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Overview Our client is seeking a Senior Azure Data Engineer to join their growing Managed Services team. This is a client-facing role focused on supporting and enhancing cloud-based data platforms, ensuring they are scalable, reliable, and high performing. You will work within multidisciplinary Agile teams, providing both hands-on engineering and technical leadership. This role offers the opportunity to solve complex data challenges, improve platform performance, and help clients maximise the value of their data environments. Responsibilities • Support and enhance data platforms built on Microsoft Fabric, Azure Data Factory, SQL Server, and SSIS., • Monitor, troubleshoot, and proactively resolve data pipeline and platform issues across multiple environments., • Design and implement CI/CD pipelines for data workflows and deployments., • Lead performance tuning, optimisation, and reliability improvements across data platforms., • Collaborate with stakeholders to gather requirements and translate technical challenges into actionable solutions., • Build and maintain strong client relationships, ensuring consistent delivery and value., • Mentor junior engineers and promote best practices within the team., • Drive continuous improvement across development, testing, and deployment processes., • Proven experience as a Data Engineer supporting production data platforms and pipelines., • Strong expertise in T-SQL and SQL Server, including performance tuning and optimisation., • Hands-on experience with Microsoft Fabric and Azure Data Factory, including orchestration and environment management., • Experience with SSIS for ETL and legacy data integration., • Strong understanding of scalable and resilient data architecture design., • Experience implementing CI/CD pipelines using tools such as Azure DevOps., • Experience working in Agile environments (Scrum, Kanban, TDD)., • Strong communication skills, with the ability to engage technical and non-technical stakeholders., • Experience managing multiple client environments and ensuring stability and performance. Desirable: • Understanding of data governance, data quality, and metadata management., • Experience with Infrastructure as Code (e.g. Terraform, Bicep, ARM templates)., • Familiarity with tools such as Power BI or Synapse Analytics., • Experience with scripting languages such as Python., • Exposure to IT service management tools (e.g. ServiceNow)., • Experience in consultancy or multi-client environments., • Competitive salary with structured progression opportunities., • Contributory pension scheme (6% employer contribution)., • 25 days’ annual leave plus public holidays., • Flexible benefits package, including private healthcare, dental cover, and additional holiday purchase., • Life assurance, critical illness cover, and wellbeing support., • Cycle-to-Work scheme and electric vehicle salary sacrifice options.

Lead AI/ML Engineer - (Fintech/Lending & Decision Systems) - Dubai OR Remote The Opportunity A high-growth, technology-led business is building next-generation, AI-powered lending and decisioning systems from the ground up. This is a foundational leadership role—owning the architecture, strategy, and execution of intelligent lending infrastructure. You’ll operate at the intersection of AI, risk, and product, shaping systems that are autonomous, scalable, and grounded in strong ethical and regulatory principles. If you’re motivated by building production-grade AI systems that directly impact real-world decision-making, this role offers both ownership and scope. What You’ll Own • End-to-end design of AI-driven lending and decisioning systems (data → models → decision engines → feedback loops), • Development of agentic AI frameworks to automate and optimise underwriting, risk, and customer journeys, • Deployment of self-improving systems with continuous learning and real-time adaptation, • Technical vision and roadmap for AI within a regulated, high-stakes environment, • Cross-functional alignment across Product, Engineering, Risk, and Operations, • Leadership and scaling of a high-performing AI/ML team What You’ll Build • Intelligent risk and decisioning engines capable of operating with minimal human intervention, • Scalable data and model pipelines for high-volume, high-accuracy predictions, • Transparent, auditable AI systems aligned with regulatory and ethical standards, • Customer-centric AI experiences that improve speed, accuracy, and trust in lending Your Background • Led AI/ML teams in financial services or similarly regulated environments, • Built or scaled lending, credit, or decisioning platforms, • Deep expertise in machine learning and production AI systems, • Strong understanding of regulatory frameworks and risk management, • Ability to operate at both strategy and execution level, • Comfortable in high-growth, ambiguous environments Differentiators (Nice to Have) • Experience with agent-based systems or LLM-powered workflows, • Exposure to ethical AI and model governance frameworks, • Product or UX sensibility in customer-facing financial tools, • Experience scaling teams in early-stage or fast-growth environments, • Arabic or additional language capabilities

Job description: Platform Engineer Location: Leeds, UK (3 days in office) SC Cleared/Eligibilty: Required Job Type: Full-Time Relevant Experience: 10-15 Years Key responsibilities: • Design, build, and maintain efficient, reusable, and reliable platform solutions. Including monitoring, managing and optimising cloud-based (AWS) resources., • Feed engineering insight and experience into the wider Strategy and Architecture team to identify opportunities to improve engineering across the whole organisation., • Document all procedures and policies for maintaining and improving system infrastructure., • Implement automation tools and frameworks (CI/CD pipelines) for efficient and secure deployment and operations. Whilst also working with development teams to facilitate the deployment and operation of systems. Skills Required: Minimum • Experience as a Senior Platform Engineer including a solid understanding of software engineering principles and their application., • Experience of Scripting and pipeline automation (e.g. Jenkins and GitHub Actions)., • Strong understanding of cloud services (AWS) and containerisation technologies (e.g., Docker, Kubernetes)., • Experience of working closely with development and infrastructure teams to quickly understand requirements and implement solutions., • Adept at leveraging automation to improve development processes and optimise software delivery., • Ability to cooperate closely with both engineers and product teams — including designers, product managers, and analysts., • Hands on CloudFormation scripting, troubleshooting and debugging, • Working knowledge of Chef, scripting and troubleshooting, • Experience with Python scripting and troubleshooting, • Experience with Jenkins pipelines (multibranch), deployments, groovy scripting, • Experience with Linux commands and knowledge of troubleshooting web services, • Experience with AWS services – EC2, NLB, API Gateway, ASG, etc. Why Join Us? • We’re a purpose‑driven organisation committed to creating positive impact and championing inclusion., • You’ll join a culture that encourages innovation, collaboration, and continuous growth., • We celebrate difference and believe diverse perspectives lead to stronger solutions., • Even if you don’t meet every requirement, we encourage you to apply — great talent comes from a variety of backgrounds., • Your lived experience, unique strengths, and personal story matter — they help us design better outcomes for the communities we serve., • We celebrate diversity of experience, knowledge, backgrounds, and perspectives, and believe these differences enable us to create meaningful impact. We are proud to be an equal opportunity employer and are committed to fairness and inclusion for all, regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital or partnership status, sexual orientation, gender identity, pregnancy or related conditions, or any other protected characteristic. If you require any reasonable adjustments or additional support during the recruitment process, please let us know.

Data Engineer Hybrid - 2-days per week in-office in Leeds (inside 1hr commute) / 2-days per month in-office in Leeds (outside 1hr commute) A fast-growing digital transformation consultancy is seeking a Data Engineer to play a key role in supporting the digital transformation journeys of its clients. What you’ll be doing We’re looking for someone experienced in guiding teams and supporting clients in using data to enable better decision-making. With exciting plans for our Data Capability in 2026, we’d love to hear from people passionate about building great teams and supporting our internal Data Engineer Academy. Experience with healthcare data—or an interest in working on healthcare-focused data projects—is a bonus. What you’ll bring • Design and implementation of complex data pipelines using both NoSQL and relational databases, • Development and management of cloud-based data solutions with a focus on scalability and security, • Leadership and mentoring of junior data engineers, fostering knowledge sharing and professional growth, • Implementation and oversight of CI/CD pipelines for efficient deployment of data services, • Strong proficiency in Python, SQL, and other relevant backend languages, • Effective use of backend programming languages for data processing and manipulation Nice-to-have experience (but support will be provided if you don’t have these yet): • Participation in the organisation and delivery of our internal Data Engineer Academy, • Advanced scripting skills for automation of data processes and ETL workflows, • Experience with business intelligence (BI) tools to deliver actionable insights, • Knowledge of software design patterns, principles, and architecture best practices, • Awareness of data engineering trends, particularly around healthcare data standards (e.g., SNOMED, FHIR, HL7), • Understanding of consultancy roles and a passion for solving client problems The perks • Competitive salary, benchmarked internally and externally for fairness, • Flexible annual leave options (buy, sell, carry forward), • Twice-yearly tax-free bonuses, • Continuous training and development—we’ll support your learning ambitions, • Flexible pension contributions, matched up to 5%, • Regular tech catch-ups, hack events, and encouragement to attend external tech events, • A full social calendar including annual parties, away days, and team socials, • Free parking at head office locations, plus Cycle2Work and green travel schemes, • Opportunities to give back through partnerships focused on improving diversity routes into tech, plus involvement in charity and community initiatives, • Hybrid and flexible working to help you collaborate, concentrate, and manage your time effectively Diversity and Inclusion We are committed to fostering a diverse, inclusive, and safe environment where everyone is encouraged to bring their authentic selves to work. We will support adjustments throughout the application and interview process—simply let our recruitment team know what you need. About us We are a successful digital transformation consultancy on a strong growth trajectory, with a reputation for delivering large-scale and operationally critical solutions. Our people are at the heart of everything we do—we’re employee-owned, which shapes our culture, engagement, and values. Our team is genuinely invested in our mission because they own part of it.

A Lead Applications Engineer is required to join a growing deep‑tech company developing advanced sensing technologies. The Lead Applications Engineer will act as the technical bridge between product development and customer deployment, taking ownership of application strategy and technical engagement. This Lead Applications Engineer role combines hands‑on engineering with leadership responsibility in a highly technical environment. Responsibilities • Lead customer-facing technical support for device and system integration, • Develop and maintain application workflows, test setups and evaluation platforms, • Work closely with internal engineering teams to validate, characterise and improve products, • Own technical documentation, application notes and customer reports, • Support product qualification, demonstrations and early customer adoption, • Mentor junior applications or test engineers as the team grows Requirements • Strong background in electronics engineering, semiconductor devices, photonics or applied physics, • Hands‑on experience with lab equipment, hardware bring‑up and system‑level testing, • Ability to translate complex technical detail into clear customer guidance, • Comfortable operating as a technical authority with customers and internal stakeholders, • Degree in Electronic Engineering, Physics or a related discipline If you’re interested in the position of Lead Applications Engineer, please apply or contact Chris Moffatt for more details.

