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Data Analyst Course Programme – Job Guarantee Included Complete online training designed to take you from zero experience to your first data analyst role. Study part-time, build fundamental skills, and get dedicated job placement support until you're hired. Flexible financing options available, with payment plans starting from as low as £142 per month. The Programme Complete this 10-week online training with just 10-15 hours per week of study time. You'll learn industry-standard tools, including Excel, SQL, Python, and Power BI, while building a professional portfolio with workplace projects. The programme includes earning BCS and CompTIA certifications recognised by UK employers, expert tutor support throughout your studies, and dedicated job placement support with CV help, interview preparation, and direct employer introductions. The Outcome 93% of graduates secure data analyst roles within 3 months. Starting salaries: £28,000 – £38,000 Who This Is For The programme is completely beginner friendly, so no experience needed. Career changers are welcome, and you can study at your own pace. *This programme is available to UK-based learners only. Ready to start earning in data? Limited spaces available. Apply now for the next available cohort.

Shape the Industry and Your Career At Cytora, now an Applied Systems company, we’re transforming how insurers and brokers connect, operate, and grow. Our AI-powered platform is driving smarter decisions, greater efficiency, and seamless collaboration across the global insurance ecosystem. As we accelerate digital transformation, we’re looking for curious, collaborative minds ready to help shape what’s next. If you’re energized by innovation and inspired by impact, your future starts here. Position Overview As a Senior Backend Engineer at Cytora, you will be joining a backend functional team. As such, the teams are small (maximum 4/5 people) and work independently of each other. Each team has a technical lead and a product owner steering the team to make sure we deliver the right features. Regardless of team you join, you will be prototyping, implementing, shipping and supporting features that are changing the insurance industry. The core of our product is to digitize risks and to accomplish that we rely heavily on Generative AI. Our engineering and product teams are distributed across Europe. Below you can find the required and preferred qualifications. We made this list quite extensive so that you also get a taste of our tech stack! This role requires experience with: Git (we use GitHub) Python (buzzwords: msgspec, httpx, pydantic, fastapi, structlog, sqlalchemy, alembic, jinja2, pytest, ruff, mypy) Mypy (we use mypy, a lot. We also welcome candidates with experience with other static type checkers!) Rest APIs (we use openapi spec to document our apis) Relational Databases (we use Postgres) Docker (we use Docker to package our code, and docker-compose to run it locally) AWS Lambda (The vast majority of our backend code is deployed as AWS Lambda functions) AWS S3 AWS RDS AWS API Gateway AWS SQS AWS SNS AWS SES This role benefits from experience with: Redis GCP VertexAi (we use gemini a lot) GCP BigQuery (we use it to power our analytics) OCR engines (we use AWS Textract, GDocAI, and we have used tesseractOCR in the past) Prompt Engineering Kubernetes CircleCI DataDog Auth0 Role Based Access Control JsonSchema Pusher (we use it to push notifications to our Frontend Web App) LocalStack (we use it to mock AWS services locally) Terraform Why Cytora We’re building the future of insurance and we’re doing it together. At Cytora, now an Applied Systems company, we’re driven by a shared mission to transform the industry through AI-powered solutions that deliver smarter decisions, stronger connections, and better outcomes. We foster a culture that values who you are and recognizes that you’re more than your role: you’re a teammate, and you matter. We thrive on the strength of our diverse experiences and celebrate the uniqueness each person brings to work every day. We believe flexibility fuels performance. Whether remote, hybrid, or in-office, we empower our teams to work in ways that work best for them. Here’s what you can expect when you join us: Competitive salary Flexible working and remote options Professional development budget & conference access Annual company retreats A mission-driven culture that puts people first Location Cytora are a remote-first company. For this role you can be based anywhere in the UK or Ireland provided you have fluent spoken and written English, and have the permanent right to work without requiring visa sponsorship. AI Utilization We leverage AI tools to streamline parts of our recruitment workflow (such as resume parsing and interview scheduling). However, candidate screening, interviews, and final decisions are conducted by real humans. EEO Statement Applied Systems is proud to be an Equal Employment Opportunity Employer. Diversity and Inclusion is a business imperative and is a part of building our brand and reputation. At Applied, we don’t discriminate, and we are committed to recruit, develop, retain, and promote regardless of race, religion, colour, national origin, sex, sexual orientation, gender identity, disability, age, veteran status, and other protected status as required by applicable law.

Python Risk Developer (Contract) - FICC / Emerging MarketsDublin, Ireland | Remote WorkingContract Role Overview Our client, a prestigious financial institution in Dublin, is seeking an experienced Python Risk Developer for an exciting contract opportunity. The successful candidate will be working on cutting-edge risk management solutions for Emerging Markets within Fixed Income, Currencies, and Commodities (FICC). Key Responsibilities • Develop algorithms and strategic frameworks for next-generation risk management platforms, • Participate in all stages of the software development lifecycle, • Collaborate daily with traders, quantitative analysts, and senior stakeholders, • Design and implement robust risk calculation and reporting solutions, • Contribute to system architecture and technical design decisions Required Skills & Experience, • Strong Python programming skills, including proficiency with NumPy, SciPy, and other scientific libraries, • Demonstrated experience in financial risk management systems development, • Understanding of FICC products, particularly in Emerging Markets, • Knowledge of software engineering design patterns and best practices, • Experience with market data feeds and consumption technology (e.g., Reuters, Bloomberg), • Familiarity with yield curves and their construction methodologies Preferred Qualifications, • Experience working in tier-one financial institutions, • Background in Market Risk or Trader Risk development, • Strong knowledge of rates and fixed income products, • Experience working in fast-paced delivery environments, • Ability to communicate complex technical concepts to non-technical stakeholders What Our Client Offers, • Competitive contract rates, • Hybrid/ remote working arrangement, • Opportunity to work on high-profile projects with exposure to senior business sponsors, • Collaborative environment with cutting-edge technology, • Professional development in advanced risk management technologies If you're an experienced Python developer with a strong interest in financial risk systems and are looking for your next challenging contract role, please get in touch with us today! McGregor Boyall is an equal opportunity employer and do not discriminate on any grounds.

Cloud Security Engineer A highly reputable and market-leading financial corporation is currently hiring a Cloud Security Engineer who has recent experience in on-premises to cloud transformations within an established security team. The chosen Cloud Security Engineer will play a crucial role in the design/implementation of our client’s new technology estate. You must have demonstrable experience of security design principles & practices across cloud, storage, networking and RBCA coupled with monitoring, alerting and incident response to be considered for this position. This role is paying between £90,000 to £100,000 + 25% Bonus with hybrid working (3 day PW in office) to be based in Chatham or Wolverhampton. Our client is also open to consider candidates who require visa sponsorship on an individual basis only. Core responsibilities: • Assist with scoping, design and build of secure Azure cloud services to support the Modernisation programme and deliver a scalable and flexible cloud security capability to support and facilitate innovation for our clients new ecosystem., • Work with the Design & Delivery Lead to help define and deliver the high-level and low-level security objectives and designs for a project or programme, aligning to business and functional requirements., • Work with teams to implement secure systems and solutions through the application of regulations, policies, standards and procedures to meet user needs while managing business and security risks., • Develop, test, and deliver Security Policy as code for a variety of Public Cloud compute services and Container platforms leveraging native services., • Understand industry standard controls such as CIS/NIST/GDPR/ISO/CSA CCM/MCSB to deliver compliant solutions through appropriate adoption, configuration and management of key controls., • Deliver security work stream activities and tasks against the migration strategy and integration points for central security services to manage/monitor the cloud infrastructure., • Drive discussions and design decisions to deliver scalable and manageable cloud solutions aligned to security, performance, operational and cost constraints. Essential technical skills and experience, • Proven experience in Cloud Infrastructure Engineering/Platform Engineer/Security Engineer role, migrating and integrating cloud foundation services (preferably on MS Azure public cloud) is essential., • Proven experience with implementing secure core foundational services in a cloud infrastructure for AD, SecDevOps, Networking Services, at an enterprise level is essential., • Proven experience in SIEM & SOAR (security information and event management (SIEM) and security orchestration, automation, and response (SOAR). Experience with Rapid7 SIEM tooling is desirable., • Proven experience with the core foundational security services of cloud providers (preferably Azure or AWS equivalent for AD, Defender for Cloud, Azure Sentinel, AppGateway and APIM, Azure Identity Protection, PIM) is essential., • Proven experience with Provisioning Security policy as Code (IAC) tools such as Terraform, CloudFormation and adopting secure code practices and guidelines is essential., • Advanced understanding and use of scripting languages such as Python, Groovy, Go is essential., • Microsoft Azure Security Engineer Associate certification or AWS equivalent. Benefits Package:, • Visa sponsorship / £90 to100k / Up to 25% Bonus / Work from home options / Flexible working / 30 Days Holiday / Medical Cover / Life Cover / Pension (up to 8% employer contribution) Cloud Security Engineer

