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About the Company Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis employs over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. With a comprehensive solution portfolio across four service lines—Consulting, Solutions, Talents, and Academy—Akkodis supports clients from concept through to full-scale deployment and optimisation. Our diverse offerings help organisations rethink product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you’ll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology. About the Role The FPGA Engineer will contribute to the development, recovery, and certification support of FPGA-based designs for aerospace platforms, with a strong focus on legacy systems and board bring-up activities. The scope includes reverse engineering existing FPGA implementations, developing firmware from hardware requirements, and supporting integration of FPGA designs onto new or existing boards. Responsibilities • Lead FPGA development for legacy aerospace designs, including reverse engineering, and board bring-up activities., • Develop firmware requirements from hardware requirements., • Work closely with hardware teams, supporting early-phase board design and integration., • Ensure designs and deliverables comply with DO-254 aligned processes., • Support generation of design/certification documentation (PHAC), verification strategy, and accreditation discussions (SOI) for low-complexity designs. Qualifications • Bachelor’s degree in Electronic Engineering, Electrical Engineering, Computer Engineering, or a related discipline. Required Skills • Strong FPGA experience using VHDL, including Xilinx or Microchip devices., • Proven experience working from limited or legacy design information., • Experience working in regulated aerospace or defence environments (DAL-D)., • Awareness of DO-254 or similar hardware certification standards is an advantage.

Sports Senior Software Platform Engineer (Multiple roles, various seniority) | Sports Data We're also looking for PhD Sport Researchers, Quantitative Sports Modellers & Sports ML Experts We’re helping several sports data leaders, specialised in turning complex sporting datasets into actionable insights that drive smarter, evidence-based decision-making. Each team combines technical expertise with a genuine passion for sport, ensuring that the insights they deliver are both rigorous and practical. Build high performance trading and analytics platforms for the future of sports! Basketball, F1, Tennis, Horse Racing, Football (Soccer) and so much more... Essential Skills (Across the court/ track/ ground/ pitch): • Strong programming exposure with Go/ Golang or similar (such as Rust, Java, Kotlin, Python, C#, C++ etc), • Understanding of AWS to build pipelines., • Understanding of high-performance machine critical systems; ideally a sports trading platform or similar (financial trading/ banking/ air traffic platforms etc), • Strong problem-solving mindset with an analytical, systems-focused approach Bonus skills (100-point game, hat-trick, podium finish, Grand Slam): • Proven success with sports data/ the sports trading domain, • Genuine passion for sports and a curiosity-driven approach to understanding sports data Day-to-Day Duties (Throughout the venue): • Design, develop and analyse multiple high-performance sports trading and analytics platforms, whilst enabling global sports data to connect to it simultaneously, • Work with wider teams to add features, improve performance and increase reliability, • Contribute to CI/CD, security and long-term technical direction, • Innovate internal research projects exploring new metrics, analytical methods and applications of sport data Benefits (Beyond the match/ race/ game/ track): • An impact from day one, • Shape the future of sports technology, • Direct involvement with sport and the chance to apply tech to the real-world sporting calendar, • Creative freedom to experiment and innovate, • Supportive, collaborative culture that encourages learning and growth, • A vibrant team culture with a shared passion for sports, • Access to the latest tools and technologies, • Collaborative, flexible, remote first & hybrid working models, • Industry leading packages (competitive salary & bonus), plus an endless list of benefits.

Senior Analytics Engineer | SQL, Python, BigQuery | Remote, up to £110k A growing data-driven technology company is looking for a Senior Analytics Engineer to play a key role in building and maintaining a high-quality data platform that powers advanced analytics and AI-driven systems. This is a highly investigative role suited to someone who enjoys working with complex datasets, identifying anomalies, and improving data structures so that both humans and machines can rely on the information they consume. You’ll join a team modernising their data platform on Google Cloud, working with technologies such as BigQuery, Dataflow, SQL, and Python to transform messy, real-world datasets into well-structured, machine-readable data. The Role You’ll act as the bridge between data analysis and engineering, proactively identifying data quality issues, investigating root causes, and implementing technical solutions that improve reliability and transparency across the platform. Alongside solving complex data problems, you’ll help design and evolve the underlying data models so that datasets are structured for automated analysis and AI-driven systems. Key Responsibilities • Investigate and resolve data anomalies before they impact downstream systems or users, • Perform deep-dive analysis into complex datasets to identify root causes of inconsistencies, • Build and maintain SQL-based transformations and Python scripts to improve data quality, • Design and evolve data models that enable scalable analytics and AI-driven use cases, • Strong SQL expertise and experience working with complex analytical queries, • Experience using Python for data processing, transformation, or automation, • Background working with modern data platforms (e.g. BigQuery, Snowflake, Redshift or similar), • Experience modelling structured datasets within a data warehouse environment, • Strong analytical mindset with a natural curiosity for investigating data issues, • Ability to communicate clearly with both technical teams and senior stakeholders Location: Remote Salary: £90 - 110k Senior Analytics Engineer | SQL, Python, BigQuery | Remote, up to £110k