Do you want to work with the 15th fastest-growing startup in Europe? If so, you’re in the right place. AssetCool is one of Europe’s fastest-growing startups, building the fastest path to more power on the grid. We’re tackling one of the most urgent challenges in the global energy transition: grid congestion. Electricity demand is rising fast; driven by electrification, AI and data centres. While traditional grid upgrades take years, demand exists today. The grid isn’t ready. AssetCool delivers robotic grid upgrades that physically increase the capacity of existing transmission lines by up to 30%, without rebuilding infrastructure. Using advanced robotics and proprietary photonic coatings, we unlock data-centre-scale capacity in weeks to months, not years and at a fraction of the cost and disruption of conventional approaches. Our technology goes beyond capacity. We reduce losses, prevent corrosion, cut corona noise and generate high-value operational data that supports smarter grid operation and maintenance. Our systems are already deployed globally, and we just raised a big funding round from leading energy and climate investors. AssetCool is one of the most innovation-driven companies in the UK energy sector and we’re scaling fast! If you’re ambitious, mission-driven and excited to work on real deployments that strengthen the industry that really matters, AssetCool is where you can make it happen. Role Overview As a Test & Validation Engineer, you play a critical role in ensuring the safety, reliability, and performance of our CapacityN robotic platforms. You will design and execute test plans, build test rigs, collect and analyse data, and provide clear feedback to design teams. This role requires strong hands-on skills, analytical thinking, and cross-disciplinary knowledge across mechanical, electrical, and software systems. Key Responsibilities • Develop, document, and execute test protocols for robotics and mechatronics subsystems including actuators, sensors, communication, control systems, and power components., • Design and implement test rigs and fixtures for platform stress testing and validation in lab and field., • Perform system-level reliability tests: endurance, vibration, and environmental, EMI/EMC., • Collect, process, and analyse large test dataset; prepare reports with actionable insights for design teams., • Collaborate with engineering, software development, and production engineers to close the loop between testing and product improvements., • Ensure compliance with safety standards and applicable regulations., • Support root cause analysis and troubleshooting during development and field deployment., • Maintain test equipment, calibration, and documentation, and support establishing testing standards across development. Key Skills and Experience Required • A Degree in Mechatronics, Mechanical, Electrical, Control Systems, Instrumentation Engineering, or related field., • 3+ years’ experience in test & validation, R&D, systems engineering, ideally with hands-on experience of ground and aerial robotic systems., • Strong practical experience in actuators, sensors, power electronics, embedded systems, instrumentation, and data acquisition., • Experience with test automation and data analysis tools (MATLAB, LabView, Python) or similar tools., • Familiarity with DAQ systems, load and torque sensing, IMU, and motion tracking., • Experience with CAD software (e.g., SolidWorks, Fusion 360)., • Ability to interpret engineering drawings, electrical schematics, and system block diagrams., • Excellent problem-solving, documentation, and communication skills. Desirable Skills • Experience with robotics platforms (mobile robots, UAV, industrial automation)., • Familiarity with embedded systems and debugging hardware/software integration (e.g., Arduino, Raspberry Pi, Nvidia Jetson)., • Knowledge of reliability engineering, FMEA, HALT/HASS testing., • Understating of operation and safety certification and standards (IEEE, ISO, IEC)., • Understanding of IP-rated enclosure design, vibration/thermal management, and EMI, • Programming experience in C/C++ or Python for designing test workflows. Why Join AssetCool? • Work on groundbreaking technology revolutionizing the power grid., • Fast-growing startup with significant industry traction and large-scale projects., • Collaborative, innovation-driven team with exciting career growth opportunities., • Competitive salary, and flexible work options Research shows that some candidates may hesitate to apply unless they meet every listed requirement. If this role excites you but your experience doesn’t align perfectly with every qualification, we still encourage you to apply. You might be exactly who we're looking for, either for this role or another opportunity within our team. We’re proud to be an equal opportunities employer and welcome applications from people of all backgrounds. We’re committed to building an inclusive, supportive workplace where everyone can thrive, regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. If you have a disability or any specific requirements and need adjustments at any stage of the recruitment process, just let us know and we’ll do our best to accommodate your needs. We may close this vacancy early if we receive a high volume of applications. We are not looking for agency support currently.

HCLTech is a global technology company, spread across 60 countries, delivering industry-leading capabilities centered around digital, engineering, cloud and AI, powered by a broad portfolio of technology services and products. We work with clients across all major verticals, providing industry solutions for Financial Services, Manufacturing, Life Sciences and Healthcare, Technology and Services, Telecom and Media, Retail and CPG, and Public Services. We re powered by our people a global, diverse, multi-generational talent - representing 161 nationalities whose unique spark, perspective and boundless passion drive our culture of proactive value creation and problem-solving. Our purpose is to bring together the best of technology and our people to supercharge progress for everyone, everywhere our clients, partners, their stakeholders, communities, and the planet. As a company, we are deeply focused on accelerating our ESG agenda. We are also creating technology-enabled sustainable solutions with and for our clients and partners. We embed ESG imperatives into every aspect of our business and ensure that the progress we supercharge is responsible, inclusive and beneficial to all our stakeholders in the long term. We have committed to achieving net zero by 2040. To learn more about how we can supercharge progress for you, visit Job Title- Infrastructure Engineer Location- Edinburgh, Leeds, Halifax, Manchester or Bristol Hybrid mode- 2 days week (Work from client location) Infrastructure Engineer role focused on secure web access and SASE engineering. The role is responsible for the end-to-end design, build, deployment, and lifecycle management of technologies that enable secure web access for both users and machine-based traffic. This includes SASE platforms, secure enterprise browser solutions, and controls governing human and machine to machine access. The role requires strong hands‑on engineering capability and experience with automation and code‑driven delivery. Role Overview The role is responsible for the engineering, configuration, deployment, and lifecycle management of technologies enabling secure colleague and machine web access. This includes involvement across SASE components, secure enterprise browsing solutions, and controls supporting both human and machine‑to‑machine traffic. As the organisation moves from ClickOps to DevOps, the role requires strong hands‑on engineering capability and experience with automation and code‑driven delivery. Key Responsibilities Technical Delivery & Engineering Excellence • Contribute hands‑on DevOps engineering expertise using Infrastructure as Code, Policy as Code, CI/CD, API‑driven automation, automated testing, and observability., • Build, enhance, and maintain web access protection infrastructure, including proxy services, protected corporate browsers, and web/API traffic controls., • Evolve infrastructure and security patterns for internet connectivity, B2B integrations, and browser/policy control., • Support product and platform teams with technical input across design, architecture, and roadmap evolution., • Implement policy‑as‑code and configuration‑as‑code approaches to remove reliance on manual portal‑based administration., • Support the monitoring, stability, and continual improvement of SASE services, secure enterprise browser technologies, and machine‑traffic infrastructure., • Support incident, change, and problem management activities for web access protection services., • Ensure services meet resilience, documentation, compliance, and audit requirements., • Implement and maintain security and access policies for web traffic aligned to enterprise risk frameworks., • Integrate with SIEM and analytics platforms to support threat detection and response., • Balance security controls with usability, particularly in the browser and colleague web‑access journey., • Strong hands‑on modern engineering experience, including CI/CD tooling (e.g., GitHub), Terraform, Python, infrastructure/policy/config‑as‑code., • Experience working with SASE platforms (e.g., Zscaler, Palo Alto, Blue Coat, McAfee Web Gateway/SkyHigh) and secure enterprise browsers (e.g., Chrome Enterprise, Island, Talon, Edge for Business)., • Knowledge of security controls, DLP, browser isolation, and SASE patterns., • Experience contributing to incident resolution and change processes., • Experience in regulated environments., • Relevant security certifications (e.g., CISSP, CCSP).

Inside IR35 Contract Software Engineer (React & AWS) Leading Media Organisation Digital Platform (UI & UX‑Led) Location: Leeds, United Kingdom Day Rate: Competitive Contract Length: 6 Months + Overview We are working with a leading UK media organisation to engage an experienced Contract Software Engineer to support the development of a large‑scale, user‑centric digital platform. The platform is UI and UX‑heavy, highly visible, and used by millions, sitting at the intersection of content, information, and media. This role goes beyond pure delivery. You will work in close partnership with Product and UX, playing a key role in discovery, defining technical direction, and taking clear ownership of outcomes across complex, multi‑dependency environments. Key Responsibilities Work collaboratively with Product Managers and UX Designers during discovery to translate user needs into feasible, high‑quality technical solutions. Actively participate in user research, contributing engineering insight to inform product and design decisions. Design and build modern, scalable full‑stack web experiences using React, Node, and TypeScript. Develop and support backend-for-frontend (BFF) services and APIs using AWS (Lambda, API Gateway, SNS/SQS, DynamoDB, S3). Contribute to and evolve a shared components and design system model, balancing reuse with product‑specific needs. Operate confidently in a large, multi‑team delivery environment, managing dependencies and navigating organisational complexity. Provide technical leadership, influencing stakeholders, advocating best practice, and helping teams move at pace without compromising quality. Own delivery outcomes end‑to‑end, from early discovery through to live operation and iteration. Essential Skills & Experience Strong experience as a Software Engineer working on React, Node, and TypeScript at scale. Hands‑on experience building cloud‑native solutions on AWS, including infrastructure, deployment pipelines, and event‑driven architectures. Proven experience working closely with Product and UX teams in discovery‑led delivery environments. Experience contributing to or leading user research activities from an engineering perspective. Ability to quickly assess buy vs build decisions and identify pragmatic, high‑value technical solutions. Experience working in large organisations with complex stakeholder groups and cross‑team dependencies. Clear communication style, strong collaboration skills, and confidence engaging senior, sometimes challenging, stakeholders. Demonstrable ownership mindset, taking responsibility for delivery outcomes rather than isolated technical tasks. Leadership & Ways of Working Comfortable leading by influence rather than hierarchy. Experience supporting, mentoring, or leading other engineers within a broader delivery team. Experience operating within trios or similar cross‑functional models (Product, Design, Engineering). Confident working through ambiguity and shaping solutions during discovery as well as live delivery. Nice to Have Experience working within education, learning platforms, EdTech, or product‑led environments. Understanding of education systems, learning behaviours, or accessibility considerations for younger audiences. Experience integrating into or collaborating with large‑scale technology organisations. Familiarity with CMS‑driven or headless content platforms and shared content models. Why This Role Work on a high‑impact digital platform with real public reach. Influence product direction and technical decisions during discovery, not just delivery. Engage in a contract that is genuinely Outside IR35, outcome‑focused, and delivery‑led. Join an experienced, multidisciplinary team operating at scale within a respected media organisation.

Senior Full Stack Developer Permanent, Leeds / Hybrid Who are we? Enablis is a technology delivery consultancy who partner with clients to accelerate digital roadmaps. By combining our deep knowledge and best practice experience with the client’s domain expertise, we are able to deliver technology solutions quickly, efficiently and as stress free as possible. We keep things simple and have a ruthless, uncomplicated focus on how our customers can use technology to add value to their business. That’s why we avoid tricky or ambiguous jargon in our service offerings: as far we we’re concerned, we’re always there to collaborate with clients and use our experiences to shape and affect the delivery of their technology roadmaps as positively as possible. It’s as simple as that. We’re looking for passionate, talented tech experts who want to work on projects that matter. At Enablis, you’ll have the chance to collaborate with some of the most talented minds in the industry and create real impact. If you have the skills and ambition, we’ll open the door to incredible opportunities and introduce you to a network of equally driven, like-minded professionals. Job brief We are looking for a Full Stack Developer to produce scalable and robust software solutions for our clients. You’ll be part of a cross-functional team that’s responsible for the full software development life cycle, from conception to deployment. At enablis, we’re big proponents of the T-Shape engineer profile, recognising the value of people covering a broader spectrum of skills, this works really well in the dynamic world of consulting and provides our employees with career experience hard to match anywhere else. As a Full Stack Developer, you should be comfortable around both front-end and back-end coding languages, development frameworks and third-party libraries. We’re also grounded though and recognise that’s for many, that span of capabilities will be unique to your experiences and interests. Our diversity in backgrounds is one of the things that makes us strong. We’re a consultancy, so expect close collaboration with our customers, as such we expect you to be a team player with a knack for collaboration and communication. Responsibilities • Collaborate - Work with stakeholders and product managers to ideate software solutions, • Design - From concept to build, modern technical solutions, familiar with approaches such as MACH alliance., • Code - Write effective, secure code that can scale and evolve with the demands of evolving platforms., • Robust - Write maintainable, reliable code with sensible testing strategies., • Growth - Understand your role and impact at a client, share experience and help develop those around you., • Lead - Where required lead teams, projects and products Requirements and skills • Proven experience as a Full Stack Developer or similar role, • Experience developing modern tech stacks, • Knowledge of front-end languages and libraries (e.g. React, Vue, Flutter), • Knowledge of back-end languages (e.g. Java, Python, Node, Go, C#), • Familiarity with data design, handling and security, • Excellent communication and teamwork skills, • Attention to detail, • An analytical mind We are an equal opportunities employer and welcome applications from all suitably qualified persons regardless of their race, sex, disability, religion/belief, sexual orientation, or age.