Are you a Geospatial Data Engineer Volunteer wanting to use your skills to help people in a humanitarian crisis and ultimately help save lives? MapAction can enable you to volunteer to do just that. Volunteers have been the heart of the MapAction for over 20 years but the range of skills needed continually evolves. Now we are looking for a enthusiastic Geospatial Data Engineer professional who has a desire to commit to a great team, and to help MapAction make a difference that has a lasting effect on vulnerable communities. MapAction works with a range of humanitarian partners, from local organisations who are closest to the ground to a range of global UN partners. Come and be part of something that is exciting and impactful! Why MapAction? MapAction is a leading humanitarian mapping charity, delivering information services and products to enhance decision making in disasters and conflicts. In collaboration with our partners, this mapped information helps responders understand vulnerabilities and target their response effectively, contributing to saving lives and minimising suffering. We work through a team of skilled volunteer professionals and a small paid staff team. We have built a strong reputation in the humanitarian sector, and are a technical partner of the United Nations, Non-Government Organisations and Civil Society Organisations, the Red Cross, Red Crescent Movement, regional entities and national authorities. The humanitarian sector is evolving, and technical expertise such as GIS, mapping, information management, data processing and visualisation are becoming increasingly utilised for improving decision making in complex humanitarian response. MapAction and our partners are uniquely positioned to provide technical expertise in support of this. As a volunteer, we will be able to work with technical staff and volunteers on different opportunities. Once your onboarding is complete, you will be able to choose the tasks and projects that best fit your skillset and interests. Here below some activities that our data engineer volunteers can support with: • MapAction external projects that require a Data Engineer skillset (e.g.: data pipeline automation, hazard exposure platforms, multi-risk models, conflict incident reporting, etc…), • Work with external partners such as UN agencies, International NGOs and Academic Institutions, • Conduct and automate data collection and processing scripts, • Create and maintain optimal, performant data pipeline architectures, both internally and externally, • Propose improvements to infrastructure, schemas, platforms, toolchains and configurations, • Assist in the automation, provision and management of development environments, source-code, build-tools, pipelines and deployments, • Support ad-hoc Data Processing during MapAction’s Emergency Responses in collaboration with MapAction’s GIS team, • Support internal systems maintenance in collaboration with MapAction’s IT Support Engineer, • Attend and / or represent MapAction on technical conferences, • Train other volunteers or external organizations on Data Engineer tools and processes What are we looking for? If you feel you are a good match but do not feel like you meet all the requirements, we are still happy to receive your application! The core skills we look for in all of our team members are the following: • A desire to use their skills, experience and dedication in the cause of humanitarian ends, • Good team player with leadership and/or project management experience or ambition wherever possible, • Exceptional communication skills, to explain your work to people who don't understand the mechanics behind data analysis, and experience in understanding partner needs and requirements, in particular working with non-technical clients, • Adaptable, resilient and solution-oriented, • Self-motivated and organised, • Time to commit to MapAction, for more details on the time commitment, please refer to the “What does it mean to be part of the MapAction team?” Essential: • Degree or equivalent experience in the field of Data Science, Data Engineering, Computer Science, Software Development, Information Technology or a related field, • Three or more years of professional experience working in a data or information management team, as a data engineer, data scientist, developer or other similar role, • Experience and proficiency working with Python and Jupyter Notebooks, • Data pipeline design skills, • Knowledge of cloud platforms like GCP, AWS or Azure, • Experience and understanding of CI/CD pipelines, • Project management experience. Experience in understanding partner needs and requirements, in particular working with non-technical clients., • Collaborative code management using Git & GitHub Desirable: • Experience of participating in a volunteer organisation or open source projects., • Experience with QGIS or ArcGIS, • Experience working with geospatial data (raster and vector), • Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs), • Experience with Systems Engineering, • Understanding of the Software Development Life cycle, • Thorough grounding in containerisation e.g. Docker, Kubernetes, • Shell scripting, • An interest in software-engineering or data-science e.g. ML / DL / AI / Statistics, • Humanitarian knowledge/experience What does it mean to be part of the MapAction team? Being part of MapAction means entering a close-knit community of highly skilled and committed and experienced professionals in different sectors. It means using your unique skills to help prepare for, anticipate, or respond to humanitarian emergencies, enabling our partners to provide life-saving support. At MapAction, training and team building are at the heart of our organisational culture. We have frequent meet-ups online and in person where paid staff and volunteers get together for training opportunities and skill-sharing, to strengthen our service offer. As a volunteer, you can participate in all levels and areas of the organisation, working alongside our colleagues at various UN agencies and/or other humanitarian partners. Volunteers also steer the organisation's strategic direction and are involved with designing and implementing our operational capacity. You will have the opportunity to travel, whether that’s at training events, project work abroad, missions or representing MapAction at a conference. Availability for projects, including in-person deployments • MapAction expects a high level of commitment by volunteers to make themselves available to deliver projects, whether these projects are planned or emergency missions, remote or in-person, one-off tasks or longer term commitments., • Deployable volunteers are expected to seek a commitment from their employer (if applicable) to permit time off (paid or not) for deployments when necessary., • For emergency deployable volunteers, there must be arrangements in place for a quick decision to be taken on availability, including agreement from employers/family if required, in the event of all alerts. This should normally be within 12 hours of the issue of the alert, depending on time-zone., • For non-emergency deployments and projects logged on the tasking grid, volunteers must respond to a request for assistance (whether yes or no) by the deadline specified on the grid., • Volunteers are expected to put themselves forward for at least three substantive (i.e. at least two days work) tasks every year, and are normally expected to contribute at least 10 days of voluntary effort (excluding training) to MapAction every year., • It is the duty of all volunteers to do their best to make themselves available for any opportunity relevant to their volunteer role, and avoid perceptions of volunteers selecting only more ‘attractive’ tasks or missions. It is essential that MapAction is able to deliver on all tasks it commits to, and it relies on volunteers to be prepared to step up for a wide range of activities. As a member of the team, you will be expected to participate in at least 6 internal weekend training events. This must include our annual simulation exercise, which all volunteers are required to attend. Other weekend training events include 6 annual training weekends where we get together in person at various locations around the UK, and 4 online development days. Volunteers should live either within the UK or within reasonably easy and affordable reach of the UK in order to be able to attend face to face training events. Equal Opportunities Statement We are committed to creating an inclusive environment and welcome applications from people of all backgrounds, communities, and experiences. We value diversity and are dedicated to providing equal opportunities regardless of age, disability, gender identity, marital or civil partnership status, pregnancy or maternity, race, religion or belief, sex, or sexual orientation. Selection for volunteer roles is based solely on an individual's skills, experience, suitability for the role, and commitment to our values. Notable Dates for volunteer process: Closing date - 19th July 2026 If successful after evaluation - test - week of the 27th July 2026 Attendance for Interviews online - week of the 12th August 2026 Attendance for final round in person - 12th September 2026 Unfortunately we are unable to accommodate anyone who can not meet these dates.

ML Infrastructure Lead About iProov iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Chief Scientific Officer Location: WeWork Waterloo - Hybrid Comp: Negotiable (Base) + Company Performance Bonus (20%) + Share Options + iProov Benefits We are looking for a highly capable and hands-on Senior ML Infrastructure Lead to build and scale the technical foundations that enable machine learning to operate effectively in production. This is a hybrid leadership role sitting across machine learning infrastructure, platform engineering and MLOps. You will be responsible for designing and evolving the systems, tooling, processes and standards that allow ML teams to train, deploy, monitor and improve models reliably, securely and at scale. You will work at the intersection of machine learning, software engineering, data, cloud infrastructure and platform reliability, helping bridge the gap between research and production. This role is ideal for someone who can think strategically about long-term platform capability, while still being technically hands-on enough to solve complex engineering and operational challenges. • Lead the design and evolution of our ML platform, infrastructure and MLOps capability, • Build and maintain scalable, reliable and secure systems for model training, testing, deployment, monitoring and lifecycle management, • Develop the infrastructure and tooling that enable ML Engineers, Data Scientists and Researchers to work efficiently and ship models with confidence, • Design robust workflows for CI/CD, model versioning, reproducibility, experimentation, feature management and release management, • Own and improve the production environment for machine learning systems, ensuring strong standards for availability, performance, observability and resilience, • Define and implement monitoring across model and platform layers, including system health, data quality, drift, latency, throughput and cost efficiency, • Build or optimise internal self-service tooling and platform capabilities to reduce friction for teams working on ML use cases, • Partner closely with ML, Data, Software and Platform Engineering teams to productionise models and improve the end-to-end ML development lifecycle, • Support the scaling of infrastructure for both training and inference workloads, including high-throughput, real-time or compute-intensive use cases where relevant, • Drive best practice in governance, security, compliance, auditability and operational rigour across the ML lifecycle, • Improve the efficiency and cost-effectiveness of ML systems, including cloud resource usage, compute environments and deployment patterns, • Mentor engineers and act as a technical leader across ML platform and operations topics, • Help define the roadmap for ML enablement, ensuring the platform can support current needs while scaling for future growth You will have experience working in high growth, fast paced tech-first environments. You are passionate about building & launching quality products that have a positive impact. You’re an experienced product leader with a background in security, identity (IAM), or enterprise SaaS. You combine strategic vision with operational rigour, and you’re motivated by delivering usable, secure, and elegant solutions to complex technical problems. • Proven experience in a senior MLOps, ML Platform, ML Infrastructure, Platform Engineering or Machine Learning Systems role, • Strong hands-on background in software engineering and cloud infrastructure, ideally with direct experience supporting production machine learning environments, • Experience building and operating systems that support the full ML lifecycle, from experimentation and training through to deployment and monitoring, • Strong knowledge of Python and sound engineering principles, including testing, automation and code quality, • Strong experience with cloud platforms such as GCP, • Experience with Docker, Kubernetes and modern containerised deployment patterns, • Strong experience with CI/CD pipelines, infrastructure-as-code and workflow orchestration, • Experience with tools such as Airflow or similar platform and orchestration technologies, • Good understanding of model observability, data quality, feature pipelines, lineage and reproducibility, • Experience designing scalable infrastructure for ML workloads, including training, batch inference and real-time serving, • Strong appreciation of reliability, security, governance and operational excellence in customer-facing or production-critical systems, • Ability to operate across both strategic and hands-on technical work, • Strong communication skills and the ability to work effectively across engineering, product and data teams Nice-to-haves • Experience supporting computer vision, deep learning, LLM or other compute-intensive ML workloads, • Experience with GPU infrastructure, distributed training or high-performance compute environments, • Familiarity with feature stores, model registries and automated retraining pipelines, • Experience building internal developer platforms or self-service ML tooling, • Experience in regulated, high-security or high-availability environments, • Experience leading or mentoring engineers in a scale-up or high-growth technology business, • Familiarity with responsible AI, model governance or risk controls in production ML setting, • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to _. Job Title: Senior Backend Engineer - Casino UX Company Description: Midnite - Series C betting platform backed by $75M+ from Raine Group and Makers Fund. Job Description: Join the Casino UX team to build the high-concurrency backend systems powering a modern betting experience. You will design RESTful APIs, integrate external partners, and scale services on AWS to handle real-time traffic spikes. This is a critical role in a fast-growing squad where your architectural decisions directly impact millions of fans. Location: Remote, UK Why this role is remarkable: Significant scale and impact: join a Series C company that grew 10x in the past year, offering the chance to shape architecture at a critical inflection point. Modern engineering culture: work in a high-autonomy environment with daily deploys, no legacy code, and a tech-first approach to a traditional industry. Exceptional backing: join a top-tier team supported by $75M+ in funding from premier investors like The Raine Group, Play Ventures, and Makers Fund. What you will do: Design and maintain robust backend services and RESTful APIs using Python, Flask, and PostgreSQL to power mobile and web applications. Collaborate in a cross-functional squad with product, design, and trading experts to deliver immersive, real-time gaming features. Own systems end-to-end, from architectural decision-making and technical documentation to monitoring and scaling infrastructure using Terraform and AWS. The ideal candidate: Has 5+ years of professional backend engineering experience with a strong proficiency in Python or another major backend language. Demonstrates a solid understanding of relational databases like PostgreSQL and cloud infrastructure, specifically AWS services like SQS and S3. Thrives in fast-paced, agile environments and enjoys mentoring junior engineers while contributing to high-level technical and architectural discussions. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit _. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