Job title: FPGA/Firmware Engineer Location: Available within Somerset, Manchester or London on a hybrid basis. Scope The FPGA Engineer will contribute to the development, recovery, and certification support of FPGA-based designs for aerospace platforms, with a strong focus on legacy systems and board bring-up activities. The scope includes reverse engineering existing FPGA implementations, developing firmware from hardware requirements, and supporting integration of FPGA designs onto new or existing boards. About the role As an FPGA Engineer, you will work on the development and support of FPGA designs for legacy and new aerospace hardware. This includes reverse engineering existing designs where documentation may be limited, defining firmware requirements from hardware inputs, and implementing solutions using VHDL on Xilinx or Microchip devices. Responsibilities • Lead FPGA development for legacy aerospace designs, including reverse engineering, and board bring‑up activities., • Develop firmware requirements from hardware requirements., • Work closely with hardware teams, supporting early‑phase board design and integration., • Ensure designs and deliverables comply with DO‑254 aligned processes., • Support generation of design/certification documentation (PHAC), verification strategy, and accreditation discussions (SOI) for low‑complexity designs. Required experience • Strong FPGA experience using VHDL, including Xilinx or Microchip devices., • Proven experience working from limited or legacy design information., • Experience working in regulated aerospace or defence environments (DAL‑D)., • Awareness of DO-254 or similar hardware certification standards is an advantage. About us Akkodis is a global leader in engineering, technology, and R&D, harnessing the power of connected data to drive digital transformation and innovation for a smarter, more sustainable future. As part of the Adecco Group, Akkodis employs over 50,000 engineers and digital specialists across 30 countries in North America, EMEA, and APAC. Our teams bring extensive cross-sector knowledge in critical technology areas such as mobility, software services, robotics, simulations, cybersecurity, AI, and data analytics, enabling clients to tackle complex challenges in today’s rapidly evolving markets. With a comprehensive solution portfolio across four service lines—Consulting, Solutions, Talents, and Academy—Akkodis supports clients from concept through to full-scale deployment and optimisation. Our diverse offerings help organisations rethink product development, accelerate productivity, reduce time-to-market, and prepare for the future. At Akkodis, you’ll join a dynamic environment that values continuous learning and global collaboration, where you can make a meaningful impact through innovative projects that shape the future of technology.

Job title: Electronic Design Engineer Location: Reading/Glasgow sites available within hybrid working arrangements. Mission Akkodis, is a global leader in the engineering and R&D market that is leveraging the power of connected data to accelerate innovation and digital transformation. With a shared passion for technology and talent, 50,000 engineers and digital experts deliver deep cross-sector expertise in 30 countries across North America, EMEA and APAC. Akkodis offers broad industry experience, and strong know-how in key technology sectors such as mobility, software & technology services, robotics, testing, simulations, data security, AI & data analytics. The combined IT and engineering expertise brings a unique end-to-end solution offering, with four service lines – Consulting, Solutions, Talents and Academy – to support clients in rethinking their product development and business processes, improve productivity, minimize time to market and shape a smarter and more sustainable tomorrow. Akkodis is part of the Adecco Group and is a commercial brand under which both AKKA and Modis entities operate. Scope The Electronic Engineer develops integrated hardware solutions, both utilising COTS components and designing bespoke systems, through design, development, verification, and validation. In this role you will produce electrical interconnect designs, cable schedules, ICDs, wiring schedules, LV distributions, earth & bonding strategies, assess the impact of EMI / EMC, RoHS, REACH and LV Directive on the electrical designs, etc. Responsibilities • Satisfy the HW requirement set through design, development, and test activities., • Implement the hardware architecture in physical and electrical form, fit and function., • Support Manufacturing and Procurement during the build phase, i.e. respond to Problem Reports and implement Engineering Change Requests., • Define the Design Proving / Hardware Test Specifications and use these during qualification., • Define the EMC and Environmental Test Specifications and use these during qualification., • Design and develop any special test equipment to facilitate the above. Skills • General Electronic and Electrical Engineering (degree level)., • COTS AC and DC LV power supplies., • Designing with PCI, RS485/232, Hotlink and Ethernet interfaces., • Designing cables and harness assemblies, utilising military style connectors and backshells, such as MIL-DTL-38999., • An understanding of cable screening methods and military style cable construction methodologies., • Designing to meet EMC and environmental standards / requirements. Experience • Strong relevant experience of the Skills listed above or associated experience that can be applied to electronic, electrical and electro-mechanical design in a regulated industry., • Design and specification of COTS and bespoke sub-assemblies and equipment suitable for 19” racks / cabinets., • Interconnection Design (i.e. wiring harnesses, copper or fibre optical network interconnections, connector types, power distribution and data comms, spatial constraints, environmental considerations)., • Full engineering lifecycle experience (Capture, Design, Implementation, Test)., • Working with requirements in a structured and evidential manner., • Production of Design / Test Specifications and Test Reports.