Senior Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | EU Remote | | Salary Up to £130,000K, plus early equity+benefits The Client: A leading organization in the drug discovery field is currently looking for a client facing Senior Machine Learning Engineer to drive the development of foundational models that directly impact real-world drug discovery workflows. This hands-on, high-impact role offers the opportunity to advance the application of foundational models to complex structural biology challenges. The successful candidate will work closely with the leadership team, serving as the technical authority on machine learning modeling, architecture, and experimentation in this domain. While this role does not involve people management, the candidate will be expected to provide mentorship and guidance to engineers and researchers on technical content. The ideal candidate brings deep expertise in training and deploying state-of-the-art models for protein structure prediction. Beyond technical proficiency, you must understand how these models integrate into broader drug discovery pipelines and possess the strategic mindset needed to break down complex problems into actionable, impactful ML solution Requirements for the Senior Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | EU Remote | | Salary Up to £130,000K, plus early equity+benefits • Deep Technical Expertise: Proven experience building and training contemporary models (e.g., AlphaFold, OpenFold, Boltz) at scale in a production environment, • A strong track record of applying ML to real-world protein structure prediction or drug discovery problems., • Comfortable in a fast-paced startup environment, with the ability to break down complex technical problems into impactful ML systems., • Experience in Federated Learning, privacy-preserving ML, or a portfolio of publications in top-tier journals/conferences like NeurIPS, ICML, or Nature Methods, • Work with our customers and academic partners to define data, preprocessing, selection, and benchmarking strategies for novel training tasks involving protein structures, complexes, and multimodal biological data, • Carry out case-studies associated with the above, providing scientific and technical expertise to our customers. You will be involved in the full project pipeline, from scoping through to results delivery and dissemination. Responsiblities of the Senior Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | EU Remote | | Salary Up to £130,000K, plus early equity+benefits • Advance the state-of-the-art by fine-tuning and customizing foundational architectures such as OpenFold, ESMFold, and Boltz-2 for specialized structural biology challenges., • Architect model extensions tailored for binding affinity and protein complex prediction, overseeing everything from data distillation to rigorous benchmarking., • Partner with leading academic and industry stakeholders to engineer data selection and preprocessing strategies for complex, multimodal biological datasets., • Lead comprehensive technical case studies, managing the entire lifecycle from initial project scoping to the final dissemination of results., • Develop and sustain high-scale ML pipelines that support efficient training, inference, and production-grade deployment, • Work across internal teams to ensure all model development is anchored in solving genuine drug discovery hurdles., • Drive external impact through high-quality open-source contributions and scientific publications. Remuneration: • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the Machine Learning Engineer role, ping us over your CV and we will give you a call if we think you are a good match!

Senior Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | EU Remote | | Salary Up to £130,000K, plus early equity+benefits The Client: A leading organization in the drug discovery field is currently looking for a client facing Senior Machine Learning Engineer to drive the development of foundational models that directly impact real-world drug discovery workflows. This hands-on, high-impact role offers the opportunity to advance the application of foundational models to complex structural biology challenges. The successful candidate will work closely with the leadership team, serving as the technical authority on machine learning modeling, architecture, and experimentation in this domain. While this role does not involve people management, the candidate will be expected to provide mentorship and guidance to engineers and researchers on technical content. The ideal candidate brings deep expertise in training and deploying state-of-the-art models for protein structure prediction. Beyond technical proficiency, you must understand how these models integrate into broader drug discovery pipelines and possess the strategic mindset needed to break down complex problems into actionable, impactful ML solution Requirements for the Senior Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | EU Remote | | Salary Up to £130,000K, plus early equity+benefits • Deep Technical Expertise: Proven experience building and training contemporary models (e.g., AlphaFold, OpenFold, Boltz) at scale in a production environment, • A strong track record of applying ML to real-world protein structure prediction or drug discovery problems., • Comfortable in a fast-paced startup environment, with the ability to break down complex technical problems into impactful ML systems., • Experience in Federated Learning, privacy-preserving ML, or a portfolio of publications in top-tier journals/conferences like NeurIPS, ICML, or Nature Methods, • Work with our customers and academic partners to define data, preprocessing, selection, and benchmarking strategies for novel training tasks involving protein structures, complexes, and multimodal biological data, • Carry out case-studies associated with the above, providing scientific and technical expertise to our customers. You will be involved in the full project pipeline, from scoping through to results delivery and dissemination. Responsiblities of the Senior Machine Learning Engineer, Structural Biology | Pharma/BioTech | Series A - Drug discovery B2B Platform | EU Remote | | Salary Up to £130,000K, plus early equity+benefits • Advance the state-of-the-art by fine-tuning and customizing foundational architectures such as OpenFold, ESMFold, and Boltz-2 for specialized structural biology challenges., • Architect model extensions tailored for binding affinity and protein complex prediction, overseeing everything from data distillation to rigorous benchmarking., • Partner with leading academic and industry stakeholders to engineer data selection and preprocessing strategies for complex, multimodal biological datasets., • Lead comprehensive technical case studies, managing the entire lifecycle from initial project scoping to the final dissemination of results., • Develop and sustain high-scale ML pipelines that support efficient training, inference, and production-grade deployment, • Work across internal teams to ensure all model development is anchored in solving genuine drug discovery hurdles., • Drive external impact through high-quality open-source contributions and scientific publications. Remuneration: • Fully Remote Working Culture, • Up to £160,000 Base Salary, • Attractive Stock Options, • B2B & Full time employee options, • Flexible hours + - 3 hours of CET time zone If you think you are a good match for the Machine Learning Engineer role, ping us over your CV and we will give you a call if we think you are a good match!

Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary up to £85,000, plus early equity+benefits The Client: Owen Thomas has partnered with a company that is looking for exceptional engineers that have a genuine interest in working with cutting-edge technology, in a fast-paced environment and a young start-up with big ambitions... The platform uses advanced technologies, such as federated learning and homomorphic encryption, which enable data analysis without moving the actual data. This means that organizations can leverage insights from diverse datasets while maintaining strict control over their own data privacy. The company are in a super exciting phase showing genuine impact in the drug discovery sector. They are facing ever increasing technical challenges around data privacy which requires the use of cutting edge technology. This business unlocks the potential of huge data ecosystems across industries - while alleviating security concerns across all stakeholders! Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary up to £85,000, plus early equity+benefits What will you be doing? • Partner with core engineering to revolutionize the IaC, CI/CD, and GitOps ecosystems. If it can be automated, it should be., • Take command of the customer deployment engine. You’ll be the force that turns complex platform installations into seamless, repeatable, and lightning-fast experiences., • You bring 3+ years of heavy-hitting experience and a solid academic foundation in CS, Physics, or Engineering., • Strong experience with Kubernetes, Terraform, Helm with deep expertise within AWS, • You translate complex technical "how-to" into clear, actionable English, building trust with high-level stakeholders and client teams alike., • You don’t just fix bugs; you enjoy dismantling technical barriers and building elegant solutions for real-world users. Experience needed for the Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary up to £85,000, plus early equity+benefits • 7+ years of relevant work experience, or a Bachelor’s/Master’s/PhD in Computer Science or related fields (e.g., Physics, Mathematics, Engineering) with at least 5 years of experience in relevant roles., • Proven experience in building, maintaining, and evolving secure containerized systems on Kubernetes and managing cloud infrastructure, on AWS, • Experience using Terraform., • Strong coding skills, preferably in Golang and/or Python, with proficiency in additional programming languages being a plus., • Excellent communication skills: fluent in English (both verbal and written) and capable of constructive and proactive communication., • Confident in taking ownership of problems, gathering ideas for solutions, and effectively conveying approaches to others., • Passionate about continuous learning and eager to work with cutting-edge technology in a dynamic startup environment. Renumeration for the Platform Engineer (AWS), Infrastructure, SRE | Healthtech - B2B Start-up | Fully Remote, EU | Base Salary up to £85,000, plus early equity+benefits • Salary range Up to £85,000 + Early stage equity, • Fully EU Remote working, • Contribution towards at home office set up or coworking space., • Laptop / Macbook, • Wellbeing budget, • Stock options If you are interested in working in an Engineering team of 25+ people, having a Positive Impact on the world, with some of the brightest minds across Europe to, drop over your CV and if we think you are a good match we will give you a call!

Customer Success Engineer Company: Abacus.AI Location: Remote / (US EST Timezone) Type: Full-time About Abacus.AI: Abacus.AI is an enterprise AI platform that transforms how businesses build and deploy AI systems. Our platform automates AI development through advanced generative AI technology, eliminating the need for extensive technical expertise. Our core offerings include ChatLLM Teams with access to leading AI models, DeepAgent for autonomous task execution, and customizable AI agents for chatbots, workflows, and enterprise automation. We also contribute to the AI community through LiveBench.ai benchmarking and open-source projects like Dracarys and Smaug. We make sophisticated AI and machine learning capabilities accessible to organizations regardless of size or technical resources. Role Overview: We’re looking for a Senior Customer Success Engineer (5+ years experience) to serve as the primary technical advocate and strategic partner for our enterprise customers. In this role, you will be responsible for the long-term health of the account, ensuring that our AI solutions are successfully integrated into the customer’s daily workflows and continue to deliver high-level business value. Key Responsibilities: • Lead Executive & Technical QBRs: Drive Quarterly Business Reviews to showcase ROI, review usage metrics, and align our product roadmap with the customer’s evolving business goals., • Drive Super Assistant Rollout: Act as the strategic lead for deploying our Super Assistant across customer teams, providing hands-on guidance on best practices, user enablement, and change management to ensure broad adoption., • Proactive Health & Issue Monitoring: Continuously monitor account health to identify ongoing technical friction or blockers; collaborate with our internal Data Science and Support teams to resolve issues before they impact the customer experience., • Technical Bridge & Orchestration: Serve as the high-level technical point of contact who translates customer needs into actionable tasks for our DS team, ensuring that the actual technical execution remains aligned with the customer's strategic vision., • Expansion Discovery: Partner with the Sales team to identify new use cases for our AI capabilities, helping customers expand their footprint and see deeper value from the Abacus platform. Required Qualifications: • Strategic Technical Communication: Exceptional ability to bridge the gap between technical and non-technical stakeholders; you can explain LLM performance or RAG architecture to an executive just as easily as you can discuss API integration with a developer., • Generative AI & LLM Literacy: Solid understanding of the GenAI landscape, including Hands-on experience with Prompt Engineering, RAG (Retrieval-Augmented Generation) architectures, and the nuances of deploying LLMs in a corporate environment., • Functional Machine Learning Knowledge: A strong conceptual grasp of the ML lifecycle from data prep, model training, and evaluation metrics allowing you to collaborate effectively with internal Data Science teams and guide customers through technical deployment., • Program & Rollout Management: Proven track record of managing technical software rollouts (like an AI "Super Assistant") within large organizations, focusing on user adoption, monitoring ongoing health, and steering account progress through QBRs. What We Offer: • Competitive salary and equity package, • Opportunity to work with cutting-edge AI technology, • Collaborative and innovative work environment, • Professional development and learning opportunities