Trainee AI Engineer – No Experience Needed \n Future-proof your career in Artificial Intelligence – starting today. \n Looking for a career change? Currently employed but want something better? Or maybe you're between jobs and ready for a fresh start? ITOL Recruit's AI Traineeship is designed to get you into one of the fastest-growing industries with zero experience required. \n Train online at your own pace and land your first AI Engineer role in 1-3 months. \n Please note this is a training course and fees apply \n Job guaranteed - complete the programme and get a job or get your money back. \n Our candidates earn £28,000-£45,000. \n \n Why AI? \n AI is reshaping every industry you can think of. Healthcare, finance, retail, and manufacturing – they’re all scrambling for skilled professionals. \n The demand far outstrips supply, which means excellent salaries, flexible working arrangements, and genuine job security. \n \n How It Works \n Step 1 – AI Engineering Fundamentals \n Start with the basics of AI, including neural networks and large language models, to build a solid foundation in AI engineering. \n Step 2 – Data Fundamentals \n Understand the data workflow, from collection to cleaning, and learn how to prepare data for AI applications. \n Step 3 – Notebooks & IDEs \n Get hands-on with industry-standard tools like Jupyter Notebooks and VS Code to develop AI systems. \n Step 4 – Python Programming \n Master Python, covering everything from the basics to object-oriented programming (OOP). \n Step 5 – Python Streamlit Project \n Apply your Python skills by building a car price prediction app using Python and Streamlit. \n Step 6 – Python for Data \n Learn essential Python libraries like NumPy, Pandas, and Matplotlib for data manipulation and visualisation. \n Step 7 – AI Sentiment Analysis Project \n Work with Hugging Face to build a sentiment analysis classifier using real-world AI techniques. \n Step 8 – AI Prompt Engineering \n Master prompt engineering, learning how to craft effective prompts for controlling AI outputs. \n Step 9 – Retrieval-Augmented Generation (RAG) \n Learn how to integrate external knowledge into AI systems using RAG techniques and vector databases. \n Step 10 – AI Specialised Customer Service Chatbot Project \n Combine prompt engineering and RAG to build an AI-powered customer service chatbot, delivering intelligent responses using vector databases and knowledge bases. \n Step 11 – Machine Learning Fundamentals \n Understand machine learning principles and algorithms, and how to train and test models using scikit-learn. \n Step 12 – Machine Learning Project \n Put your machine learning knowledge into practice with a hands-on project. \n Step 13 – AI & Data Ethics \n Study the ethical considerations in AI, including issues of bias, fairness, and data privacy. \n Step 14 – Oral Exam \n Complete a virtual oral exam to assess your understanding and ability to apply your learning. \n Step 15 – AWS Certified Cloud Practitioner \n Finish with the AWS Certified Cloud Practitioner course and exam to gain essential cloud computing knowledge. \n \n What You Get \n · 100% online, self-paced training \n · Microsoft AI-900 certification included \n · 1-to-1 tutor and recruitment support \n · Real-world project experience \n · Job guarantee – get a job or your money back \n · Starting salary of £28,000–£45,000 \n \n We Get You Hired \n We're not new to this. ITOL Recruit has 15+ years of experience and has placed over 5,000 people into new roles. \n Our job programmes include certified tutors, UK-accredited qualifications, and one-on-one support from a recruitment adviser focused on placing you. \n We don't believe in empty promises. Complete our programme, follow the process, and if you don't land a job, you get your money back. \n "Five months from complete beginner to AI engineer. Best decision I ever made." – Jamie W., now working as a Junior AI Engineer in London \n \n Ready to Start? \n If you’re motivated, curious, and excited about technology, we’ll help you turn that into a career you can be proud of. \n Apply now, and one of our expert Career Advisors will be in touch within 4 working hours to guide you through your next steps. \n

Neoflow is a platform that transforms how businesses globally handle payment processes. Our aim is to streamline your payment operations, ensuring they are smooth, efficient, and secure. We eliminate interruptions and minimise the time spent managing payment operations, so our clients can concentrate on expanding their business. We are currently seeking a Full Stack Engineer to join our dynamic team. In this role, you will have the opportunity to work with a team of talented professionals, driving the company's technological objectives forward. Neoflow prides itself on its commitment to innovation, and as our Full Stack Engineer, you will play a pivotal role in developing and implementing cutting-edge solutions. This role is not just a job—it's a career packed with opportunities to grow and make a significant impact in a fast-paced, tech-driven environment. We are a remote first company and we welcome applications • Develop and maintain web applications using front-end technologies such as HTML, CSS, and JavaScript, • Design and implement database schemas and query optimization for efficient data storage and retrieval, • Collaborate with cross-functional teams to develop and integrate APIs for seamless data exchange, • Perform code reviews and ensure adherence to coding standards and best practices, • Troubleshoot and debug issues, and provide timely resolutions to ensure smooth functioning of the application, • Bachelor's degree in Computer Science or a related field, • Minimum of 3 years of experience in full stack development, • Proficiency in programming languages such as JavaScript, Python, and Java, • Experience with front-end frameworks like React or Angular as well as backend Javascript frameworks such as NodeJS, ExpressJS, or NestJS., • Knowledge of database systems and SQL queries, • Previous fintech experience will be an advantage, but not a requirement Join Neoflow, a leading company in fintech. Apply now for the Full Stack Engineer position and be part of our innovative and dynamic team!

We are currently looking for a talented Senior C++ Developer. In this role, you will interact closely with various departments across our organisation, including the product engineering and customer support teams. As a senior figure, you will also have the opportunity to coach team members and take a leading role in critical software development projects. Key focuses will be contributing to the future technical direction of our main product, gaining deep expertise in our domain whilst promoting modern development practices. Role Responsibilities: • Hands-on C++ software development contributing to the design, maintenance and advancement of complex software, • Stay abreast of the latest developments in C++ and related technologies, contributing to a progressive developer experience, • Mentor and coach junior team members, • Conduct code reviews, embedding quality and promoting best practices, • Collaborate closely with other teams to ensure smooth delivery and knowledge distribution, • Promote a balance between business value, technological improvements, and near-term goals Key Skills: • Expert-level C++ with significant commercial experience, • Strong knowledge of modern features and best practices, • In-depth knowledge of architecture, design, maintainability, scalability and performance, • Excellent collaboration and communication skills, • Industry experience with multi-threading and complex memory management, • Keen interest in continuous improvement and personal development, • Experience with CI/CD pipelines, • Adept in managing legacy code bases, • Experience with higher level languages - specifically Python and C# would be beneficial, • Comfortable working across technology domains and software stacks, • Strong knowledge of Linux and Windows Operating Systems, • Awareness of containerisation and orchestration technologies, • Familiarity with scripting languages, • Experience in collaborative and iterative development approaches, • Bachelor's or Master's degree in Computer Science, Software Engineering, or a related field is required We encourage you to apply even if your experience is not a 100% match with the position. We are looking for someone with relevant skills and experience, not a checklist that exactly matches the job description. We want to help you grow, and in return, you help us grow into a stronger, more inclusive organisation. About Us: We didn’t start out as a traditional security product. In the beginning, Glasswall was one of only two file sanitisation filters in the US Intelligence Community’s highly classified networks. We are rated #1 by the National Security Agency. We designed Glasswall CDR to protect businesses against the most advanced file-based threats. Today, we’re trusted by commercial and government organisations around the world. Inclusion: At Glasswall we believe that diversity of people and thought are central to our purpose. We are committed to making Glasswall a company that is attractive to people of many different backgrounds. This includes diversity in every sense of the word: those with different backgrounds, ages, ethnicities, gender identities, sexual orientations, ways of thinking and those with disabilities or neurodivergent conditions. We therefore welcome and encourage applications from everyone, including those from groups that are under-represented in our workforce. One of our corporate objectives is to ensure that the organisational health of the firm is highly rated by our employees. We believe that this is only possible if we promote a culture of inclusion and respect across out business. Each quarter we survey employees on a range of questions relating to our organisational health. This holds a mirror-up to a business and ensures that we can focus on where we need to do better. We have an Organisational Health Committee, which is chaired by a non-executive position. The panel has been formed to guide the leadership in taking positive action that supports a good work-life balance, family friendly relations and to be inviting to a diverse range of potential employees. We also have a Women in Technology Group which has been formed to promote balance in the way that we communicate with, promote, encourage, and support people across our business. Work/Life Balance: Our team puts a high value on work-live balance. It isn’t about how many hours you spend at home or at work; it’s about the flow you establish that brings energy to both parts of your life. We believe striking the right balance between your personal and professional life is critical to life-long happiness and fulfilment. We offer flexibility in working hours and encourage you to find your own balance between your work and personal lives. Salary and Benefits: • Glasswall offers a competitive salary and incentives package., • We offer flexible and remote working options, with hybrid working from our Central London office., • Office travel and incidental WFH expense coverage., • 25 days holiday (plus public holidays)., • Private Medical Insurance including mental health support and cancer care., • Enhanced sick pay., • Annual investment in training and professional development., • Company sponsored life, critical illness, and income protection insurance., • Contributory pension scheme., • Access to ‘salary sacrifice’ benefits such as Cycle to Work and Tech Schemes. A successful candidate will live in the United Kingdom and is comfortable working from home with some meetings being held in the London office. Glasswall is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, disability, age, or other legally protected status. Application process: Interested candidates can email jandersen@glasswall.com or visit http://careers.glasswall.com/ to apply.