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

Senior Data Platform Engineer £90,000-£105,000 Remote (Quarterly meets in London) This is a standout opportunity to work on high-scale data challenges, designing the next generation of a cutting-edge analytics and AI platform. You will join a small, authentic, highly collaborative engineering team where your ideas have real impact and where ownership is encouraged from day one. THE COMPANY This organisation operates in the digital analytics and advertising technology space, helping clients understand online behaviours and turn data into actionable insight. They build and maintain a modern data platform and the applications that sit on top of it, used by clients to explore trends and drive smarter advertising decisions. THE ROLE As Senior Data Platform Engineer, you will help shape a distributed data and compute platform designed for large-scale ingestion, transformation and machine learning workloads. Specifically, you can expect to be involved in the following: • Designing and optimising of distributed systems for high-throughput data processing, • Build services and tools in Python or Go, with the opportunity to cross-train in the other., • Work across data pipelines, data warehouses and processing frameworks to support analytics and AI products, contributing to new applications and evolving existing client-facing tools., • Collaborate with data science and engineering teams to enable new features and products. The successful Senior Data Platform Engineer will have the following skills and experience: • Strong commercial experience in Python or Go, and willingness to learn the other., • Expertise in distributed systems or large-scale data processing., • Strong knowledge of SQL and data warehouse technologies., • Experience working with cloud environments such as AWS or GCP., • Exposure to Kubernetes, BigQuery or GPU-based processing is beneficial. The successful Senior Data Platform Engineer will receive the following: Please register your interest by sending your resume to Majid Latif via the Apply link on this page.

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.

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

Artificial Intelligence Engineer / AI Consultant Location: United Kingdom (Remote / Hybrid) Employment Type: Full-Time / Contract Experience Required: 2–5 Years Job Overview We are seeking a talented Artificial Intelligence Engineer to join our UK-based technology team. The ideal candidate will have hands-on experience in machine learning, data modeling, and AI-driven applications. You will work on building intelligent systems that improve automation, decision-making, and business insights. Key Responsibilities • Design, develop, and deploy AI and Machine Learning models., • Work with large datasets to build predictive and analytical models., • Develop NLP, deep learning, or computer vision solutions based on project needs., • Collaborate with data engineers and software developers to integrate AI models into applications., • Optimize and monitor model performance in production environments., • Stay updated with the latest developments in AI and machine learning technologies. Required Skills • 2–5 years of experience in Artificial Intelligence / Machine Learning., • Strong programming experience in Python., • Experience with TensorFlow, PyTorch, or Scikit-learn., • Knowledge of data processing tools such as Pandas, NumPy., • Experience with NLP, Computer Vision, or Predictive Analytics., • Understanding of cloud platforms like AWS, Azure, or Google Cloud. Preferred Qualifications • Degree in Computer Science, Data Science, or Artificial Intelligence., • Experience with LLMs, Generative AI, or Chatbots., • Knowledge of MLOps and model deployment. Work Setup • Remote / Hybrid role in the United Kingdom, • Opportunity to work on cutting-edge AI projects with global teams.