As a Power Platform Engineer at Avanade, you will build complex, enterprise scale solutions using Microsoft Power Platform to solve our clients’ biggest problems. You will translate requirements into high quality, production ready applications and automations, working closely with architects, business analysts, testers and client stakeholders to deliver outcomes that matter. This is a hands on engineering role with a strong delivery focus. You will apply sound engineering practices across the full solution lifecycle including design, build, test, release and support, while ensuring robust application lifecycle management, security and data modelling. Experience with Copilot Studio is preferred; if you do not have this today, this role is a great opportunity to learn and get experience with Copilot Studio and the latest Microsoft AI technologies. Role Responsibilities • Build and enhance enterprise scale solutions using Microsoft Power Platform, including Power Apps (canvas and model driven), Power Automate, Dataverse and AI Builder., • Work with solution architects and technical leads to implement agreed designs and ensure alignment with security, governance, scalability and operational standards., • Collaborate with business analysts and client stakeholders to understand requirements and translate them into functional, user friendly solutions., • Partner with testers and quality engineers to plan and execute testing, resolve defects and ensure solutions meet functional and non functional requirements., • Design and implement Dataverse data models, including tables, relationships, business rules and security roles appropriate for enterprise solutions., • Implement security best practices across the platform, including role based access, environment controls and data protection considerations., • Build integrations using standard, premium and custom connectors, and design API based integration patterns where required., • Where appropriate, use Azure services including Azure Functions to extend Power Platform solutions and support more complex integration or processing needs., • Apply application lifecycle management practices for Power Platform, including solution packaging, environment strategy, deployment approaches and release management., • Identify opportunities to improve existing processes and solutions, proposing pragmatic enhancements focused on quality, performance and maintainability., • Stay current with Power Platform capabilities and contribute to knowledge sharing within delivery teams and wider communities of practice., • Where required, support pre sales activities through technical input, demonstrations and proof of concept development. Required Skills and Experience • Hands on experience building solutions with Microsoft Power Platform., • Microsoft Power Platform certifications are desirable., • Experience working in consulting or professional services environments., • Experience considering performance, reliability and operational support for enterprise scale solutions., • Familiarity with enterprise governance approaches and Centre of Excellence patterns for Power Platform., • Experience with Copilot Studio is preferred. If not currently held, a willingness to upskill over time is expected. Preferred Skills and Experience • Strong communication skills, with the ability to explain technical decisions and trade offs to both technical and non technical audiences., • Experience working collaboratively with architects, business analysts, testers and other engineers within multidisciplinary delivery teams., • Ability to work from requirements through to functional implementation, including configuration, build, testing and support., • Experience extending Power Platform solutions using Azure services such as Azure Functions where appropriate., • Experience integrating solutions using standard and premium connectors, and building and maintaining custom connectors where needed., • Experience implementing application lifecycle management practices for Power Platform, covering environments, solutions and deployment processes., • Experience using AI Builder to add intelligent capabilities to Power Platform solutions., • Experience working with Dataverse, including enterprise level data modelling and security roles., • Strong delivery experience with Power Apps (canvas and model driven) and Power Automate. Enjoy your career Some of the best things about working at Avanade • Opportunity to work for Microsoft’s Global Alliance Partner of the Year (14 years in a row), with exceptional development and training (minimum 80 hours per year for training and paid certifications), • Real-time access to technical and skilled resources globally, • Collaborate with some of the brightest “Microsoft minds”, • Build your expertise, solve problems, learn, and develop Find out more about some of our benefits ___. A great place to work As you bring your skills and abilities to Avanade, you’ll get distinctive experiences, limitless learning, and ambitious growth in return. As we continue to build our diverse and inclusive culture, we become even more innovative and creative, helping us better serve our clients and our communities. You’ll join a community of smart, supportive collaborators to lift, mentor, and guide you, and lean on your expertise. You get a company purpose-built for business-critical, leading-edge technology solutions, committed to improving the way humans work, interact, and live. It’s all here, so take a closer look! We work hard to provide an inclusive, diverse culture with a deep sense of belonging for all our employees. Visit our ___ page. Create a future for our people that focuses on • Expanding your thinking • Experimenting courageously • Learning and pivoting Inspire greatness in our people by • Empowering every voice • Encouraging boldness • Celebrating progress Accelerate the impact of our people by • Amazing the client • Prioritizing what matters • Acting as one Learn more To learn more about the types of projects our Data Engineering team works on check out these case studies: Interested in knowing what’s going on inside Avanade? Check out our blogs:

Pivotal Partners is exclusively partnered with a Series D ($1.1B) AI company defining the AI Software Development space. Backed by top-tier investors and founded by a deeply technical team (ex-Scale AI, Cursor, Modal, Google DeepMind, and Waymo), the company is already valued at $12B. With technical deployment and customer impact at the core of the GTM strategy, this Forward Deployed Engineer role is critical to how the product gets adopted, expanded, and defined in the real world. Location: London, England Role: Forward Deployed Engineer (FDE) As a Forward Deployed Engineer, you will own the technical success and real-world application of the platform across a number of our largest customers. This is a highly strategic, customer-facing engineering role focused on building, deploying, and iterating on solutions... not support. You’ll work directly with senior stakeholders (engineering, product, and leadership) to turn ambiguous problems into production-grade systems that influence real decisions. Why this role: • Opportunity to join and work with leading engineers from Anthropic, OpenAI, Palantir and Scale AI., • Highly technical role with direct exposure to real-world outcomes, • Work sits at the intersection of engineering, product, and strategy, • Genuinely new problem space — no established playbooks, • High ownership and autonomy from day one If you're an Software engineer/Full Stack Engineer who wants to move closer to the problem, the customer, and the decision making itself, this is worth a conversation. Responsibilities: • Own the technical relationship for a portfolio of enterprise customers, • Scope and break down ambiguous, high-impact problems into solvable components, • Design and build production-grade systems (APIs, data pipelines, integrations), • Deploy solutions into real-world workflows that directly influence decision-making, • Act as a trusted advisor to senior engineers, architects, and executives, • Translate customer use cases into actionable product and engineering insights, • Partner closely with Product and Engineering to shape roadmap and capabilities, • Help define and scale how this technology is applied across industries Requirements: • MUST HAVE A STEM degree, • Strong software engineering fundamentals (Python, TypeScript, or similar), • Experience building backend systems, data pipelines, or distributed systems, • Comfortable working with APIs, integrations, and modern infrastructure, • Ability to operate in ambiguous, fast-moving environments with minimal structure, • Strong communication skills across both technical and non-technical audiences, • Experience in customer-facing technical roles (FDE) is beneficial but not required

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

UK‑Wide Remediation Projects Looking to accelerate your career with one of the UK’s most respected remediation contractors? VertaseFLI is searching for a talented Environmental Engineer to join our technically driven, hands‑on team. If you’ve got a few solid years under your belt and want real responsibility, real variety and real progression, this is the role that will take you there. What You’ll Do You’ll play a key role across the full lifecycle of our remediation projects — from early design and investigation through to delivery, monitoring and verification. Expect a mix of office and site work, exposure to a wide range of technologies, and the chance to work closely with project managers, site teams, clients and regulators. You’ll get involved in: • Designing and delivering Phase 1 & Phase 2 site investigations, • Environmental monitoring, sampling and data interpretation, • Supporting remediation design, pricing and tender development, • Producing technical reports, deployment forms and validation documentation, • Risk assessments for human health and controlled waters, • Liaising with clients, suppliers and regulators, • Deputising for Site Managers or Project Managers when required This is a role where you’ll learn fast, contribute immediately and build a strong technical foundation for future progression. What You’ll Bring • Degree in a relevant environmental or engineering discipline, • Around 3–5 years’ experience in site investigation, monitoring or remediation, • Strong understanding of environmental regulations, • Experience with verification data, GIS and sampling techniques, • Confident communicator with excellent organisational skills, • Full UK driving licence + relevant CSCS card Why VertaseFLI? Because you’ll be joining a company that doesn’t subcontract its remediation work — meaning you get hands‑on experience with a huge range of technologies and project types. You’ll work alongside industry experts, gain exposure to major UK projects and have clear pathways to progress into senior technical, project management or specialist roles.

Contract Golang Engineer opportunity - Up to £450 p/d - Outside IR35 - Fully Remote Morson Edge are seeking a skilled Golang Engineer to join a major replatforming and migration project focused on modernising existing software platforms and infrastructure. The role involves transforming legacy systems to be cloud-ready, enabling on-demand deployment and delivery through a Docker and Kubernetes-based stack. You will work closely with DevOps and infrastructure teams, combining software engineering expertise with a strong operational mindset. This is a high-impact role with an initial 6 month duration (likely to extend to 12), after which you will support the handover and training of permanent engineers to ensure smooth knowledge transfer. Experience with C#/.Net is a plus but not essential. The successful candidate will thrive in a fast-paced environment, contributing to a large-scale migration and replatforming effort with a strong DevOps feel. Key Responsibilities • Replatform existing software and infrastructure to be cloud-ready and support on-demand deployment, • Develop and maintain Golang applications with a focus on infrastructure and deployment automation, • Collaborate with DevOps teams to build and optimise Docker and Kubernetes-based delivery pipelines, • Support migration activities and ensure alignment with cloud-native best practices, • Provide training and handover to permanent engineering teams at project completion, • Contribute to infrastructure as code and CI/CD workflows to improve deployment efficiency Skills • Strong experience in Golang development, • Solid understanding of DevOps principles and infrastructure automation, • Hands-on experience with Docker and Kubernetes container orchestration, • Experience with cloud platforms and making infrastructure cloud-ready, • Familiarity with software replatforming and migration projects, • Knowledge of CI/CD pipelines and deployment automation, • Ability to collaborate with cross-functional teams including permanent engineers, • Experience with scripting and automation tools, • Nice to have: experience with C#/.Net development, • Strong communication skills for training and knowledge transfer

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

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.

Ground Segment DevOps Engineer Contract, remote Outside IR35 The Core Challenge You will be the architect of our client's CI/CD toolchain and container-based environments. This isn't a standard cloud-ops role; you are building the Mission Support System (MSS)—the infrastructure that ensures space flight software and ground services are deployed seamlessly and monitored with zero margin for error. Key Responsibilities: • Infrastructure Orchestration: Manage and evolve our container-based stack (Docker, amongst other lesser-known tech - upskilling time available for the other stack) to support mission-critical Ground Segment services., • Pipeline Ownership: Expand our client's CI/CD workflows to automate the build, test, and deployment of live operational products., • Mission Support: Design and implement centralized logging, monitoring (Grafana), and system lifecycle orchestration for active missions - terraform also a nice to have., • Deployment Strategy: Define versioning and rollback protocols that ensure continuous availability during high-stakes orbital phases. Your Heritage • Container Expertise: Proven track record with Docker-based environments and registry management., • DevOps Mastery: Hands-on experience building robust pipelines (GitLab CI, GitHub Actions, or Jenkins)., • Linux Fundamentals: Deep understanding of Linux environments, shell scripting, and systems automation., • Mission Awareness (Bonus): Familiarity with satellite ground systems or SQL/NoSQL database administration is highly desirable. Please apply directly with your CV and up to date contact details in order for us to have a detailed discussion around the opportunity.

