, • Ensure solutions align with Ema's agentic architecture and platform capabilities Hands-On Engineering • Write clean, efficient, maintainable code to build customer integrations, custom agents, and workflow extensions, • Build and maintain APIs (REST, gRPC) and integrations across enterprise SaaS systems, • Work with back-end languages such as Python and Go, and contribute to front-end interfaces (React/Angular, HTML, CSS, JavaScript) where customer-facing tooling is needed, • Work with data stores such as PostgreSQL, Clickhouse, Elastic, and Redis to shape scalable, extensible schemas for customer deployments Feasibility Judgment & Agentic Workflow Translation • Develop deep understanding of each customer's business processes, systems, and constraints, • Translate business workflows into feasible agentic AI workflows — and push back when something shouldn't be built, • Anticipate where AI implementations break: integrations, data quality, scale, edge cases Customer Leadership (Post-Sales) • Be the primary technical point of contact for customer business and IT stakeholders during implementation, • Coach customer teams and internal partners during high-stress phases — go-lives, incidents, scope changes, • Communicate progress, risks, and decisions clearly across technical and executive audiences Production Readiness & Stabilization • Stand systems up in multi-tenant SaaS environments and harden them for production, • Apply security best practices and enterprise integration patterns (auth, RBAC, audit, compliance), • Track success through adoption signals and outcome metrics — not just feature shipment, • Stabilize systems post go-live under real pressure Cross-Functional Collaboration • Coordinate across Ema Engineering, Product, Data, Infrastructure, and Value Engineering, • Feed customer learnings back into product and platform improvements, • Contribute to shared standards, delivery discipline, and reusable patterns across the implementation team Ideally, You'd Have • 5–8 years of relevant experience in technical implementation, post-sales engineering, solutions engineering, or hands-on software engineering with significant customer-facing exposure, • Bachelor's degree in Computer Science or related field, • Hands-on production experience with agentic AI, automation, LLM applications, or workflow orchestration platforms — beyond pilots, • Strong back-end engineering skills in Python and/or Go; solid foundations in algorithms, data structures, and object-oriented programming, • Experience designing and building APIs (REST, gRPC) and integrations across enterprise systems, • Working knowledge of databases (PostgreSQL, Elastic, Redis, Clickhouse) and front- end frameworks (React or Angular), • Experience with cloud platforms (AWS, GCP, Azure) and containerization (Docker, Kubernetes), • Experience deploying and operating software in multi-tenant SaaS environments, • Understanding of security best practices and protocols for enterprise software, • Track record of owning customer-facing delivery end-to-end — production, scale, and accountability, • Background in fast-growing startups or enterprise platform companies, • Strong technical judgment, calm under pressure, and excellent written and verbal communication with both engineers and business stakeholders, • Experience working with global, distributed teams Compensation offered will be determined by factors such as location, level, job-related knowledge, skills, and experience. Certain roles may be eligible for variable compensation, equity, and benefits. Ema Unlimited is an equal opportunity employer and is committed to providing equal employment opportunities to all employees and applicants for employment without regard to race, color, religion, sex, national origin, age, disability, sexual orientation, gender identity, or genetics.

Lead Data Engineer - Outside £600p/d | 3-6 month | Lead a Data Engineering function | HealthTech | Python, Spark, Data Bricks, AWS, Azure | Remote UK based G.Digital have exclusively partnered with an exciting HealthTech business looking to hire a Lead Data Engineer to help kick off a build of a brand-new Data Engineering function from the ground up. This isn’t your standard contract its a leadership role so definitely won’t suit everyone... 👀 🔥 Initially, you’ll be hands-on delivering a critical Data Engineering project expected to run for the first 3–6 months 🔥 From there, you’ll have the autonomy to define what the Data Engineering capability looks like moving forward, tooling, architecture, strategy and team build included 🔥 Huge opportunity to genuinely influence engineering direction within a scaling business What they’re looking for 👇 😍 Strong hands-on Data Engineering experience across Python, Spark, SQL and PySpark 😍 Experience working with hyperscaler cloud platforms such as AWS, Azure or GCP 😍 Exposure to modern tooling including Databricks, Microsoft Fabric and PowerBI 😍 Previous experience building, leading or mentoring Data Engineering teams What’s in it for you? 👇 📍 Day Rate £600p/d | Outside ir35 📍 Remote - Must be UK based 📍 Opportunity to kick off a greenfield build Interested? Drop me a message or email: 📩 p.rainford@g-digital.co.uk #DataEngineering #LeadDataEngineer #HealthTech #Databricks #AWS #Azure #Python #Spark #Hiring