Senior Data Engineer – Remote UK or Europe Are you a Senior Data Engineer who wants to join a scaling SaaS startup that is just about to close its Series A? A hospitality SaaS company are shaking up the industry, building a modern platform designed around real data. 📍 Remote in UK or Europe. You will need to be +/- 2 hours UTC 💷 £80,000 - £90,000 + Equity 🤝 Interview Process 3 stages – Interview with Founder, Interview with team members, Final Technical Interview Tech Stack: Angular, TypeScript, Liveview, Tailwind, Elixir, Node, Nest, Postgres, GraphQL, Git, Kubernetes, Websockets, AWS Today the platform already processes a large volume of transactional information and has a strong data foundation in place. • ~500GB of structured transaction data, • 100M+ transactions across multiple restaurant types, • A data platform ready to scale The next step is turning this into a high-performance analytics and data infrastructure that powers benchmarking, product insights and machine learning. That is where you come in. We are looking for a Senior Data Engineer who can design and build the analytics architecture that sits alongside the transactional platform and unlocks the value of this data. The Role: You will design and build the analytics infrastructure that powers data across the business. This includes building scalable pipelines, selecting and implementing the right warehouse architecture and ensuring analytical queries can run in seconds across hundreds of millions of records. You will work closely with engineers, data scientists and ML engineers to ensure the platform supports both product intelligence and machine learning use cases. This is a hands-on role where you will own the architecture, pipelines and performance of the analytics stack. What You Will Be Doing • Design and build a scalable analytics architecture capable of handling hundreds of millions of transactions, • Build and optimise an OLAP analytics stack separate from the transactional database, • Design and maintain ETL / ELT pipelines moving data from transactional systems into the analytics warehouse, • Ensure data integrity across 100M+ transaction records, • Optimise analytical queries to deliver sub-second or few-second performance, • Implement monitoring, alerting and testing across data pipelines, • Support data modelling and suggest improvements to existing database structures, • Manage supporting infrastructure across the data platform, • Work closely with ML engineers to support model training and inference, • Collaborate with technical and non-technical stakeholders to turn business questions into efficient data models, • Contribute to the long term data architecture strategy, • Help establish data governance, consistency and quality standards across the platform Experience We Are Looking For • Strong experience as a Senior Data Engineer, • Advanced SQL skills and strong query optimisation experience, • Experience building large scale analytics systems, • Hands-on experience with OLAP databases such as ClickHouse, Snowflake or Amazon Redshift, • Experience designing and implementing ETL pipelines from scratch, • Experience implementing caching strategies using Redis or AWS ElastiCache, • Strong knowledge of AWS infrastructure, • Ability to explain complex technical ideas to non-technical stakeholders Nice To Have • Experience with real time analytics systems, • Experience building benchmarking or BI platforms, • Experience working with very large datasets, • Familiarity with orchestration tools such as Airflow, Kafka or AWS Glue, • Knowledge of partitioning and sorting strategies for large datasets, • Experience in startup or high growth environments, • Understanding of data science concepts such as clustering or recommendation 90 Day Outcomes Within the first 90 days you will be expected to deliver clear progress on the analytics platform. This includes: • Selecting the appropriate analytics warehouse based on performance, cost and scalability, • Designing and deploying ETL / ELT pipelines ingesting data from Amazon Aurora into the analytics warehouse, • Implementing monitoring and alerting across pipelines and warehouse infrastructure, • Reducing benchmark analytics query times to under 2 seconds, • Implementing a caching layer for frequently used analytical queries, • Evaluating the current data architecture and recommending improvements to support long term scale If you’ve spent most of your career working for a large business, think about applying. You’ll need to be able to adapt, pivot and face the challenges that happen in startups. Apply or DM for more information

Analytics Engineer Remote UK Up to £65000 plus benefits This is an exciting chance to join a growing data function during a major modernisation phase. You will take real ownership of dbt development, help shape a new data platform, and play a key role in building reliable, scalable analytics foundations. The Company They are a digital subscription business operating a two sided online marketplace with a strong global customer base. Data sits at the centre of their product and growth strategy, and they are currently developing a modern cloud based architecture. The data team has been expanding and now includes specialists across data engineering, analytics engineering and data science, creating a collaborative environment built for innovation. The Role You will • Own and develop dbt models following best practice and internal standards, • Optimise and maintain dbt pipelines to ensure stable, high performing transformations, • Oversee releases into production and support robust governance, • Work closely with data engineering, data science and business stakeholders, • Contribute to maturing the data stack and improving how insights are delivered, • Support the development of medallion architecture and wider modelling strategy, • Play a key role in the onboarding and optimisation of a new Databricks environment Your Skills and Experience You will need • Strong commercial experience working with dbt in a production setting, • Solid SQL skills and experience within a modern cloud data stack, • Proven ability to build, optimise and maintain analytics models, • Good understanding of data modelling concepts and Medallion style approaches, • Experience within a digital, online or web based business, • Ability to work collaboratively across technical and non technical teams How to Apply If you are interested in this Analytics Engineer role, please apply with your CV.