About Bamboo Rose At Bamboo Rose, we’re building the world’s leading collaborative product development platform for global retail. Our technology helps retailers and brands bring great products to market faster, smarter, and more sustainably. We’re a team that values curiosity, craftsmanship, and collaboration- and we’re looking for people who love to solve complex, real-world problems and make an impact across global supply chains. About the Role Bamboo Rose is expanding the engineering team for our newly integrated Plan solution. We are seeking a Full Stack Software Engineer with a strong emphasis on front-end development to improve the user experience and contribute to the evolution of our enterprise planning product. You will work as part of a collaborative R&D team focused on delivering high-quality features, and developing the client architecture using the latest UI patterns. What You'll Do: Front-End & Full Stack Development • Develop high-quality front-end features using Angular best practices using the latest versions., • Collaborate with UX and backend engineering to enhance usability, performance, and consistency across the platform., • Update ASP.NET services to develop server-side features to active UX enhancements., • Participate in the entire SDLC—from requirements through deployment and support., • Work with engineering leadership to evaluate and implement new UX patterns. Cross-Functional Collaboration & Support • Partner with Implementation, Consulting, and Support teams to resolve complex issues across the stack., • Collaborate with product & design teams along with services to transition requirements to clear solution engineering statements of work, • Provide clear and accurate documentation and technical definitions., • Provide 3rd-line support for customer projects as needed. What you bring: Essential • Degree or equivalent level qualification, • Strong experience with the Angular framework and front-end engineering best practices., • Strong knowledge of Typescript, Html 5, • Experience with RxJS, • Working knowledge of C#, .NET, and backend service integration., • Practical use of Git based Source Control., • Experience of State management libraries., • SQL experience., • Exposure to Azure, cloud services, or distributed architectures., • Interest in AI/ML and how it can enhance enterprise software., • Agile sprint methodology Why You’ll Love working here Real Impact: Solve real problems that matter Strong Engineering Culture: Work with technical leaders who value clean code, good architecture, and strong problem-solving. Challenging Problems: Tackle meaningful technical work across the stack

Job Description: iOS Engineer at everyLIFE Position Type: Permanent. Location: UK-based Remote. Head Office located in Farnborough, Hampshire. Benefits include: 25 days holiday + 3 additional days over Christmas, early finish Friday, private medical insurance, life insurance, Cycle-scheme, free non-fiction book scheme. Working Hours: Full time Following the successful launch of PASSgenius™, our cutting‑edge suite of AI, data, and automation tools, we’re entering an exciting period of rapid growth. To accelerate what comes next, we’re searching for a full‑time iOS Engineer to join our fast‑moving, feature‑rich app team. The Role • Be part of a team of highly skilled engineers to deliver polished features on consistent basis in a high pace environment. We deploy code every two weeks to thousands of users., • Directly responsible for the development and deployment processes – make sure that the features are shipped optimally, and product stays healthy once they hit production., • Design, review, write and test code. This is hands-on engineering role, and you will be directly involved in the design and development of new features, writing, reviewing and testing code., • Insist on the highest standards and create functional and engaging features that will delight our users., • Provide feedback to teammates to make your team the best version of itself. Desired Skills • Bachelor’s degree in Computer Science or related field, or equivalent experience, • 4+ years of experience with iOS mobile app development, • Good working knowledge of iOS platform, Swift, GRDB, SwiftUI, Combine, • Good communication skills and the ability to work effectively in a remote team environment, • Attention to details – any code that makes it into the product directly impacts the lives of people being cared for, • Strong computer science fundamentals in object-oriented design, algorithms and data structures, • Self-starter, analytical and creative, • Strong team player with a positive attitude, • Experience writing clean, testable, high-quality code, • Good understanding of object oriented and SOLID principles, and clean code architecture, • Experience writing apps using The Composable Architecture, • Good experience with writing unit tests, • Familiar with git and/or git-flow, Bitbucket, JIRA, Confluence, Bitrise, Bugfender Bonus • Experience in Agile methodologies such as Scrum or Kanban, • Good knowledge of test automation using XCUITest, • Good understanding of material design and offline first UX/UI, • Knowledge of Android platform, Kotlin, Room, Coroutines, Koin Our mission is to create effective tools and services that release the potential of care teams. Established in 2014, everyLIFE Technologies is a fast-growth SaaS provider primarily to the UK social care market. We exist to support care services to be the best that they can be. We design, build, release, manage and support software and mobile applications that are crucial parts of the care being given to tens of thousands of people across the UK. We must get it right, every day! Our ideal teammates are thoughtful, humble, curious, achievement-oriented professionals who can both zoom into the details and zoom out to embrace the big picture. We are customer-led and always aim for the highest standard. We believe in being transparent in all our dealings; acting fairly, openly, and honestly in everything we do. Please note that this is a UK based role, and we are only able to accept applicants with the right to live and work in the UK without the need for sponsorship. If you are on a visa and interested in applying for this role, please contact us for further information. If you have any questions, please email Due to the high volume of applicants that we receive, we cannot always guarantee that you will receive a response.

Our client is a profitable, founder-led business with a decade of operating history and long-term enterprise relationships in a high-growth marketing vertical. They are now entering their next phase: expanding a technology platform built on proprietary data, deep category expertise, and an existing commercial foundation. The platform is AI-native, subscription-based, and serves organisations investing significantly in this space. This is a zero-to-one moment for a business that already has the customers, credibility, and revenue to back it up. The Role The team builds software differently. AI-native tooling is used to go from requirement to working product in days, not months. This isn't about prompting your way to a prototype, it means owning the full lifecycle: understanding what a customer actually needs, shaping the right solution, and shipping it yourself. As a Founding Engineer, you sit at the intersection of product thinking, technical depth, and delivery ownership, a combination that used to require three separate hires. This role didn't exist two years ago. AI tooling has fundamentally changed what a single person can own end-to-end, and the product team is built entirely around that shift. What You'll Do • Own discovery to delivery: Join customer and stakeholder calls, extract the real requirement underneath the stated one, then go build it. No handoff. No ticket queue., • Build with AI-native tools: Use the best available tooling to ship working software fast. Know when to generate, when to edit, and when to reason from first principles., • Make product decisions under uncertainty: Scope features sensibly, make the right tradeoffs between speed and correctness, and know when something is good enough to ship., • Test and hold quality: Think adversarially about your own work, cover edge cases, write the test, catch the bug before the user does. What They're Looking For Your primary instinct should be product: you think in users, workflows, and outcomes first. But you need enough technical depth to know what's hard, what's easy, what's a shortcut that will cost you later and how to actually build it. No requirement to be a senior engineer; what matters is that you've built things, understand how the layers of a system fit together, and aren't intimidated by code you didn't write. Curiosity matters more than credentials. Technical familiarity expected across: • Frontend vs backend tradeoffs, • REST APIs and data models, • Databases and data modelling basics, • Caching strategies, • Deployment environments (staging, production, CI/CD), • UI component libraries, • Authentication flows, • Performance fundamentals Nice to have: • Experience shipping in a startup or early-stage environment, • Comfort with ambiguity, • Side projects you actually finished, • Opinions about what makes software feel good to use The Details • Compensation: Market-competitive salary + annual bonus scheme, • Location: London-based office; team is mostly remote with regular in-person days, • Work authorisation: Must have existing right to work in the UK or EU; visa sponsorship not available, • Team: Small team of builders shipping end-to-end

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

Software Engineer .NET (Full Stack) - Remote working – up to £55,000 We’re looking for an experienced .NET Developer to join a successful digital agency, working across a range of web, application and platform projects for enterprise clients. You’ll be comfortable working across both backend and front-end technologies, thriving in a collaborative, fast-paced environment, you’ll enjoy working closely with cross-functional teams to deliver high quality digital products. The Role You’ll be involved throughout the full development lifecycle, from initial concept and architecture through to build, deployment and ongoing… Projects vary from high-performance websites to complex digital platforms and business systems, so you’ll need to be adaptable and comfortable working across different technologies and environments. Key Responsibilities • Design, build and maintain scalable applications using C# and .NET Core, • Contribute to architecture decisions and technical design, • Work across cloud environments (Azure and/or AWS), • Collaborate with designers and front-end developers to deliver high-quality user experiences, • Support and improve existing systems, • Participate in code reviews, testing and continuous improvement, • Work within agile teams and contribute to DevOps processes What We’re Looking For • Strong experience with C# / .NET Core, • Experience working in a digital agency, • Solid understanding of front-end technologies (JavaScript/TypeScript, React, Vue or similar), • Experience building and consuming APIs, • Knowledge of cloud platforms (Azure or AWS), • Understanding of databases, • Familiarity with CI/CD, DevOps practices and Git workflows, • Strong problem-solving skills and attention to detail, • Familiarity with modern AI-assisted development tools Interview process 1st stage: 30minute culture chat via teams 2nd stage: Technical interview with a Developer No sponsorship is being offered for this role Software Engineer .NET (Full Stack) - Remote working – up to £55,000

SC Cleared DevOps Engineer – AWS, Java, React – 12 Months - £450 - £550 per day – Inside IR35 – Home based SC Cleared DevOps Engineer - AWS – Home based. Experience building and operating secure, automated, cloud‑native platforms, ideally within public‑sector, policing, justice, or other security‑sensitive environments. Comfortable working with LLM‑assisted engineering, and Claude is a strong bonus. This programme is already in delivery and requires a significant number (x40) of DevOps Engineers to accelerate build and deployment activity, with a target completion around mid-year. Skills & experience: • SC Clearance – (NPPV3 ideally), • AWS - Building and operating secure, automated, cloud‑native platforms, • DevOps – Software Engineering, • Comfortable working with LLM‑assisted engineering, and Claude is a strong bonus, • Experience working in a AWS, Postgres, React, Node environment, • Build and maintain CI/CD pipelines for automated build, test, and deployment, • Develop and manage Infrastructure as Code (IaC) using tools such as Terraform, • Deploy and manage applications using containerisation (Docker) and Kubernetes, • Contribute to software engineering activities across the platform (not pure ops), • Work within cross-functional teams delivering a modern data platform, • Support the migration from a legacy mainframe system to a cloud-native solution Security Clearance • SC Clearance – must be currently held (Home Office SC highly preferred), • NPPV Level 3 – not required upfront, but must be willing to undergo SC Cleared DevOps Engineer – AWS, Java, React – 12 Months - £450 - £550 per day – Inside IR35