Collabora is currently looking for a very technically capable, enthusiastic and passionate Continuous Integration (CI) & Testing Developer to join its ever-growing engineering team. As a member of the CI & Testing team, your primary focus will be to participate in the development, integration and deployment of Open Source Continuous Integration and Automated Testing systems in upstream projects. The scope of the work ranges from hardware automation through LAVA, to systems like KernelCI and Mesa CI. \n Responsibilities • Analyse a project's needs for automated testing and design an implementation plan to discuss with the upstream community and Collabora's customers, • Monitor and identify areas of improvement for existing upstream Continuous Integration systems, • Implement the CI system by integrating the required dependencies, building the code at test, deploying it to the device under testing, executing the tests and distributing and presenting the results, • Represent Collabora at conferences and trade shows to demonstrate and promote our leadership in the open source arena, • Understand client needs and reconcile time constraints, available technologies and resources, and Open Source best practices Desired Skills • Good understanding of Continuous Integration systems, • Experience with Gitlab CI/CD and/or GitHub Actions, • Experience with Python and Python frameworks such as Django, Flask, FastAPI, • Knowledge of open source development methodologies and relevant open source communities, • Good English language skills (both verbal and written), • Ability to work and communicate in a fully distributed environment, completely online Additional Skills - for some projects, possessing any of these skills can be very helpful • Familiarity with the upstream Linux kernel development workflow, • Embedded development experience (firmware, bootloaders, kernel, BSP), • Knowledge about OpenGL and/or Vulkan GPU drivers, • Sysadmin/DevOps experience, • Fluency with Kubernetes \n Collabora is a software consultancy specialising in bringing companies and the Open Source community together. We combine years of Open Source software leadership with an understanding of the challenges that businesses, non-profits and governments face. Collabora brings deep technical expertise in system integration & architecture, graphics, multimedia, web engines and communications to a number of market verticals, including mobile, IVI / automotive, set top box / smart TV, and a range of other specialised embedded applications. Collabora has the unique business model of enabling enterprises to leverage Open Source software in their solutions. Having worked with notable industry leading companies in the automotive, aerospace and handset mobile verticals amongst many others, Collabora has established a broad customer portfolio. #LI-Remote

Attio is the CRM built for the AI era. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. We are seeking highly skilled and experienced Platform Product Engineers to join our Security, Infrastructure and Performance team. This is a crucial, dual-faceted role that combines high-level engineering strategy with hands-on operational excellence. The successful candidates will be responsible for building, operating, and continuously enhancing the internal technology platform, fundamentally treating this platform as a product with all development teams as its primary customers. The Platform Product Engineer role is centered around embodying and executing DevOps principles, specifically focusing on: Automation: Systematically removing manual toil from the software development lifecycle (SDLC) through the creation of robust tooling, CI/CD pipelines, and infrastructure-as-code (IaC). Collaboration: Fostering a tight, cooperative partnership with product development teams, gathering requirements, and delivering solutions that accelerate their productivity and time-to-market. Continuous Improvement: Instilling a culture of iterative enhancement for the platform's reliability, cost-efficiency, and developer experience. This mandate is underpinned by a rigorous Site Reliability Engineering (SRE) mindset. The successful candidates will be instrumental in defining and upholding Service Level Objectives (SLOs) and Service Level Indicators (SLIs), implementing effective monitoring and alerting strategies, and leading operational incident response processes. The core responsibility is to implement, maintain, and continuously improve the foundational platform infrastructure that powers all engineering services. This necessitates a relentless focus on ensuring high reliability, exceptional scalability, and optimal performance across the entire stack. Platform Infrastructure: Build and maintain platform infrastructure using declarative IaC tools (e.g., Terraform, Pulumi), ensuring all environments are reproducible, version-controlled, and auditable. Proactively manage the capacity of the infrastructure to consistently meet or exceed Service Level Objectives for latency, error rates, and availability. Incident Response and Post-Mortems: Act as first-line responders for critical system incidents. Triage, diagnose, and resolve complex production issues rapidly. Drive a culture of blameless post-mortems, ensuring root causes are identified, and long-term preventative measures are implemented as code (e.g., via runbooks, automation, or system design changes). Tooling & Automation: Own the stack of supporting tools necessary for operational excellence and developer enablement, including: Continuous Integration and Continuous Delivery (CI/CD) Pipelines: Implement, maintain, and evolve the fully automated CI and CD pipelines. This includes establishing best practices for fast, reliable, and secure build, test, and deployment processes. Observability: Implement and manage robust systems for monitoring (metrics), logging (centralised log aggregation), and distributed tracing to provide deep insights into application and infrastructure health. Applied DevOps and SRE Principles: Must have : Demonstrable, hands-on experience applying core DevOps and Site Reliability Engineering (SRE) principles to manage, monitor, and scale production systems. Must have: A deep understanding of the SRE mindset, including SLO/SLA creation and monitoring, error budget management, toil reduction, and post-incident review (blameless postmortems). Desirable: Proven ability to drive cultural and process change that fosters a collaborative approach between development and operations teams. Cloud Infrastructure and Containerisation Expertise: Must have: Expertise in one or more major public cloud providers (AWS, GCP, or Azure), encompassing network configuration, security best practices (IAM, security groups, etc.), compute services (EC2, GKE, ECS, etc.), and managed services (databases, queues, serverless functions). Must have: In-depth knowledge of container technologies, specifically Docker, and extensive experience orchestrating them at scale using Kubernetes (K8s). This includes designing, deploying, and managing Kubernetes clusters, understanding networking (CNI), storage (CSI), and security configurations within the Kubernetes ecosystem. Automation and Programming Skills: Must have: Proficiency in one or more modern software languages (e.g., Typescript, Go, Python, Rust) and associated frameworks used for building high-performance, resilient production systems. Must have: Proven experience developing robust, maintainable, and well-tested automation scripts, services and pipelines to manage infrastructure, deployments, and operational tasks. Operational Tooling and Observability Management: Must have: Experience owning, managing, and maintaining mission-critical operational tooling. Desirable: Proven background in implementing and managing centralised logging solutions or similar platforms (e.g., Splunk, DataDog). Desirable: Familiarity with distributed tracing tools (e.g., Jaeger, Zipkin) and Application Performance Monitoring (APM) solutions. Competitive salary of £95,000 to £125,000 Equity in an early-stage tech company on an incredible trajectory 25 days holiday plus local public holidays Apple hardware Private medical insurance through AXA Pension contribution through Hargreaves Lansdown Enhanced family leave Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far)