What are we building? Hard Rock Digital is a team focused on becoming the best online sportsbook, casino, and social gaming company in the world. We're building a team that resonates passion for learning, operating, and building new products and technologies for millions of consumers. We care about each customer's interaction, experience, behavior, and insight and strive to ensure we're always acting authentically. Rooted in the kindred spirits of Hard Rock and the Seminole Tribe of Florida, the new Hard Rock Digital taps a brand known the world over as the leader in gaming, entertainment, and hospitality. We're taking that foundation of success and bringing it to the digital space — ready to join us? What's the position? We are looking for a Senior Backend Engineer to join our new Quantitative Sports team. As a Senior Engineer you will play a critical role in the development and maintenance of the backend aspects of the pricing system for our sportsbook and work alongside our quantitative analysts to deliver our in-house pricing solution. This position will be able to come in and have a lot of ownership of the shape of the backend implementation. Because we operate with a startup mindset, we will be reliant on your technical skill, but also your passion and ownership over all aspects of your work. Key Responsibilities: • Significantly contribute to efforts on a scalable platform designed to perform reliably under intense user and data load, • Be a contributor in architecture discussions regarding the pricing platform, • Be a contributor to the drive to reduce the latency within the system, • Ensure a full testing structure is in place to create confidence and resilience in the system, • Foster team collaboration and knowledge sharing, • Work closely with the quantitative developers to ensure best practices and alignment within the wider department, • Build operational tools and applications to support teams as required What are we looking for? • Minimum 8+ years of engineering experience, • Deep proficiency in Python, especially around backend development, • Experience working in a low-latency platform, • Experience of working in a multi-feed ingestion architecture, • Experience with Micro-Service and Service oriented architectures, • Experience in deploying and managing cloud-based systems and infrastructure (AWS), • Experience with different databases:, • Relational (Postgres, MySQL, etc), • Analytical (Snowflake, Clickhouse), • Strong knowledge of messaging systems (Kafka, RabbitMQ) and pipeline architecture, • Excellent communication skills, with the ability to explain complex technical concepts to both technical and non-technical stakeholders, • Self-driven, meticulous, and ability to prioritize in a complex and fast-paced environment Qualifications: • Bachelor’s Degree (or higher) in Engineering, Computer Science or other related scientific, technical or business discipline, • Minimum of 8 years job related experience Preferred: • Experience within the sports betting industry, • Understanding of pricing engines, trading algorithms, or live odds generation., • Strong interest in sports and sport analytics, • Knowledge with game state feeds such-as Radar & Genius What’s in it for you? We offer our employees more than just competitive compensation. Our team benefits include: • Competitive pay and benefits, • Flexible vacation allowance, • Flexible work from home or office hours, • Startup culture backed by a secure, global brand, • Opportunity to build products enjoyed by millions as part of a passionate team Roster of Uniques We care deeply about every interaction our customers have with us and trust and empower our staff to own and drive their experience. Our vision for our business and customers is built on fostering a diverse and inclusive work environment where regardless of background or beliefs you feel able to be authentic and bring all your talent into play. We want to celebrate you being you (we are an equal opportunities employer)

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.

Senior Cloud Native Data Platform Engineer – Fully Remote (UK Only) Permanent or Contract (Outside IR35) A leading global logistics and supply chain client is seeking an experienced Senior Cloud Native Data Platform Engineer to join a strategic cloud migration project. This is a fully remote opportunity, offered on either a permanent or contract basis, outside IR35. The Project: Join a high-impact initiative focused on a cloud platform migration from Azure to Google Cloud Platform (GCP), modernising data infrastructure to improve scalability, analytics, and business insight capabilities. Key Responsibilities: • Design, implement, and manage cloud-native data platforms across Azure and GCP., • Develop and maintain Infrastructure as Code (IaC) using Terraform., • Manage configuration and automation with Ansible or Puppet., • Automate workflows and processes using Bash, Python, or TypeScript., • Implement and maintain CI/CD pipelines using GitHub Actions and Azure DevOps (ADO)., • Deploy and manage workloads on Kubernetes clusters., • Work with databases such as Postgres and Cassandra., • Manage and optimize data storage and analytics services, including ADLS, ADF, ADX, BigQuery, BigLake, and Pub/Sub. Essential Skills & Experience: • Proven experience with Azure and GCP cloud platforms., • Strong background in Terraform and cloud automation., • Solid experience in configuration management tools (Ansible, Puppet)., • Expertise in scripting and automation (Bash, Python, TypeScript)., • Hands-on experience with Kubernetes and containerized environments., • Knowledge of CI/CD workflows with GitHub Actions and ADO., • Familiarity with relational and NoSQL databases (Postgres, Cassandra)., • Experience with data storage and analytics pipelines. Why This Opportunity? This is a chance to work on a high-profile, transformative cloud migration for a global enterprise, contributing to cutting-edge data platform initiatives. You’ll collaborate with top engineers, influence architecture decisions, and gain exposure to both Azure and GCP at scale. Ready to Make an Impact? If you’re a hands-on cloud engineer passionate about modern data platforms and automation, we want to hear from you. Apply today to join a project that will accelerate your career and put you at the forefront of cloud innovation.

Job Title: Databricks Architect Location: UK/Europe - Remote Engagement Type: Contract (Outside IR35) Role Overview We are seeking a Senior Databricks Architect with 15+ years of experience in Data Engineering/Analytics to design and deliver scalable, secure, and cost-efficient data solutions on AWS. This is a leadership role requiring strong hands-on expertise, proactive risk management, and excellent stakeholder communication skills. Key Responsibilities • Architect and implement data solutions using Databricks on AWS, PySpark, and Python, • Lead cloud migration initiatives, including on-prem to AWS migrations, • Drive GenAI-enabled automation for data asset migration, • Develop scalable data models and deliver actionable business insights, • Design and optimize ETL pipelines (Informatica or similar tools), • Build and deploy PySpark applications for large-scale data processing, • Work on LLM pretraining, fine-tuning, augmentation, and optimization, • Ensure high data quality through cleaning, transformation, and validation (Python/SQL), • Automate data workflows to enhance scalability and efficiency, • Maintain clear technical documentation and best practices Required Experience • 15+ years in Data Analyst/Data Engineer/Data Architect roles, • Strong expertise in Databricks on AWS, • Advanced Python (Pandas, Scikit-learn) and SQL skills, • Proven experience in large-scale cloud data migrations, • Hands-on experience with LLMs and GenAI-based automation, • Strong experience designing secure, high-performance data architectures Key Competencies • Proactive risk & issue management, • Strong requirement clarification and stakeholder engagement skills, • Excellent communication – able to translate technical insights into business value, • Critical thinker with strong problem-solving capabilities, • Self-driven, autonomous, and collaborative approach