Senior CI/CD Platform / Software Engineer (GitHub Actions & TypeScript) Fully Remote (UK only), Outside IR35 We are supporting a major enterprise-scale cloud transformation programme and are seeking a Senior CI/CD Platform Engineer (GitHub Actions & TypeScript) to join a high-performing engineering environment. This role sits at the centre of a large-scale migration from Microsoft Azure to Google Cloud Platform. While existing teams focus on the migration, you will take ownership of designing and building a scalable, enterprise-grade CI/CD platform. This is not a typical DevOps role. We are looking for a software engineer who specialises in CI/CD systems, someone who has gone beyond assembling pipelines and has experience building custom GitHub Actions, reusable frameworks, and internal tooling in TypeScript. You will treat CI/CD as a product, enabling hundreds of engineers to deliver software safely, consistently, and at scale. Key Responsibilities • Design and build a scalable CI/CD platform using GitHub Actions as a core technology, • Develop custom GitHub Actions in TypeScript, including packaging, versioning, and internal distribution, • Create reusable workflows, abstractions, and tooling to standardise delivery across teams, • Define and enforce best practices for build, test, release, and deployment automation, • Decouple pipelines from cloud-specific implementations to support ongoing migration and future flexibility, • Improve developer experience through self-service CI/CD capabilities and internal tooling, • Identify bottlenecks in existing pipelines and re-architect for performance, reliability, and scalability, • Embed security, compliance, and governance into pipeline design (e.g. secrets, permissions, OIDC), • Collaborate with platform, cloud, and application teams to drive adoption of the CI/CD platform, • Mentor engineers and elevate CI/CD maturity across the organisation Required Skills & Experience • Strong software engineering background with significant experience in TypeScript / Node.js, • Deep, hands-on expertise with GitHub Actions beyond basic usage, including:, • Building and maintaining custom actions in TypeScript, • Designing reusable workflows and internal CI/CD frameworks, • Managing action versioning, distribution, and lifecycle in an enterprise setting, • Proven experience designing scalable CI/CD systems, not just implementing pipelines, • Experience building internal developer tooling or platforms, • Strong understanding of modern software delivery practices (testing, release strategies, automation), • Experience working in complex, large-scale engineering environments, • Ability to operate as a technical authority, influencing architecture and engineering standards Nice to Have • Experience with Google Cloud Platform and/or Microsoft Azure, • Exposure to large-scale cloud migration or transformation programmes, • Experience with containerised environments (Docker, Kubernetes), • Familiarity with Infrastructure-as-Code (Terraform, Pulumi, etc.), • Background in internal developer platforms (IDPs) or platform engineering teams, • Experience in large, complex enterprise environments What You’ll Be Doing You’ll be building the next-generation CI/CD platform for a global enterprise, moving away from fragmented, legacy pipelines towards a standardised, extensible, and developer-friendly system. Rather than stitching together existing tools, you will engineer reusable, production-grade CI/CD components that scale across hundreds of repositories and teams. Why Apply? This is a rare opportunity to operate at the intersection of software engineering and platform design, with real ownership over how CI/CD is built and used at scale. You’ll have the chance to: • Build a CI/CD platform as a first-class engineering product, • Influence engineering practices across a large global organisation, • Work on a high-impact cloud transformation programme, • Solve complex, non-trivial problems that go far beyond standard DevOps work

Product Builder 📍 London, UK | Full-time | Product About the Company A profitable, founder-led business with a decade in its industry. The company has built long-term relationships with leading global consumer brands, delivering services at scale. It is now entering a growth phase, expanding its technology platform built on proprietary data, enterprise relationships, and deep category expertise into a subscription-based, AI-native SaaS product designed for large organisations. This is a zero-to-one moment for a business that already has the customers, credibility, and commercial foundation to succeed. The Role The product team uses AI-native tooling to go from requirement to working product in days, not months. A Product Builder owns the full lifecycle: understanding what a customer actually needs, shaping the right solution, and shipping it. The role sits at the intersection of disciplines that used to require three separate people. No handoff. No ticket queue. What You'll Do • Own discovery to delivery: Join customer and stakeholder calls, extract the real requirement underneath the stated one, then build it, • Build with AI-native tools: Use tools like Claude Code, Cursor, and equivalents to ship working software fast; know when to generate, when to edit, when to reason from first principles, • Make product decisions under uncertainty: Scope features sensibly, make the right speed/correctness tradeoffs, know when to ship and when not to, • Test and hold quality: Think adversarially about your own work; cover edge cases, write tests, catch bugs before users do What They're Looking For Your primary instinct should be product; you think in users, workflows, and outcomes first. You need enough technical depth to understand tradeoffs, know what's genuinely hard, and actually build. You don't need to be a senior engineer. You need to have built things and not be intimidated by code you didn't write. Technical familiarity required across: • Frontend vs backend tradeoffs, • REST APIs and data models, • Databases and data modelling basics, • Caching strategies, • Deployment environments (staging, production, CI/CD), • UI component libraries, • Authentication flows, • Performance fundamentals Nice to have: • Startup shipping experience, • Comfort with ambiguity, • Side projects you actually finished, • Opinions about what makes software feel good, • Experience in creator economy / social media platforms The Details • Compensation: Market-competitive salary + annual bonus scheme, • Location: London-based; team is mostly remote with regular in-person days, • Work authorisation: Must have existing right to work in the UK or EU, no visa sponsorship available, • Time off: 25 days PTO + bank holidays + 4 company days + 3 wellness days + paid sick leave, • L&D: Annual learning & development budget

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

Who we are DecisionForest is a Bronze-Tier Databricks C&SI Partner, specialising in modern and scalable Data & AI platforms. Mission As a Forward Deployed Engineer you will work directly with client teams to design, build and deploy production solutions on Databricks. You’ll help customers solve real business problems using the Databricks platform, including data engineering, Lakehouse architecture, Unity Catalog, platform governance, workflow orchestration, performance optimisation and AI/data product enablement. You will operate close to the customer. That means joining discovery sessions, understanding current-state systems, identifying implementation gaps, building technical artefacts, shipping code, documenting patterns and helping customers adopt Databricks technologies. Responsibilities • Embed with customer teams to deliver production Databricks solutions., • Build data pipelines using Databricks, PySpark, SQL, Delta Lake, and Databricks Workflows., • Design and implement Lakehouse architecture patterns across bronze, silver and gold layers., • Implement Unity Catalog structures, including catalogs, schemas, tables, volumes, external locations, permissions, lineage and governance patterns., • Support migration from legacy data platforms or fragmented warehouse environments., • Build reliable ingestion, transformation and serving layers for analytics, AI and operational use cases., • Deliver technical artefacts for customers, including notebooks, jobs, pipelines, deployment templates, reference architectures, documentation and handover materials., • Provide deployment support for Databricks in enterprise environments., • Diagnose and resolve performance, reliability, cost and data quality issues., • Work with customer stakeholders across data engineering, analytics, governance, security, architecture and leadership teams., • Translate ambiguous customer requirements into clear technical plans., • Identify repeatable implementation patterns and feed them back into DecisionForest delivery standards., • Support pre-sales and post-sales activity where deep Databricks expertise is required., • Represent DecisionForest as a specialist Databricks partner in customer environments. What you must bring • 4+ years of experience in data engineering, platform engineering, analytics engineering or technical consulting., • Demonstrable experience owning at least 2 end-to-end Databricks implementations in a production environment., • Strong production experience with PySpark and SQL., • Experience with Databricks Lakeflow, notebooks, repos, SQL Warehouses, and cluster/serverless compute patterns., • Solid understanding of distributed computing concepts (partitioning, shuffling, optimisation techniques)., • Practical experience with cloud data platforms on at least one major provider (ideally both Azure and AWS), including storage, networking and security basics., • Good knowledge of data warehousing and Lakehouse patterns., • Experience with CI/CD and modern SDLC (Git-based workflows, code reviews, deployment pipelines, infrastructure-as-code is a plus)., • Strong problem-solving skills and the ability to debug complex data issues across multiple systems (data quality, performance, reliability)., • Confident communicator, able to translate technical detail into business language for non-technical stakeholders., • Self-driven, curious and committed to continuous learning in data engineering, cloud and analytics., • Familiarity with data governance, security and compliance in regulated environments.

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

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

Haut.AI is a pioneering BeautyTech startup at the forefront of personalized skincare solutions. We combine scientific research with artificial intelligence to deliver innovative solutions that actually work. Backed by leading European VCs and founded by AI scientists, we are positioned at the intersection of two explosive growth markets: AI and beauty tech. We are looking for a Mid-Level Computer Vision/Deep Learning Engineer to join our team. In this role, you won't just be researching models in a vacuum, but own the end-to-end ML lifecycle from prototyping computer vision algorithms to pushing production-ready deep learning models that directly impact our clients and their customers. What You’ll Do: • Build & Innovate: Design, train, and deploy advanced CV/DL models for skin image analysis, tackling challenges in image classification, segmentation, regression, and generation., • Own the Pipeline: Architect and maintain robust, comprehensive training pipelines covering data preprocessing, augmentation, training loops, and validation., • Ship to Production: Optimize and format ML models (using ONNX/TF-lite) for smooth, scalable deployment., • Monitor & Iterate: Track the performance of deployed models in the wild, ensuring high reliability and addressing data drift., • Collaborate & Prototype: Build Proofs-of-Concept (PoCs) and demo applications to translate research into tangible business value, while communicating technical insights to the broader team. What You Bring: • Experience: 3+ years of industry experience shipping ML/DL models to production, with a Bachelor’s degree in Computer Science, Math, Physics, or equivalent background., • Software Engineering: Strong proficiency in Python, enabling you to write clean, production-ready code. You are comfortable with OOP, Git workflows, and containerization using Docker., • ML & Deep Learning: expertise with deep learning frameworks (PyTorch, TensorFlow) and a solid grasp of CNN, transformer and hybrid architectures., • Computer Vision Foundations: Strong working knowledge of standard CV libraries (OpenCV, scikit-image, PIL) and classical CV algorithms (edge detection, thresholding, color spaces)., • Data Analytics Fluency: Experience working with standard data manipulation libraries (NumPy, pandas, scikit-learn, SciPy)., • Communication: Advanced English proficiency to collaborate effectively in a global environment. Bonus Points (Nice to Have) • Hands-on experience with Vision Transformers (ViTs)., • Familiarity with deploying and scaling models on cloud infrastructure (Azure, AWS, or GCP)., • Data visualization skills using tools like Plotly or Gradio. Your Tech Stack: Python, PyTorch, ONNX, OpenCV, Microsoft AzureML, GCP Vertex AI and PostgreSQL. We also heavily utilize modern workflow and productivity tools including Jira, Notion, Slack, GitHub, GitHub Copilot, Codex, Gemini, and OpenAI. Why Haut.AI? • Competitive compensation based on experience and skills., • Fully remote position with flexibility across UK and EU time zones., • Paid PTO., • Be part of a pioneering company revolutionizing the BeautyTech space., • Opportunity to collaborate with a talented, forward-thinking team while making a real difference in the industry., • Make a tangible impact on product development and company growth., • Opportunity to grow your skills and expertise at the intersection of science and beauty. To Apply: Please submit your CV in English for applying. We look forward to hearing from you!