We are a first-mile intelligence platform, delivering granular visibility into the point of origin in global ag & soft commodity supply chains - where risk, cost, performance and exposure are set. You’ll join a global, cross-functional team that values rigour, curiosity and working close to real-world challenges. Whether your focus is AI, climate, product or operations, you’ll have space to contribute meaningfully and make an impact from day one. If you’re excited by complex problems and want to help reshape how nature is valued in real-world decision-making, we’d love to hear from you. We are hiring a Machine Learning Scientist into the Science Team to contribute to the development of models — from classical statistics and gradient-boosted methods through to deep learning when warranted — that turn satellite, radar, and LiDAR observations into defensible, plot-level intelligence on the world's commodity supply chains. You will work across the full lifecycle — from research and prototyping through to validated, productionised models. A meaningful fraction of the team's work centres on building lightweight downstream models — classifiers, regressors, similarity-search workflows. Likely focus areas for this role include: Commodity and plantation mapping by region - palm oil, cocoa, coffee, rubber, soy, timber and similar - in support of EUDR compliance and supply-chain due diligence. Forest degradation and biomass / canopy-height estimation from multi-sensor fusion. Develop ARR feasibility models that fuse climate, soil, and remote-sensing inputs to estimate site potential, forecast biomass and carbon trajectories, and quantify physical and permanence risk. Design, train and evaluate ML models - from gradient-boosted methods to CNNs, U-Nets and vision transformers - for commodity and plantation mapping, land-cover classification, change and disturbance detection, and biomass / canopy-height estimation. Build embedding-driven workflows on top of EO foundation models - few-shot classifiers, similarity search, downstream regressors. Design validation strategies that benchmark outputs against plot inventories and third-party reference datasets, quantify uncertainty, and surface failure modes; produce QA artefacts (maps, plots, model cards, error analyses) that internal teams and clients can trust and defend. Partner with Engineering to take models into scalable, reproducible inference pipelines across millions of plots, and contribute to a strong research culture across Science, AI and Engineering - reviewed code, shared tooling, and active engagement with EO/ML literature. Degree in a quantitative field: environmental/earth science, computer science, physics, maths, engineering, or similar. 3+ years of applied machine-learning experience, including time spent in an industry, product, or startup setting i.e. shipping models. Expertise in geospatial Python tooling: rasterio, xarray, geopandas, GDAL, and the STAC ecosystem. Hands-on experience training, evaluating, and debugging ML models across the modern Python stack - deep learning (CNNs, U-Nets, vision transformers) using PyTorch, as well as classical methods (gradient boosting, random forests) with scikit-learn. Demonstrable experience with remote sensing data (optical, SAR) and an understanding of the sensor-specific quirks that matter for modelling. Comfortable with Git, cloud compute (AWS or similar), and collaborative codebases. Clear written and verbal communication: can explain modelling choices, uncertainties, and trade-offs to scientific and non-scientific stakeholders. Domain exposure: deforestation, land-use change, biomass / canopy-height estimation, climate risk, or supply-chain transparency. Experience using EO foundation models as a downstream substrate - building lightweight classifiers, regressors, or similarity-search workflows on top of frozen embeddings (e.g., AlphaEarth Foundations, Clay, etc). Comfortable fine-tuning or pretraining where the case justifies it. Multi-modal fusion experience - combining optical (Sentinel-2, Landsat), SAR (Sentinel-1, PALSAR), and/or LiDAR (GEDI, ICESat-2) into unified predictions. Time-series modelling for environmental change detection - temporal transformers, sequence models, or self-supervised approaches. Comfortable building with AI-assisted development tools as a core part of your workflow. Familiarity with Google Earth Engine, Microsoft Planetary Computer, AWS Open Data, or other STAC-based catalogues. Experience working in cross functional teams working alongside solutions architects, sales, and engineering. You’ll report to the Science Team Lead and partner day-to-day with the wider Science Team while working closely with Engineering and Product teams. This is a Science Team role with regular touch points with Engineering and Product - the interview process gives you a chance to meet your immediate team and a couple of key partners. Recruiter screen (30 min) Hiring manager (45-60 min) Science Team technical interview (45 min) Engineering and/or Product interview (30 min) Potential in-person problem-solving session with the team - designed to be interactive and a glimpse of what being part of the Science Team will be like! Accessibility: Tell us if you need adjustments, we’ll accommodate. What you’ll gain at Treefera Build something that matters - join a high-growth climate-tech company applying AI, satellite data and quantitative modelling to real-world challenges across global supply chains, commodities and carbon. Work on complex, meaningful problems - develop systems that balance risk, resilience, compliance and sustainability, giving organisations a genuine information advantage at global scale. Collaborate with exceptional people - work alongside scientists, engineers and operators who are leaders in their fields, combining academic rigour with practical, cross-functional product delivery. Ship and grow in a high-trust environment - experiment, iterate and take thoughtful risks in a team that values autonomy, creativity and continuous learning. Develop your craft - dedicated space and time to grow your skills toward mastery, tackling technically demanding challenges that push the boundaries of applied AI and environmental data. Be rewarded for your impact - competitive compensation, equity options, meaningful benefits, and the opportunity to help shape the future of AI-powered risk and environmental intelligence. Diversity, Equity & Inclusion Bold solutions come from diverse teams. Please refer to our DEI & EEO commitment below. If you need any accommodation during the application process, we’re here to support you. Learn more about how we think and build Many of our engineers, scientists and product leaders share their thinking publicly. Explore the Treefera _ for technical deep dives, research and product perspectives. Privacy notice By applying to Treefera, you consent to the processing of your personal data in line with our _.

The role We encourage collaborative engineering practices rooted in Extreme Programming (XP) such as pair programming, making overlap with our UK-based engineers highly preferable (GMT+0 to GMT+2). We are a market-leading nature tech company on a mission to make nature measurable and actionable at scale. Our platform delivers vital insights on species, habitats, and nature-related risks, helping businesses across sectors - from mining and renewable to CGS and financial services - make smarter, more sustainable decisions. As global leaders in biodiversity monitoring and eDNA analysis, we are transforming how nature is measured. Our technology makes biodiversity insights accessible, actionable, and scalable, powering change from conservation to industry. Recognised as Earthshot Prize Finalists 2024, BloombergNEF Pioneers 2024, World Economic Forum Technology Pioneers 2024, and part of the TechNation Future Fifty 2025, we are shaping the future of how organisations understand and protect nature. We are looking for an experienced full-stack Product Engineer to join our collaboration-first product engineering team. You'll join a team of seasoned engineers delivering end-to-end features across the entire stack that powers our transformational biodiversity platform. You won't just be writing code; you will be solving user problems, shaping the roadmap, and taking features from an initial concept through to a live product. Design, build and scale geospatial systems. Collaborating with domain experts across Engineering, Product, Data, Bioinformatics and Nature Strategy, you will translate complex requirements into seamless user experiences. You will help define and run experiments, practice rigorous iteration, and incrementally enhance our ability to build and evolve systems that store, compute and visualise geospatial and other nature-related datasets such as eDNA and bioacoustics. Influence technical strategy and make decisions in ambiguity. You will drive foundational work across product and engineering, helping our teammates navigate various data engineering challenges, guiding technology choice and adoption of best practices. This includes designing and delivering scalable, cloud-based systems and leveraging AI to accelerate development. Contribute to the sustainable delivery of quality software. You will produce well-tested, maintainable code across infrastructure, backend and frontend — using Go or Python on the back-end and React and TypeScript on the front-end — balancing quality with impactful velocity, through both pair programming and peer-reviewed development. Champion engineering fundamentals. You will help the team continually raise the bar through code review, open discussion, and by leading by example. When we move fast and keep scope lean, it's the scope that shrinks, rather than the quality. Support our customers. We believe in owning what we build. You will help define what success looks like for the features you ship, setting the right targets, alerts, and thresholds to catch problems before our customers do. You will participate in an on-call rotation to support issues as they arise, and actively work to reduce the repetitive, manual toil that slows the team down and limits our impact. Support our teammates. You will have ample opportunities to mentor other engineers as they build their skills and experience. You'll do so through pair programming, code reviews, daily communication with your team, giving and receiving thoughtful feedback, and helping your teammates grow. You have a strong sense of what good engineering looks like and can articulate and coach that, helping the team build not just their technical skills, but their engineering instincts. About you What you'll bring A love of nature. We are mission-driven, with a deep affinity for the protection of biodiversity and natural systems. To make hard things happen, our team puts mission over ego. You find purpose not only in your own growth but in stopping climate change and biodiversity collapse. Experience with scalable data processing. You have led the design and implementation of concurrent, scalable and reproducible data workflows, are familiar with the challenges of data-intensive systems, and can advocate for best practices across pipelines and distributed compute. The systems you build enable rapid feature development without accumulating the debt that slows teams down. Familiarity with geospatial concepts. You may not be a geospatial expert, but you're comfortable discussing the differences between vector and raster data and applying these to the design of geospatial data pipelines and storage. A strong sense of collaborative teamwork. You believe that the best outcomes come from working closely together, not just splitting tickets and syncing up at standup. Through pairing, shared ownership, and genuine investment in your teammates' growth, we deliver better software, spread knowledge more effectively, and build a team where everyone can do their best work sustainably. You act as a bridge between technical and non-technical stakeholders, bringing clarity to requirements and trade-offs, and helping everyone move in the same direction. Technical fluency across the stack. You are comfortable working across the full stack, from back-end data pipelines and APIs through to intuitive, responsive front-end interfaces. You go where the work is, not where your comfort zone is, and you care about the experience as much as the implementation. Comfortable supporting production software. You have experience shipping to production, investigating and triaging issues in deployed code, and have opinions about making on-call an effective and positive experience. When you ship, you ship with confidence, delivering tangible value and keeping the team moving forward. An adaptive and curious mindset. You are comfortable pivoting in response to new insights and don't wait to be pointed at problems. You proactively identify opportunities for improvement and take ownership of driving them forward, because you care about the product, not just your slice of it. A focus on customer value. You will look beyond the ticket and have the experience to keep things simple, revisit scope, and work in small iterations — never losing sight of the problem you were meant to solve. You are interested in how customers use the platform and are willing to iterate rapidly based on feedback and usage data. Clear and open communication. We consider clear and thoughtful communication a fundamental engineering skill and a strong predictor of future impact. You demonstrate this in your contribution to documentation, collaborative problem-solving, and willingness to give and receive feedback. Don't hesitate to apply despite only ticking some of these boxes. Our strength is in our diversity, and we look for individuals who bring something new to the team, whether it’s background, skill, or perspective. Though we are on the lookout for a Senior engineer, a pathway to Staff level exists for engineers who are willing and able to take on the responsibilities and expectations that come with it. We recommend discussing this pathway with the Head of Data and Engineering and Lead Software Engineer during the interview. What's in it for you Get up every morning knowing that you’re working to stop climate change and biodiversity collapse Competitive Salary Flexible work arrangements Opportunities for professional growth in a high-scaling tech environment. Benefits package (for those UK-based, international benefits will vary) including salary sacrifice pension scheme prioritising sustainability; life assurance; Enhanced annual leave; Cycle to Work Scheme; enhanced family friendly policy; £250 L&D budget to use on our Learning platform, Learnerbly. Why us? At NatureMetrics diversity and inclusion are part of our DNA. Together, we continue to build an inclusive culture that encourages, supports, and celebrates the diverse voices of our employees. It fuels our innovation and connects us to the communities we work with. Our values leave no space for stereotypes. We are all unique and pull together for a common purpose. About us Backed by ambitious investors, we're on a mission to make biodiversity measurable at scale to underpin global goals and accelerate finance into nature. NatureMetrics combines tech and AI to derive simple insights from the full complexity of nature on the ground. We're a dynamic team passionate about nature and biodiversity and we take immense pride in our work and our impact. Join us on this journey!