Job Title: AI Engineer - Python, LLMs Location: Sheffield (Hybrid) Type: Contract, Full-Time We are looking for a skilled and experienced Analytics Engineer to join a rapidly growing organisation. You will Partner with business stakeholders to design and deliver impactful dashboards, analytical products, and metric frameworks. You will build high-quality analytics datasets, semantic layers, and reusable data models that power reporting and advanced insights. You will be responsible for : • Develop and maintain CI/CD pipelines for analytics workflows, ensuring reliable, automated testing and deployment., • Use Python or similar scripting languages to support analytics, automation, and data manipulation tasks., • Strong SQL and data modelling skills., • Hands-on experience with enterprise analytics platforms such as Power BI and Tableau., • Experience in implementing CI/CD pipelines for Analytics., • Excellent experience with Python., • Excellent experience working with large Enterprise Data Platforms.

Cyber Analytics Engineer 📍 Sheffield (3 days per week onsite) 💼 Contract (Inside IR35) We’re working with a leading financial services client seeking an experienced Cyber Analytics Engineer to join a high-performing cyber and analytics function. Key Responsibilities * Desi

Lead Data Engineer Location: Hybrid (60% Office / 40% Remote) Sheffield Contract: 6 Month Contract (Extension possible) Rate: £400+ per day inside IR35 Role Overview We are seeking an experienced Lead Data Engineer to design, develop, and optimise enterprise-scale data platforms for large, regulated organisations, ideally in banking, financial services, or other regulated sectors. This role requires hands-on technical expertise, leadership, and a consulting mindset to deliver scalable, resilient data solutions while promoting best practices and operational excellence. Key Responsibilities * Lead the design, development, and optimisation of enterprise data engineering platforms * Build and maintain robust ETL/ELT pipelines integrating large, complex datasets * Work with structured, semi-structured, and unstructured data across SQL and NoSQL technologies * Develop solutions using Hadoop, Spark, and Splunk in large-scale environments * Write maintainable Python code, applying object-oriented and functional programming principles * Implement and maintain CI/CD pipelines, automated testing, and version control * Collaborate with BI, Analytics, and downstream teams to support reporting and insights * Pair program and mentor other ...

Founding Engineer – AI/ML (Stealth Start-Up) Location: Fully Remote (UK) Salary: £120,000 + 1.25% equity Company Overview: A stealth-mode e-commerce AI start-up is building a conversational AI sales agent that acts like a knowledgeable in-store salesperson online. Unlike static browsing or basic recommendation systems, this AI engages in real conversations, understands product attributes, compatibility, visual features, and domain expertise, and provides genuinely expert guidance. Every interaction generates high-intent data on customer needs, objections, and unmet demand. This intelligence powers segmentation, product development, and personalisation — far beyond traditional analytics. Long-term, the company is building the cognitive core for future robotic sales agents: the mind that makes expert guidance possible. The founding team brings deep experience: one founder is a 3x founder, investor, and executive with 14+ years building software, consumer, and supply chain start-ups, and the other is an ex-FAANG engineer with deep technical expertise. Role Overview: As the Founding Engineer – AI/ML, you will be at the forefront of developing the intelligence that powers the AI agent. You will design, build, and scale the AI models, data pipelines, and cognitive systems that drive conversational recommendations and insights. This is a unique opportunity to shape the core AI and influence the company's product strategy from day one. Responsibilities: Design, develop, and optimise AI/ML models for conversational understanding, product recommendation, and decision-making. Build pipelines and systems to capture and leverage high-intent customer interaction data. Collaborate closely with founders to define technical roadmap and product strategy. Contribute to designing the memory, reasoning, and cognitive architecture for expert-level AI guidance. Implement scalable solutions that can operate in real-world commerce settings. Requirements: Strong expertise in AI/ML, NLP, and recommendation systems. Proven experience building scalable AI systems end-to-end. Ability to work in an early-stage, high-autonomy environment. Interest in product intelligence, customer experience, and cognitive AI systems. Excellent problem-solving skills, growth mindset, and passion for building cutting-edge AI. Perks & Benefits Competitive salary: £120,000 + 1.25% equity Fully remote within the UK Ground-floor opportunity in a stealth start-up Significant impact on AI architecture, product strategy, and company direction