Aveni is redefining how financial institutions use AI. We build real, production-ready agentic systems that reshape how banks, advisers and financial services firms operate, replacing fragmented processes with intelligent, end-to-end workflows. We have been recognised as Fintech of the Year for two consecutive years and awarded Best Specialist Technology Service at the Professional Adviser Awards 2025. Backed by leading investors including Puma Private Equity, and commercially supported by Lloyds Banking Group and Nationwide Building Society, we previously completed one of Scotland’s largest Series A rounds. Since then, we’ve continued to grow rapidly as adoption of AI in financial services accelerates, and we’re now scaling our engineering organisation to meet that demand. Our engineering team includes experienced software engineers and PhD-level AI specialists, with strong ties to the University of Edinburgh, giving you access to exceptional expertise and opportunities for continuous learning as part of the day-to-day work. The role We're looking for a Lead Software Engineer to be the most senior technical voice in one of our product squads, working as a technical co-leader alongside the Engineering Manager. You'll own the squad's technical direction and engineering quality end to end, from architectural decision making and hands-on delivery, to mentoring engineers and shaping how we build across the organisation. This role demands genuine depth in AI. You'll be leading LLM powered feature development and setting the standard for how AI tooling amplifies the whole engineering process, combined with the full-stack and cloud-native chops to back it up. What you'll be doing • Setting technical direction for your squad. Owning architectural decisions, managing technical risk, and representing the engineering perspective at our Architecture Review Board, • Driving adoption of AI coding tools across the full SDLC, from planning and design through code review, testing, deployment and setting the bar for how the squad works, • Delivering production grade code across the full stack: Node.js or Python backends, event-driven AWS architecture, and React where the squad needs it, • Mentoring and growing engineers across AI and full-stack domains, through code reviews, design documents, and day-to-day pairing, • Collaborating with platform teams to consume shared capabilities and contribute reusable patterns back, not building one-off solutions when a platform component will do, • Ensuring everything we ship is compliant-by-design, auditable, and built to the standards expected of software in FCA regulated financial services What we're looking for • A seasoned engineer with 10+ years of experience, including meaningful time building and operating AI/ML systems in production, • Real technical leadership. You've set direction, made architectural calls, mentored others, and influenced how a team builds, not just what it ships, • Strong hands-on AI/LLM skills: prompt engineering, RAG, model evaluation and agent frameworks. You know how these work in production, not just in demos, • Deep expertise in Node.js, with solid experience in the other; comfortable switching contexts depending on what the problem needs, • Cloud-native development on AWS. Serverless, event-driven, Lambda, with an instinct for well designed, maintainable systems, • A genuine curiosity about where AI is going and the judgment to separate signal from noise when recommending what to adopt, • An instinct for building responsibly. You care about auditability, compliance, and the downstream impact of what you ship Why Aveni • You'll work at the frontier of applied AI in a domain where it actually matters, helping financial services firms serve their clients better and meet growing regulatory obligations, • AI-native engineering culture: we use AI tools seriously, across the full development process, and we're always looking to push further, • High impact from day one. As a Staff Engineer, your technical decisions will shape the product, the platform, and the engineers around you, • A talented, collaborative team building something genuinely novel, with the backing, the architecture, and the proprietary models to do it properly Benefits at Aveni What you’ll love • Remote-first working across the UK., • Work abroad policy for when you want a change of scenery., • Co-working spaces available if you want an office buzz sometimes., • 34 days holiday (including flexible bank holidays) and your birthday off., • Company-wide off-sites (yes, karaoke may happen)., • Optional Personal Development Plan., • Flexible benefits platform: you choose the benefits that matter most to you (not the company)., • Protection essentials, because we know they matter - Life Insurance, Income protection, critical illness cover, Pension (up to 5% matched employer contribution and optional increased contributions)., • Private health- and dental care for your peace of mind., • Potential share options, have a stake in what you’re building., • Enhanced family leave. Join Us in Making a Difference At Aveni, we believe that diversity drives innovation. We've built our business to ensure an inclusive workplace where everyone feels valued and empowered to contribute their best work. If you're passionate about technology and its ability to drive positive change for the future of financial services, we'd love to hear from you. Even if you don’t meet 100% of requirements, we’d like to hear from you anyway if you believe you’d fit in. Apply now to join us on our mission to transform the financial services industry through AI.

We are working with one of the largest international independent manufacturers of metallic aerospace detailed parts. Capabilities include Machining, Assembly, Inspection & Control, Integrated Logistics, Processing & Finishing, Sheet Metal & Fabrication, Speed Shop, Engineering. They are looking for a Group Technical Quality Engineer to add to the team. Group Technical Quality Engineer Permanent £50,000 per annum Monday - Thursday 07:30 – 16:00, Friday 07:30 – 12:30 Hybrid/Remote/Site Based Group Technical Quality Engineer Job Description • Act as internal focal point of contact, and support the central quality teams (group) as well as sites, in an expert role for escalated technical questions, queries and issues (within the assigned scope), • Support all sites with specialist knowledge on deployment of APQP deliverables, and support identification and deployment of APQP training to all group sites., • Work closely with manufacturing engineering to continuously improve planning and inspection processes to share, embed and flow down best practices across the group, • Support activities within the group (and across the sites) to maintain NADCAP and (customer) process approvals, including supporting site teams with NADCAP preparation audits, • Conduct internal process audits to support identification of improvement areas, • Support with the effective implementation of corrective and continuous improvement actions, • Support all ToW and NPI projects in the area of expertise, • Support the inspection team with technical queries and standardised approach. Group Technical Quality Engineer Essential Experience/Skills/Qualifications • Quality or Manufacturing Engineering Professional with extensive experience in a similar role, • Experience in deployment of APQP deliverables, • Working knowledge of international standards for quality management systems (AS9100, ISO9001), • Highly proficient in reading, understanding and applying technical documentation such as drawings, technical specifications, standards etc., • Experience in manufacturing processes for sheet metal and machined components, including surface treatment processes, • Proficient in developing and improving planning (routing) and supporting documentation., • Experience in a highly regulated industry, preferably Aerospace, • Strong knowledge of problem analysis methodologies & working experience with ERP systems. Group Technical Quality Engineer Company Benefits • Hybrid Working, • Company pension scheme, • 25 days annual leave + 8 statutory holidays, Christmas shutdown, • BUPA Healthcare, • Death in Service benefit If you feel you’re a good fit for this position, please click ‘apply’

ABOUT US ___, part of Capgemini, tackles the hardest work in data for the world’s largest organizations. We combine intelligent software with deep data expertise to help the Fortune2000 tackle complex data challenges and drive measurable business outcomes with business-ready data. Syniti’s Data First strategy transforms data from an afterthought into a strategic asset—unlocking insights, reducing risk, and fueling growth. With over 5,000 successful projects, we support the full data lifecycle through a unified platform for migration, quality, replication, matching, master data management, analytics, governance, and strategy. Operating globally across industries, Syniti’s award-winning software, expert consultants give enterprises a unique edge in managing and maximizing their data. Syniti’s cloud-native platform sets new standards in enterprise data management, combining powerful SaaS solutions with deep domain expertise. Designed for agility and scale, our technology helps customers accelerate digital transformation, drive innovation, and make confident decisions with trusted data. Every product enhancement is built to solve real business challenges—empowering organizations to unlock value from their data faster and more effectively. THE ROLE The Principal SRE – Azure Specialist will drive the design and implementation of automation, observability, and operational excellence within Syniti’s Microsoft Azure-hosted runtime environments. This role will focus on architecting and deploying globally scalable, regionally compliant (Cyber Essentials+, SecNumCloud), zero trust architectures. This engineer will lead the technical project to port Syniti’s SaaS architecture and services from AWS to Azure, ensuring platform consistency, operational parity, and regulatory alignment. They will serve as a cross-functional technical leader, developing resilient IaC frameworks, secure deployment models, and integrating Azure-native services with Kubernetes (AKS) and Syniti’s platform stack. WHAT YOU WILL DO • Design and maintain Azure-hosted environments supporting the Syniti SaaS platform across multiple global regions., • Build reusable IaC modules in Terraform for network, compute, and managed PaaS services., • Integrate Azure-native logging, security, and cost optimization with observability pipelines., • Lead incident resolution and proactive failure domain analysis within Azure-hosted regions., • Develop secure service-to-service communication standards leveraging Azure AD workload identity and pod identities., • Collaborate with Compliance and Security to meet UK, EU, and French regional regulatory requirements., • Drive self-healing systems using automation to reduce toil and human intervention., • Support cloud region expansion and infrastructure builds via GitOps and pipeline automation. WHAT IT TAKES • Self-starter with deep understanding of hybrid cloud patterns and Azure ecosystems., • Ability to thrive in a high-stakes, distributed operations environment with mission-critical SaaS systems., • Strong communication and cross-regional collaboration capabilities., • Deep technical expertise across Azure infrastructure and platform services., • Comfort working with engineers across DevOps, Security, and Product teams to deliver shared outcomes., • 15+ years of experience in infrastructure, cloud, or SRE roles., • 5+ years designing or operating in Azure environments including AKS, Storage, VNets, Private Link, Azure Monitor., • 3+ years proficiency with GitOps and declarative infrastructure patterns using tools like Terraform, Bicep, or Pulumi., • 3+ years implementing or maintaining CI/CD pipelines., • 2+ years of Software Development experience, • Advanced scripting skills in Bash, Python, or Go., • Strong understanding of managed identity, Azure AD, and Kubernetes identity integrations., • Think Big - Be courageous and bold. Aspire to greatness. Relentlessly pursue market innovation. Set the standard by which others follow. Create solutions that have a meaningful impact. Solve the challenges our customers don’t know they have., • Be Curious - Be a lifelong learner. Seek out new ideas to serve customers. Understand our competition and the world. Be permanently dissatisfied with the status quo. Challenge preconceptions. Focus on the future rather than yesterday., • Take Action - Be the first. Don’t wait. Take accountability. Inspire others by doing. Fail fast and learn from mistakes. Make a difference every day., • Stronger Together - Respect, trust and look out for each other. Celebrate diverse perspectives. Listen. Build connections and belonging. Act with integrity. Give back. One Syniti family. WHAT WE OFFER • Trust that you are proficient at what you do. At Syniti, you will find a supportive environment and access to learning tools, but micromanagement is not our thing., • Growth. We are growing rapidly and steadily solving the biggest challenges enterprise companies are faced with today. There was never a better time to join and grow with us. Most importantly, you will have the chance to shape our journey and share in our success story., • Support. We all rely on each other and enable each other to be successful. You won’t stand alone., • Curiosity and genuine interest in you. We all have our different stories, all equally fascinating, with each depicting a different journey, and we want to hear them all., • Recognition. We are the sum of individual achievements, and we always take the time to celebrate them., • An open organisation. Hierarchies are not our thing, and access is something we make sure of across the board. We are a family where everyone is just as important, everyone’s work is seen, and ideas are valued. OUR COMMITMENT TO INCLUSION At Syniti, we’re committed to creating a respectful, inclusive, and fair workplace where everyone belongs and thrives. We believe that diverse perspectives make us stronger — and we value the unique backgrounds, experiences, and voices each person brings to our team. We welcome applicants based on their skills and potential, and we’re dedicated to ensuring equal opportunities for all, regardless of personal background. If you need accommodations during the hiring process, please let us know — we’re here to support you.