SenseOn is looking for a Forward Deployed Engineer to sit at the intersection of security engineering, software development, and customer success. This is one of the broadest and most impactful technical roles in the business, you will be the person who makes SenseOn work, in the real world, for real customers. As a Forward Deployed Engineer, you will embed directly with customers to deploy and configure the SenseOn platform, develop custom integrations, and ensure that every customer derives measurable security value as quickly as possible. You will own the technical outcome, supporting technical sales and working on technical delivery to enable SenseOn to be effective. This is not a pre-sales or demo role. You support both new business engagements and existing customer renewals, providing the technical depth to prove and quantify the value SenseOn delivers and ensuring that as deployments grow more complex with expanded log ingestion, customers always feel in safe hands. You will report to the VP of Technology and work closely with the Security Operations, Customer Success, Sales Engineering, and Product teams. Location: UK Travel: Approx 25% to customer sites Experience: 3 to 6 years+ The Role in Detail You will own the full technical lifecycle of a customer deployment, from initial architecture review through to live production, ongoing integration development, and long-term platform health. You will build cloud integrations. You will write and tune detection rules in SIEMs. You will debug customer environments. And you will ensure that every customer you touch becomes a SenseOn advocate. Your impact does not stop at deployment. As SenseOn’s log ingestion capability grows and deployments become more complex and wide ranging, you will work with the Customer Success team to build the technical business cases that win renewals and drive expansion bringing the same engineering rigour to proving value as you do to deploying it. • Lead end-to-end SenseOn platform deployments and complex log ingestion rollouts without customer disruption., • Conduct architectural reviews to define deployment strategies and identify integration opportunities., • Own the post-sale technical relationship into steady-state operations, delivering against technical success criteria tied to quantifiable security outcomes., • Travel to UK and international customer sites approximately 25% of the time., • Provide the technical evidence base and build business cases for renewals and expansions, translating platform telemetry and incident response data into clear customer outcomes., • Proactively health-check environments, close technical gaps, and resolve visibility issues ahead of renewal conversations., • Collaborate with Sales Engineering to ensure continuity from pre-sale technical validation through to post-sale deployment., • Write production-quality software to build and maintain integrations across third-party security tools, SIEMs, identity platforms, and AWS, Azure, and GCP environments., • Contribute reusable connectors to the SenseOn integration library and create custom automation to optimise security operations workflows., • Work confidently across backend languages (Python preferred; Go, JavaScript, and Bash valued) utilising RESTful APIs, webhooks, and data pipeline patterns., • Write, tune, and maintain high-fidelity, low-noise SIEM detection rules by translating threat intelligence and attacker behaviour., • Map coverage to the MITRE ATT&CK framework to address visibility gaps, and develop new detection logic with Security Operations., • Iterate on rules post-deployment to reduce false positives, and provide expert guidance to customers regarding their detection strategy and risk posture., • Develop deep relationships with customer security leadership, acting as a trusted adviser across their security architecture., • Proactively mitigate adoption risks, resolve deployment blockers, and conduct structured onboarding from platform fundamentals to advanced threat hunting., • Monitor deployed environment health, address technical drift, and translate field experience into actionable product feedback internally., • Partner with Sales Engineering on Proof of Value (POV) engagements, providing technical credibility to differentiate SenseOn., • Contribute to bespoke technical demonstrations, architecture proposals, and solution designs for complex prospects transitioning from legacy platforms or traditional SIEM solutions., • Act as a direct conduit between the field and product teams, raising well-evidenced bugs, feature requests, and detection improvements., • Participate in User Acceptance Testing (UAT) for new platform releases to provide field-informed quality assurance., • Identify cross-environment patterns to highlight new detection opportunities or platform capability gaps for the analytics backlog. Essential • 3–6 years of experience in a technical cybersecurity role, ideally spanning Security Operations and an engineering or customer facing function., • Demonstrable software development capability, you must be able to write, review, and deploy code in a production context. Python is strongly preferred., • Proven ability to write and tune detection rules in one or more SIEM platforms (e.g. Splunk, Microsoft Sentinel, Elastic, QRadar). You are comfortable translating threat scenarios into detection logic and iterating on rule quality based on operational feedback., • Hands-on experience building and troubleshooting integrations with cloud platforms (AWS, Azure, or GCP), REST APIs, and common security tooling including SIEMs, EDRs, XDRs, and NDRs., • Strong understanding of networking fundamentals, operating systems (Windows and Linux), and identity and access management concepts., • Experience deploying or operating software in containerised environments (Docker, Kubernetes)., • Excellent written and verbal communication skills, with the ability to engage credibly with both technical engineers and non-technical stakeholders up to C-level., • Based in the United Kingdom with the right to work in the UK. Highly Desirable • Prior experience in a Forward Deployed Engineer, Customer Success Engineer, or Technical Account Manager role at a security or SaaS company., • Experience supporting customer renewal engagements from a technical perspective — building business cases, evidencing value, and closing coverage gaps ahead of renewal conversations., • Familiarity with log ingestion at scale, including the operational and architectural challenges of onboarding diverse log sources across complex enterprise environments., • Experience with CI/CD pipelines, Infrastructure-as-Code (Terraform, Ansible), and modern DevSecOps practices., • Exposure to machine learning or AI-driven security analytics platforms., • Relevant industry certifications such as CISSP, AWS Solutions Architect, GCIH, or equivalent., • Experience supporting or replacing incumbent security platforms (e.g. Darktrace, CrowdStrike, Splunk) within enterprise customer transitions. Within your first 90 days, you will have completed at least one end-to-end customer deployment, established yourself as the technical lead for a portfolio of accounts, and shipped at least one integration adopted by a customer in production. Within 6 months, you will be leading complex multi-environment deployments independently, supporting renewal engagements with clear technical business cases, and have contributed meaningful detection rules and integrations to SenseOn’s shared library. Within 12 months, you will be shaping how SenseOn approaches deployment and customer value quantification at scale, informing product roadmap decisions, mentoring more junior team members, and owning the technical success of some of SenseOn’s most strategic accounts. What We Offer • Competitive salary commensurate with experience, • Unlimited holiday allowance, • Hybrid working model with flexibility around customer commitments, • Bi-annual career progression review, • Personal learning and development budget, • MacBook and all necessary tooling provided, • Enhanced pension scheme, • Private healthcare through Vitality, with rewards and discounts Belong at SenseOn At SenseOn, we define Talent as employees who are customer obsessed and pursuing excellence. They are courageous, good people, doing good things, powering our mission. If this resonates with you, then you will always belong. Nothing else matters. We are an Equal Opportunity Employer and do not discriminate against any qualified employee or applicant. Difference is what makes us stronger.

Fully Remote (UK based) | Competitive Salary + Bonus + Generous Equity | B Corp Certified TrustedHousesitters is a fast growing, direct-to-consumer marketplace that is redefining pet care and travel. Here at TrustedHousesitters, we’re on a mission to make travel work better for pets, for their people, and for the global community of animal lovers who look after them. We’ve got big plans on becoming the world’s most-loved travel solution for pet people. We’ve built something pretty special: a trusted place where pet owners and sitters connect to keep pets happy at home while their humans explore the world. We’ve already grown into a global community with members in over 140 countries, a product people genuinely love, and a team of more than 100 brilliant humans powering it all. But we’re only just getting started. Our goal? To grow to 1 million members and make TrustedHousesitters the world’s most-loved travel solution for pet people. At the moment, a sit starts every two minutes somewhere on the planet. We want that to be every single minute and we know the only way we’ll get there is with the right people in the right roles. The right people in the right roles will shape our future. So, here’s the big question: Could that be you? Fifty million people in the UK and US alone could be TrustedHousesitters members. Around forty thousand visit us every day. How we present our product, and embed trust to our prospective new members to improve conversion is one of the most interesting analytical challenges for us right now - and this role sits right in the middle of it. You'll own the analytics for our new member revenue product squads. Own the funnel, own the experiments, own the recommendations. You'll be the person who doesn't just explain what happened in the data - you'll have a point of view on what to do about it. We're looking for someone who goes looking for the questions nobody's asked yet. • Own the growth analytics for our new member revenue squads - acquisition funnel, conversion, activation, the works - and build a picture of what's actually driving (or blocking) member growth Spot opportunities in the data before anyone asks you to look. Turn them into recommendations that change what gets built, not just what gets reported Lead instrumentation on new features - defining tracking, success metrics, and guardrail metrics before anything ships, not after Design and run A/B and multivariate experiments end-to-end: from hypothesis through to decision-ready insight. Set the standard for how experimentation works across your squads Build the dashboards and self-serve reporting that means stakeholders can answer their own questions - and you spend less time running the same queries every Monday Challenge assumptions. Act as the analytical voice in the room when product and commercial decisions are being made. Be the person who's comfortable saying "I don't think that's what the data shows" Mentor other analysts and help raise the analytical bar across the team - in SQL, in experimentation, in how we tell a story with numbers • Solid product or growth analytics experience in a subscription, marketplace, SaaS, or platform business - where the funnel is complex and the metrics actually matter The ability to own end-to-end analysis for a product area, from scoping through to recommendation, with minimal direction. Advanced SQL. You're not reaching for documentation for standard analytical patterns. dbt experience is a genuine plus Solid understanding of experimentation - hypothesis design, A/B and multivariate testing, statistical significance, the places where naive analysis goes wrong. And experience applying it, not just describing it Fluency in growth and product metrics: conversion, activation, churn - and how those numbers connect to things the business actually cares about Strong data storytelling. You can explain what the numbers mean to a product manager, and also to a CFO. Different rooms, different language, same rigour Product instincts. This isn't just an analytics role. We want someone who generates ideas, not just validates them Experience with event tracking and CDPs - Segment, Amplitude, Mixpanel, or similar Python or R for more advanced modelling or automation Experience integrating AI tools into analytical workflows in a way that's actually made a difference - not just "I've used ChatGPT" We know this isn't what you'd see in most job ads - but TrustedHousesitters isn't most companies. Trust, transparency, and honest feedback aren't just things we say; they're genuinely how we operate, every day. So rather than leaving you guessing if things don't work out, we'd rather give you what you need to make a great decision upfront about whether this opportunity is right for you. With that in mind, here are a few things worth considering before you hit apply. You're most comfortable when the question is handed to you. This role needs someone who goes looking for the question. If your best work tends to happen when a stakeholder has defined the problem clearly and you're building the analysis to answer it - that's a genuinely valuable skill, just not quite the shape of this one. You think of experimentation as a process to follow, not a discipline to own. We're not looking for someone who can run an A/B test to spec. We're looking for someone who'll push back when the experiment is designed badly, mentor others through the parts they get wrong, and build the frameworks that make the whole team better at it. You're happiest when the business is stable and the roadmap is fixed. THS is growing fast and the product is evolving constantly. The analytical picture shifts. Priorities shift. That's the job - and if predictability is important to how you do your best work, it's worth naming that upfront. If you're reading this and one of those points resonates, and you're sitting there thinking "that's me, but I know I can make it work" - we'd love to hear why. Send a Cover letter. There's a human at the heart of every decision we make here (hi!) - and we'll always take the time to review applications for anyone who wants to join us. We value your time and aim for a transparent, efficient process: Intro call (~20 mins) - with the Talent team. A two-way conversation: we'll tell you more about the role and THS, you tell us about your background and what you're looking for Hiring manager interview (~30 mins) - with the Product Analytics Lead. Covering your analytical experience, approach to experimentation, and how you think about growth problems Take-home task (~1-.5 hours) - a short analytical exercise. We'll share a brief in advance and give you time to work through it at your own pace £65,000 - £70,000 a year • Each year, you’ll get a Premium TrustedHousesitters Combined membership which includes benefits like free airport lounge passes, Sit Cancellation Plan and Home and Contents Plan, plus five Premium memberships to gift to friends and family, • Our team can work remotely from as many house sits as they like, and we contribute up to £500 per year towards travel costs to and from sits • Find a rescue pet to join your family and we’ll cover the adoption fees, as well as “pawternity” to help your pet settle into their new home, • SimplyHealth healthcare cash plan, • Bupa Health Insurance and Dental Insurance plan, • Specsavers eyecare scheme, • Weekly virtual yoga sessions, • Optional enrollment onto our Trusted Giving scheme, which includes employee giving via Charities Trust and 2 days paid annual volunteering allowance, • Work fully remotely from anywhere in the world - as long as you follow compliance as a UK tax resident, • Get £200 to spend on home office equipment each year + Macbook and Apple accessories when you start, • Access to Spaces co-working locations across the globe, • We host an all-expenses-paid meetup each quarter and fund team events (remote or in-person) throughout the year, • We cover the costs of personal development resources and have regular time set aside for learning and growth, • Depending on your role within the business, you’ll have the option to customise your work hours to better align with your personal schedule, • 25 days off per year, plus bank holidays and festive closure between Christmas and New Year (36 days + Christmas Day for some roles), • Competitive salary which is reviewed twice a year, • Generous equity package, • Discretionary 10% quarterly bonus scheme, distributed quarterly, • Pension scheme: 5% from you as an employee and 3% from TrustedHousesitters, • £500 recruitment referral bonus If you're ready to join us on our mission to become the most loved pet travel solution, we'd love to hear from you! In your application, please feel free to note which pronouns you use (For example- she/her/hers, he/him/his, they/them/theirs, etc). At the heart of our team are a mix of diverse backgrounds. Here at TrustedHousesitters, we’re committed to the equal opportunities policy throughout the interview process and selection. Offers of employment into TrustedHousesitters are based solely on individual merit, qualifications, and the person's professional suitability. Gender identity, sexual orientation, marital or civil partnership status, colour, race, nationality, ethnic or national origins, religion or beliefs, age, mental or physical disability, medical condition, pregnancy or maternity status, or any other protected characteristics do not enter into our decision-making process.We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