Data Engineer Remote UK Salary: £45,000 - £55,000 This is an exciting opportunity to step into a high-impact Data Engineering role within a fast-scaling data and machine learning environment. You will sit at the core of the engineering function, working closely with a large data science group and shaping the foundations of their internal tooling and pipelines. The Company They are a rapidly growing data and analytics organisation operating in the alternative data and machine learning space. Their platform powers KPI prediction models used by investment-focused clients, and they have built a strong engineering culture to support a substantial data science function. With significant recent investment and continued growth, they are now expanding their ETL and automation capabilities to strengthen internal workflows and infrastructure. The Role You will focus on building, maintaining, and optimising internal ETL pipelines and workflow automations that support data scientists and enable reliable, scalable reporting. Key responsibilities include: • Designing and maintaining custom ETL pipelines in a cloud-native environment., • Automating internal processes and integrations across tools and APIs., • Supporting workflow orchestration using technologies such as Airflow or AWS Step Functions., • Containerising and deploying services using Docker., • Collaborating with data scientists to streamline their data workflows., • Contributing to improvements across orchestration, tooling, and internal engineering processes. Your Skills and Experience • Strong commercial experience with Python and common data libraries., • Proven ability to build and maintain ETL pipelines., • Hands-on experience with AWS services., • Experience with Docker and containerised workflows., • Familiarity with workflow orchestration tools., • Comfortable integrating with APIs and external tooling., • A practical, delivery-focused approach with the ability to own tasks end to end. How to Apply If this sounds like your next step, please send your CV to register your interest.

Data Engineer (Azure) in Public Sector Consultancy environment Please note you MUST have existing right to work in the UK as visa sponsorship is not offered for this role. You must be eligible for SC Clearance or ideally hold an existing one Location: London or Manchester (Hybrid - infrequent) - you must be able to travel occassionally to these locations. Travel expenses are covered. Salary: £45,000 – £85,000 - dependent on experience/banding Security Clearance: SC active or lapsed within the last 12 months preferred, eligibility as a minimum is expected. We’re looking for a Data Engineer to join a growing consultancy delivering modern data platforms and analytics solutions across both public and private sector clients. This is a hands-on role working within multidisciplinary teams to design and build scalable data pipelines, data models and analytics solutions on modern cloud platforms. What you'll be doing • Designing and building data pipelines and transformation workflows, • Working with SQL and Python to develop robust data solutions, • Delivering solutions on AWS or Azure data platforms, • Contributing to data modelling, analytics and visualisation, • Collaborating with engineers, analysts and stakeholders in Agile delivery teams Tech stack • SQL, • Python, • Azure or AWS, • Databricks / Spark / PySpark, • Data warehouses / lakehouse platforms, • CI/CD and modern engineering practices We're looking for someone who • Has experience building production data pipelines, • Is comfortable working in client-facing or consulting environments, • Enjoys solving complex data problems, • Has worked with cloud data platforms, • SC clearance eligibility or ideally active/recently lapsed This is a great opportunity to work on high-impact data projects helping organisations modernise their data platforms and deliver real value from their data.

ASE_Platform_Engineer 🚨 We’re Hiring: Senior Platform Engineer (Prototype) 📍 Remote / Flexible ⏳ 3-Month Contract (Part-Time Negotiable) 🏢 The Hacking Games Most security data platforms make the same trade-off: Normalise early. Lose fidelity. Query fast. We’re building something that refuses that trade-off. The architecture is defined. We need a senior engineer to build it, someone who understands why the trade-offs most platforms accept are actually the source of their limitations. You’ll work at the intersection of: • Systems programming, • Data engineering, • Security telemetry 🔧 What You’ll Build (Prototype Scope): • High-fidelity telemetry ingestion (host, network, identity, cloud, • Behavioural correlation using graph-based reasoning, • Scenario reproduction with structural integrity Ideal Profile You are a senior / principal IC who: • Understands Linux internals (namespaces, cgroups, eBPF, kernel boundary, • Can read a PCAP and reconstruct application-layer behaviour, • Has built streaming data pipelines with ordering guarantees, • Has worked with high-cardinality columnar analytics (ClickHouse, DuckDB), • Understands graph modelling (Neo4j, Cypher, Gremlin), • Knows container isolation primitives beyond surface Docker usage, • Codes in Python or Go (C / Rust a plus) Highly valued: • Offensive security background, • Deep experience with EDR/SIEM structural limitations, • MITRE ATT&CK at technique level, • Infrastructure-as-code for reproducible labs, • LLM-assisted development as a core habit 💡 How We Work • AI-assisted development is mandatory, • Engineers push back with evidence, • Direct access to founders, • No bureaucracy, • High IP sensitivity (full architecture shared under NDA at interview) 🎯 What We Care About We are not looking for a polished CV. We are looking for evidence that you understand the problem space. • When applying, send 2–3 paragraphs describing:, • Where you worked with high-fidelity security telemetry, • What frustrated you about it, • What you would have done differently That tells us more than a CV. . 📩 🌐 thehackinggames.com

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 a Lead 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 Lead 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 3+ 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., • Strong stakeholder management skills, with the ability to communicate complex AI concepts clearly to technical and non-technical audiences, including senior leadership., • Proven ability to provide technical leadership across AI initiatives., • Demonstrated experience leading and mentoring a small team while remaining hands-on in design and coding. Desirable 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.