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

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

Salesforce Engineer Remote - need to be based in the UK or Ireland up to £50k + 4% bonus No visa sponsorship offered The Role: We're looking for a Salesforce Engineer who goes well beyond clicks and configuration. You'll be embedded in a small Enterprise Systems team, developing across Sales, Service and Community Cloud - writing Apex, building Lightning components, designing flows, and owning work from first requirement to live release. What You'll Be Doing: • Build and maintain robust Salesforce features - Apex, triggers, flows, Lightning pages and custom objects, • Take ownership across the full delivery cycle, from scoping and design through to testing and deployment, • Work closely with internal teams and external partners to understand problems and ship solutions that actually land, • Use AI development tools intelligently - speeding up the work without skipping the critical thinking, • Keep quality high across every stage, with an eye on real-world, user-facing behaviour, • Contribute to planning, estimates and release activities as a trusted member of a small, high-ownership team What We're Looking For: • Solid Salesforce development experience (3 - 5 years), with strong Apex and Lightning skills, • Familiarity with Salesforce APIs - REST, SOAP, Bulk and Metadata, • Comfort with modern tooling: SFDX, Git, Salesforce CLI and CI/CD pipelines, • Experience with or curiosity about AI-assisted development tools, • A Salesforce Developer certification is a plus, as is Agile/Scrum experience, • Someone who works well independently, communicates clearly, and takes pride in what they ship ADVERT DISCLAIMER 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

Lead Software Engineer - £70k Location: Leeds City Centre (Hybrid) We are supporting a growing technology organisation delivering large-scale digital solutions for enterprise clients across multiple industries. They are seeking a Lead Software Engineer to take ownership of the technical delivery of complex software projects and guide development teams building secure, scalable cloud-based systems. The Role Working closely with engineers, testers and delivery teams, you will lead the development of modern applications from concept through to deployment. Responsibilities include: • Leading the technical delivery of software projects, • Providing technical leadership within development teams, • Designing architecture for new and evolving systems, • Managing technical risks and ensuring delivery quality, • Collaborating with stakeholders to define requirements and acceptance criteria, • C#, • JavaScript or TypeScript, • Cloud development (Azure preferred), • Agile development environments Desirable:, • Angular, React or Vue, • SQL Benefits, • 25 days holiday plus bank holidays, • Private healthcare, • Pension m...

Job Title: Senior Software Engineer Location: Leeds - Hybrid / Flexible Salary: £60,000 - £70,000 + Benefits Package Fruition IT are working with a well-established tech-first business who are embarking on a complete technical transformation. This client is looking to bring on an experienced Senior Software Engineer to work on a bespoke software platform as part of the business growth. The Senior Software Engineer you will be responsible for developing a SaaS product, enhancing features and the developing API's / Microservices. You will be a senior member of the team and leading on technical direction and supporting other more junior members of the team. What will I be doing? • Developing backend software in PHP into a high load environment, • Develop API's / Microservices, • Turn concepts and requirements into a bespoke software platform., • Work closely with the agile teams to meet software deliverables., • Support continuous integration to enhance deployment., • Performing code reviews, • Working in an AWS environment Key requirements: • Minimum of 4 years as a Backend Engineer., • PHP development experience., • Experience of PHP Frameworks Laravel / Symfony, • Experience of fullstack Javascript, Typescript, Node, and React., • Cloud exposure, ideally i...

Job Title: Cloud/Devops Engineer Location: UK Experience: 2–5 years Education: Bachelors in Science (IT/Computer Science/Engineer) Employment Type: Full-Time UK based candidates only. DevOps Core Skills and Requirements 1. Basic Linux Knowledge • Comfortable working in a Linux terminal (CLI) environment., • Able to perform basic file operations (create, copy, move, delete files/folders)., • Understand and manage file and directory permissions, ownership, and basic user management., • Use of common Linux utilities like grep, top, df, ps, and chmod. 2. Basic Networking Fundamentals • Understanding of IP addressing, subnetting, and what private/public IPs mean., • Knowledge of DNS (Domain Name System) and how name resolution works., • Familiarity with HTTP/HTTPS protocols, what ports are, and what firewalls do at a high level. 3. Scripting Basics • Ability to read and write basic shell scripts (Bash) to automate repetitive tasks., • Some hands-on experience or learning in Python for simple scripting or tool use. 4. Git Version Control • Comfortable using Git for source code management., • Understand how to clone repositories, commit changes, push and pull code, and create branches., • Familiar with GitHub 5. CI/CD Concepts • Basic understanding of what Continuous Integration (CI) and Continuous Deployment (CD) are., • Awareness of tools like Jenkins, GitHub Actions, or Azure DevOps, even if not deeply experienced., • Understand how code goes from development to production in an automated way. 6. Container Awareness • Have heard of Docker and understand the basic purpose of containers (e.g., "run applications in isolated environments")., • Understand the difference between containers and virtual machines at a high level., • Basic idea of what Docker images and containers are. 7. Cloud Computing Fundamentals • Awareness of cloud platforms like AWS and Azure, • Understand concepts like virtual machines, storage, and networking in the cloud., • Know why organizations use the cloud (scalability, flexibility, cost-efficiency). Nice to Have (Bonus Skills) These are not mandatory, but having some exposure will be a plus: • Infrastructure as Code (IaC): Basic idea of tools like Terraform – used to define cloud infrastructure using code., • Monitoring and Logging: Awareness of tools like Prometheus (for monitoring) and Grafana (for dashboards)., • Basic YAML knowledge: Since tools like Kubernetes and GitHub Actions use YAML, familiarity helps. Soft Skills • Willingness to learn new tools and concepts., • Good problem-solving attitude., • Ability to follow documentation and troubleshoot issues., • Comfortable working in a team and asking questions when stuck.

Digital Design Engineer - Cryptography 📍 London 🏠 Remote position , with 1 day per month in the office 📄 Permanent 💷 £85,000 depending on relevant experience 5V Tech is supporting a cutting-edge silicon security company delivering trusted solutions for modern SoCs, chiplets, and connected devices. They are looking for a Digital Design Engineer with experience in Cryptography to join their project and start contributing from day 1. They combine low-footprint security IP with lifecycle software to ensure identity, integrity, and trust are anchored directly in silicon and maintained across manufacturing, deployment, and operation. This is a hands-on role for someone who has implemented cryptography at hardware level, not just worked on theory. The project: • Designing and implementing secure digital architectures for ASIC/FPGA, • Building and optimising hardware modules for cryptographic algorithms (AES, SHA, TRNG), • Working on Root of Trust systems and secure hardware components, • Applying countermeasures against side-channel attacks, • Contributing across RTL design, verification, and timing analysis Requirements: • Extensive experience in digital design, • Strong background in hardware-based cryptography implementation, • Excellent Python skills, • Solid Verilog or VHDL skills, • Experience working on ASIC or FPGA targets 5V Tech are acting as an Agency for the purposes of this contract. We offer a reward scheme if you can recommend someone for this contract, up to £250 for you and an additional £250 to a charity of your choice, 5V Tech are recognised talent solutions experts within IoT and Deep Tech working across Europe, the UK and North America.

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

Senior Full-Stack Engineer Introduction Join a specialist platform operating at the heart of telecoms, compliance, and secure business messaging. This is a senior, hands-on role where you’ll take real ownership of a product that underpins trust, validation, and risk decisioning at scale. Role Overview: • Location: Remote (UK-based), • Package: Competitive salary + benefits, • Industry: Telecoms / SaaS / Compliance Technology What You’ll Be Doing: • Owning the platform end-to-end, from architecture through to delivery, • Designing and building scalable backend services and APIs, • Enhancing and maintaining modern frontend applications, • Defining data models and implementing decisioning logic, • Improving system performance, reliability, and observability, • Driving automation across CI/CD, testing, and deployment workflows, • Collaborating with leadership to shape technical direction and roadmap, • Ensuring systems meet high standards for security, auditability, and compliance Main Skills Needed: • Strong background in building and running production-grade systems, • Solid backend engineering expertise and API design experience, • Good understanding of relational databases and data modelling, • Experience working in regulated or audit-heavy environments, • Full stack capability across frontend, backend, and database layers, • Knowledge of secure integrations, authentication, and access control, • Familiarity with workflow-driven systems and decisioning logic, • Ability to work across multiple technologies (e.g. Elixir, Node.js frameworks, React-based frontends, PostgreSQL, AWS), • Experience or interest in AI-assisted development and code validation What’s in It for You: • Genuine ownership of a critical, high-impact platform, • Opportunity to influence architecture and technical direction, • Work on products supporting telecom operators and global partners, • Exposure to a unique blend of telecoms, cloud, and applied AI, • Small, agile team with fast decision-making and visible impact, • Remote-first working with flexibility and autonomy, • A culture built on clarity, accountability, and long-term thinking If you’re nodding along, let’s take the next step. We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. By applying you are confirming you are happy to be added to the Addition Solutions mailing list regarding future suitable positions. You can opt out of this at any time simply by contacting one of our consultants.

Important note: This role is for US hours. 9-5pm PT (5pm-1am UK) FlatPlan is the leading Apple News technology and strategy provider, working with 230+ consumer publishers including The Atlantic, The Athletic, Vox Media and the Premier League. We're a preferred provider to Apple, helping the world's biggest publishers reach hundreds of millions of readers through Apple News and beyond. We're profitable, growing, and scaling sanely: a sharp team doing meaningful work at pace. The Role We're hiring a Full Stack Engineer to join our engineering team, working US hours to give us coverage across our customer base. You'll ship features across our platform: integrations with major publishers, our customer dashboard, content parsing pipelines, and proofs of concept that push what Apple News can do. On any given day you might be building a liveblog integration for a global sports brand, debugging a delivery issue during a breaking news story, or prototyping something new with a feature Apple has just released to us. We expect you to be fluent with AI development tools (Claude Code, Cursor, Copilot, or equivalent) and to use them daily, for writing code, reviewing PRs, triaging bugs and finding ways to ship faster. What You'll Own • Feature delivery across our Node.js backend, React dashboard, and parsing layer, • Customer-facing integrations for some of the world's biggest publishers, • Proofs of concept for new platforms and Apple News capabilities, • Clean, well-documented code with polished handovers, • Bringing AI-assisted approaches into how we build, review and ship What We're Looking For Must-haves: • 4+ years commercial experience as a developer, • Strong Node.js and React, with deep modern JavaScript fundamentals, • Daily, practical use of AI coding tools in your workflow, • Solid grasp of HTML5, modern CSS, and DOM manipulation, • AWS experience: deployment, configuration, sensible operational instincts, • Comfortable in git workflows and agile teams, • US hours availability (9am–5pm PT, equivalent to 5pm–1am UK) Nice-to-haves: • Publishing or media background, • Experience with content parsing (Cheerio or similar), • MongoDB, • Exposure to Apple News Format (we'll train you regardless) Who We Are FlatPlan is a small, lean team with backgrounds at Stripe, New York Times Company and Apple. We're fully remote but intentional about connection: randomised social 1:1s, Friday socials, a virtual office and optional UK meet-ups twice a year. We share knowledge openly and regularly, and genuinely care about each other. We're profitable, founded in 2019, and backed by TinySeed. Our relationship with Apple runs deep: we're their preferred provider for Apple News, and following a period of assessment, a direct supplier to Apple. We want this team to reflect the breadth of the publishers and audiences we serve. We strongly encourage applicants from underrepresented backgrounds to apply. All qualified candidates will be considered regardless of race, gender, identity, orientation, disability or background. No agencies. Any emails from agencies will be marked as spam.

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