Job Title: Data Engineer Location: UK Job Type: Full-time Scrumconnect is a leading force in technology consultancy, proudly contributing to over 20% of the UK’s most significant citizen-facing public services. Our award-winning team has made a substantial impact, delivering more than 64 services in the past two years alone. This work has not only reached over 50 million citizens but also achieved considerable savings for the taxpayer, amounting to over £25 million. At Scrumconnect, we foster a community of talented consultants who thrive on collaboration, sharing knowledge, and continuous learning to address and solve complex challenges. Our mission is to combine advanced software engineering, human-focused design, and data-driven insights to deliver unparalleled service to our clients. We are looking to fill the position of Data Engineer to help develop and maintain data products. Data Engineering teams are responsible for the delivery and operational stability of the data products built and provide ongoing support for those products. Data Engineers work within, and contribute to, the overall data development lifecycle process as part of multi-functional Agile delivery teams focused on one or more products. Role: Design, build, and operate simple, repeatable ETL data pipelines within distributed processing environments and cloud platforms, as well as localized single-node processing environments. Develop and produce prototyped then productionized code that can be deployed across a range of ETL, data validation, and other data production processes. Develop understanding of the native tooling of one or more of: GCP, Azure, AWS. An intermediate or better level coding in one or more mainstream coding languages (i.e., Python, SQL, Java, Scala, and R), and critically review the code of other data engineers. Develop code for a range of data products including data matching, rule development, scans, operational outputs. Participate in development and maintenance of in-house code libraries. Undertake unit testing to support common code development. Review business requirements to ensure they are clear and robust, and transform requirements into reusable production-ready code and/or effective data models. Understand the key principles of database design and be able to resolve technical problems in databases, data processes, data products, and services as they occur. Initiate actions, monitor services, and identify trends to resolve problems. Apply correct techniques in normalizing data and building robust relational structures in database products. Undertake basic data analysis, for example, for data profiling, QA, or problem resolution. Support queries from end users on data quality issues affecting data production; communicate issues and blockers to develop solutions. Undertake source system analysis and data profiling to confirm data quality and ensure accurate metadata. Understand relevant data sources, tools, and systems. Work with experts to develop validation frameworks for both simple and complex data sources. Communicate with customers, for example, to update on progress or confirm requirements. Using a working knowledge of cloud data engineering tools in assisting with the development of data pipelines, products, and automation processes. Work with other team members in development of tool performance logging and monitoring. Work with other team members in applying engineering team and community best practice in data products and pipelines. Experience predicting and advising on technology changes in the engineering toolset(s) and platform(s) you work on. Work with the team in implementing the transition to modern data platforms including Data Warehouse, Lakehouse, across the data products, pipelines, and processes you are responsible for. Engage with other professional communities (Data Science, Architecture, etc.) to identify emerging and cross-community issues affecting your role and escalate as necessary. Describe technical, data, pipeline, and production issues to colleagues of different specialisms. Communicate within the team and across teams to monitor expectations around delivery of data engineering, products, and pipelines, blockers, priorities, and issues. Escalate issues and blockers in delivery proactively. Familiar with developing data pipelines and products for very large volume 'big data' series using a range of native engineering tools and practices and coding approaches. A working knowledge of engineering standards across a platform and native toolset. Experience implementing these standards in the day-to-day role and keeping outputs up-to-date with these. Typical Data Engineering Experience required (5+ yrs): Knowledge and experience of Azure/AWS Cloud data solution provision. Proficient in SQL. Ability to develop and deliver complex visualisation, reporting and dashboard solutions using tools like Power BI. Enterprise-scale experience with ETL tools (Informatica and or similar). Experience of data modelling and transforming raw data into datasets and extracts. Experience of working in a large project /scale complex organisation and knowledge of migrating legacy capabilities. Experience in Agile. Ability to analyse and collect information and evidence, identify problems and opportunities, and ensure recommendations fit with strategic business objectives. Experience of building team capability through role modelling, mentoring, and coaching. Ability to manage relationships with non-technical colleagues and can work in a collaborative, inclusive way. Ability to design, write, and operate ETL pipelines, in the context of distributed processing, applying coding, data, and documentation standards, in the language required by the business area. Understanding of the principles of data processing in a distributed and or cloud platform, and ability to use this understanding to ensure robust coding in a distributed or cloud environment. Able to write clean, efficient and well documented code for data processing tasks to a specification. Able to use Git for code version control to pull and push and review merge requests for team and own code. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Ability to undertake simple data and code analysis for effective quality assurance and to resolve processing issues. Experience of one or more programming/coding languages listed: Python/PySpark, SQL, Proc SQL, NoSQL, MySQL, SQLite, Spark SQL, Hive SQL, PostgreSQL, SAS, SAS E-guide, Scala, RegEx, Java, R Investigate problems in systems, processes and services, with an understanding of the level of a problem, for example, strategic, tactical or operational. Undertake data profiling and source system analysis for data evaluation, issue resolution or data standardisation. Use metadata repositories to complete complex tasks such as data and systems integration impact analysis. Good knowledge of database structures, practices, principles of database integrity etc. Basic knowledge of applying database principles and SQL coding across a range of platform database and data querying tools (i.e. SQL Server, Cloud SQL, Big Query, Hive, Athena etc.) Show an awareness of opportunities for innovation with new tools and uses of data. Experience in more than one of the following tools is required for Engineers engaging in BI development: Plotly, R Shiny, Tableau, QlikView/Qlik sense, Power BI, SAP, Business Objects, MicroStrategy Experience of several of the following tools: NiFi, Hbase, Bash, Assist, Putty, Neo4J, Spark , Kafka, HDFS, Oozie, Git Hub, Unix, Hadoop, Impala, DoJo, Flume, Elastic, Logstash, Kibana, Airflow, Glue, Big Query, Athena, CML, Hive, Informatica, CuteFTP Ability to explain and communicate technical concepts in non-technical language. Explain the types of communication that can be used with internal and external stakeholders, and their impact. Design, build and test data products based on feeds from multiple systems, using a range of different storage technologies, access methods or both. Able to explain and implement the concepts and principles of data modelling. Ability to create and run simple unit tests. Desired Qualifications Certifications in AWS, Azure, Databricks, or related technologies. Example _ Experience with public sector data initiatives and compliance requirements. Knowledge of machine learning and artificial intelligence concepts. Your working time at Scrumconnect will be split between multiple locations, including from our HQ and hub locations, client site or home. Travel requirements vary in frequency and take into account requirements of your work, our clients and the team. We welcome candidates from all identities, attributes and backgrounds to thrive with us. The diversity of our people should be reflected in the impact we deliver. Join us at Scrumconnect, where your highly demonstrable skills and expertise will drive the future of user-centred design in public services.