Data Scientists, 1 Data Engineer. Establish a stable data serving layer for Grafana and Analytics (via Databricks/MLflow), unblocking the Data Science team. We require a delivery-focused technical lead to own the data engineering domain, re-architect and build our pipelines from the ground up, and m

An online education company in Sheffield is seeking a Data Engineer to build and maintain a modern data platform.

A rapidly growing organization in the UK is seeking an experienced Analytics Engineer to join their team on a full-time contract basis. You will also be responsible for developing CI/CD pipelines for analytics workflows. This position offers a hybrid working model, allowing flexibility while driving

Job Title: AI Engineer - Python, LLMs Location: Sheffield (Hybrid) Type: Contract, Full-Time We are looking for a skilled and experienced Analytics Engineer to join a rapidly growing organisation. You will Partner with business stakeholders to design and deliver impactful dashboards, analytical products, and metric frameworks. You will build high‑quality analytics datasets, semantic layers, and reusable data models that power reporting and advanced insights. You will be responsible for : Develop and maintain CI/CD pipelines for analytics workflows, ensuring reliable, automated testing and deployment. Use Python or similar scripting languages to support analytics, automation, and data manipulation tasks. Leverage LLMs and AI‑assisted tools to accelerate insight generation, documentation, and development workflows.Key Skills and Experience you must have: Strong SQL and data modelling skills. Hands-on experience with enterprise analytics platforms such as Power BI and Tableau. Experience in implementing CI/CD pipelines for Analytics. Excellent experience with Python. Excellent experience working with large Enterprise Data Platforms. Experience using LLMs or AI-assisted tools to accelerate analytics and insight generation. You must be a team player with the ability to work in a collaborative environment. If the role is of interest please get across your CV

You are a well-experienced Lead Data Platform Engineer, looking to take ownership of a modern lakehouse platform and shape best-in-class data engineering practices. As a Lead Data Engineer you will build a Databricks platform with ownership, shaping how data is engineered, deployed, automated, and g

We're working with a leading financial services client seeking an experienced Cyber Analytics Engineer to join a high-performing cyber and analytics function. Strong data engineering and analytics experience (essential) alongside cybersecurity expertise. This is a senior technical role focused on de

Strong commercial experience in AI engineering, ML engineering, data engineering or software engineering with applied AI delivery. As a Lead AI Engineer you can expect to be involved in the following:. Contribute to broader AI architecture and help shape engineering patterns and strategy.

Data Engineer Opportunity, DV-cleared only. A progressive, leading-edge UK consulting and technology organisation is hiring Data Engineers to deliver mission-critical work across defence and security programmes, building modern data platforms and production-grade pipelines that enable better decisio

Strong commercial experience in Data Engineering, ML Engineering or Software Engineering with applied AI delivery. Shape engineering standards, patterns and tooling as part of a new AI function. You will drive the build of production-grade AI platforms, develop agentic automation for complex workflo

Location: Hybrid - London (EdCity, White City, W12 7TF), 3 days in the officeSalary: £35,000 - £40,000 + wellbeing cash plan + pension scheme (LGPS) + additional Lift Schools benefitsHours: 37Contract: Full-time, permanentStart: ASAPStart your data career where it really mattersAt Lift Schools, we

PRINCIPAL AI PLATFORM ENGINEER. You will drive the build of production-grade AI platforms, develop agentic automation for complex workflows, and deliver real business impact in an environment where engineering decisions directly influence performance and efficiency. With strong investment behind AI,

We’re growing and excited to welcome a new Analytics Engineer to join us! Our mission is to transform data into actionable insights, empowering analytics, product, finance, and risk teams to extract the value and information they need. The Analytics Engineering team is a key part of the broader Da

A tech-driven company is seeking an Applied Analytics Engineer to build data-driven systems and integrate APIs.

A leading consumer services company in Greater London seeks a Lead Analytics Engineer to transform data capabilities across the business.

A dynamic technology company in Greater London is seeking a Lead Analytics Engineer to oversee the Analytics Engineering function. This role involves the ownership of data models, acting as a consultant, and leading a team of Analytics Engineers.

A prominent savings platform in London is seeking an experienced data engineer with a strong analytical mindset. The ideal candidate has a minimum of 5 years of engineering experience and a solid understanding of data pipelining, architectures, and software best practices.