QA Engineer/Analyst (Platform Engineering) SC CLEARED Location: Remote working with occasional travel Job Type: Contract - 12 months Rate: £550 - £650 per day (Inside IR35) As a QA Engineer/Analyst within our clients Platform team, you will play a pivotal role in ensuring the quality, reliability, and security of critical systems and platforms that support national defence operations. You will collaborate with cross-functional teams to design, implement, and maintain robust quality assurance processes, ensuring compliance with industry standards and policies. QA Engineer - Job Requirements Essential Skills & Experience: Proven experience as a QA/Test Engineer with a focus on both application and infrastructure testing. Strong background in automated testing frameworks (e.g., Selenium, Cypress, Playwright, or similar). Solid understanding of quality assurance methodologies, tools, and processes. Experience validating Infrastructure as Code (IaC) changes (e.g., Terraform, Ansible, CloudFormation). Proficiency in working with CI/CD pipelines, particularly within OpenShift or similar containerized environments. Ability to define and implement quality gates in CI/CD workflows. Familiarity with DevSecOps practices, including security considerations in testing and release processes. Strong scripting skills (e.g., Python, Bash, Groovy, or similar) to support test automation and pipeline integration. Comfortable working in agile and fast-paced development environments. Excellent analytical, problem-solving, and communication skills. Desirable: Experience with container orchestration and monitoring tools (e.g., Kubernetes, Prometheus, Grafana). Exposure to cloud platforms (AWS, Azure, GCP) in a QA/testing capacity. Knowledge of static code analysis tools and vulnerability scanners (e.g., SonarQube, Snyk). ISTQB certification or equivalent is a plus. Due to the timescales of the project and organisation it sits within, the successful candidate will need to currently hold SC Clearance to be successful as the role will be an immediate start. Please consider this when applying for the position. If you are interested in the role and would like to apply, please click on the link for immediate consideration.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a _ (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a _ company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in _, committed to making a positive impact on its customers, employees, and communities. The Role Turn your data science skills into tangible impact! Develop innovative services that make a difference. We're a rapidly growing company looking for teammates to solve complex problems and bring solutions to life in large-scale software products. The Veeva Link engineering team seeks Data Scientists and Machine Learning Engineers to participate in all aspects of building and operating AI language features that help our global clients bring products to market faster. \n What You’ll Do • Work within a cross-functional application team to build scalable language services in the range of NLP, NLU, and NLG for live SaaS products, • Help develop and groom an experiment backlog, • Build models that solve real-world problems, • Optimize models for production throughput and uptime requirements, • Automate deployments, testing, and monitoring (MLOps) Requirements • 5+ years of developing data & analytics products like sentiment analyzers, translation engines, summarizers, or other language services, • Expert in Machine Learning, Modeling, and development with Python, • Expert in MLOps with at least one platform, e.g.: MLflow, Kubeflow, or end-to-end automation with SageMaker services, • Ability to mentor others and work independently, • Strong communication skills Nice to Have • Production experience with any of the following is a plus: GenAI, LLMs, Recommendation Engines, AWS offerings for AI and ML including SageMaker, Bedrock, Lex, • Knowledge of relevant regulations in AI/ML and incorporating compliance into MLOps processes, • Bachelor’s degree or higher in computer science, engineering, or information systems \n #LI-Remote Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at _.

Azure DevOps Engineer Our Manchester based client is expanding rapidly and are now seeking a skilled DevOps Engineer to optimise and scale their Azure-based infrastructure, while leading on automation, security, and performance across the software development lifecycle. My client places their people and product at the heart of everything they do. With a collaborative, open culture, ideas are encouraged from all levels. The working environment is friendly, inclusive, and innovative - with regular socials, flexible working, and a strong focus on continuous improvement and quality delivery. Key Responsibilities • Design, build and maintain CI/CD pipelines using Azure DevOps, • Automate build, test, deployment and infrastructure provisioning processes, • Manage Azure resources using Terraform, Bicep or ARM templates, • Support applications running in Azure App Services, Function Apps and other services, • Integrate tools for automated testing, code quality and security (e.g. SonarCloud, Snyk), • Set up monitoring and incident response with Azure Monitor and Application Insights, • Manage secrets and access control to support secure cloud practices, • Work closely with developers and stakeholders to deliver scalable, reliable solutions Skills and Experience: • 3+ years' experience in a DevOps or Cloud Engineering role, • Practical experience with Azure DevOps and CI/CD pipelines, • Proficient in scripting languages such as PowerShell, Bash or Python, • Hands-on experience with Docker and containerisation, • Version control experience with Git or Azure Repos, • Understanding of Agile/Lean methodologies, • Familiar with tools for code quality and security, • A proactive and detail-oriented mindset Desirable: • SaaS industry experience, • Penetration testing or security certification, • Experience using Terraform, Bicep or ARM templates, • Familiarity with blue/green and canary deployment strategies Benefits • Competitive salary, • Flexible working options, • 25 days’ holiday plus public holidays and your birthday off, • Private medical and dental insurance, • Life assurance and enhanced parental leave, • Ongoing professional development Interested? Please Click Apply Now! Azure DevOps Engineer

Our Krakenites are a world-class team with crypto conviction, united by our desire to discover and unlock the potential of crypto and blockchain technology. What makes us different? Kraken is a mission-focused company rooted in crypto values. As a Krakenite, you’ll join us on our mission to accelerate the global adoption of crypto, so that everyone can achieve financial freedom and inclusion. For over a decade, Kraken’s focus on our mission and crypto ethos has attracted many of the most talented crypto experts in the world. Before you apply, please read the page to learn more about our internal culture, values, and mission. We also expect candidates to familiarize themselves with the Kraken app. Learn how to create a Kraken account . As a fully remote company, we have Krakenites in 70+ countries who speak over 50 languages. Krakenites are industry pioneers who develop premium crypto products for experienced traders, institutions, and newcomers to the space. Kraken is committed to , , and through our products like , , , and _. Become a Krakenite and build the future of crypto! Join our Exchange team and start building the internet of money. The Exchange team is responsible for everything to do with the trading backend services such as the matching engine, market data gateways, internal and external APIs, margin systems and various other trading services. The team is located globally and responsibilities are split into sub-teams, working with various tech stacks. Our teams code in C++, Go, Rust, and Python, depending on the product they are contributing to within Kraken. This role sits within the Trading Technologies sub-team, which owns the messaging and transport layer at the core of our trading infrastructure — built on Aeron for ultra-low-latency, reliable UDP messaging. You'll work directly on the systems that move market data, orders, and trade events across our exchange at microsecond scale. Develop and maintain core framework and key software components for the Kraken trading engine, with a fous on the Aeron-based messaging transport layer Design and implement low-latency, high-availability messaging solutions across unicast, multicast, and IPC transport paths Tune and profile the full system stack — CPU pinning, NUMA topology, kernel bypass, receive buffer sizing — to squeeze latency out of production infrastructure Build and extend Aeron Archive integrations for durable message replay and stream persistence Build and design solutions that mitigate risk, implement security, and protect both systems and data Write reusable, testable, and efficient code Collaborate with cross-functional teams and contribute to product roadmap accomplishment Work collaboratively on a distributed team, leveraging soft skills to effectively communicate and engage with stakeholders 5+ years experience working with modern C++ Prior experience in at least one of the following using Linux — distributed and/or highly-concurrent systems; low-latency and/or high-volume transaction environments Deep understanding of low-latency systems fundamentals: lock-free data structures, mechanical sympathy, cache-line discipline, busy-spin vs. park/wake tradeoffs Experience with Aeron or comparable messaging transports (e.g. Chronicle Queue, ZeroMQ, LMAX Disruptor) highly desirable Experience with UDP networking, multicast, and kernel-bypass techniques (e.g. DPDK, RDMA) a strong plus Familiarity with SBE (Simple Binary Encoding) or similar zero-copy serialisation formats a plus Experience profiling and optimising code (CPU, memory, network) — perf, flamegraphs, VTune, or equivalent High level of proficiency in Python, Rust, and SQL strongly preferred Demonstrated knowledge of order types, trading systems, and financial products is highly desirable Cryptocurrency/Blockchain familiarity highly preferable Proactive mindset with the ability to both prioritize tasks and adhere to aggressive deadlines BS in a technical or quantitative field Unless a specific application deadline is stated in the job posting, applications are accepted on an ongoing basis. Please note, applicants are permitted to redact or remove information on their resume that identifies age, date of birth, or dates of attendance at or graduation from an educational institution. We consider qualified applicants with criminal histories for employment on our team, assessing candidates in a manner consistent with the requirements of the San Francisco Fair Chance Ordinance. Kraken is powered by people from around the world and we celebrate all Krakenites for their diverse talents, backgrounds, contributions and unique perspectives. We hire strictly based on merit, meaning we seek out the candidates with the right abilities, knowledge, and skills considered the most suitable for the job. We encourage you to apply for roles where you don't fully meet the listed requirements, especially if you're passionate or knowledgable about crypto! We may ask candidates to complete job-related skills or work-style assessments as part of our hiring process. These assessments are designed to evaluate competencies relevant to the role and are applied consistently across candidates for similar positions. Assessment results are considered alongside other relevant information, such as experience and interviews, and are not the sole basis for any employment decision. As an equal opportunity employer, we don’t tolerate discrimination or harassment of any kind. Whether that’s based on race, ethnicity, age, gender identity, citizenship, religion, sexual orientation, disability, pregnancy, veteran status or any other protected characteristic as outlined by federal, state or local laws. Stay in the know _ _ _ _

Runware’s infrastructure is the foundation that enables our teams to deliver AI to the world. As DevOps Team Lead, you’ll turn complex, hardware-driven systems into streamlined, developer-friendly platforms. You’ll define how we automate deployments, orchestrate GPUs at scale, and observe workloads in real time. You’ll build systems that detect and recover from issues before users notice, and work closely with engineering and product teams to make shipping faster, safer, and more predictable. You’ll shape the foundation that lets teams move fast with confidence, building infrastructure that is dependable, observable, and designed to scale. You thrive at the intersection of infrastructure and innovation. You enjoy unravelling complex systems, tuning performance, and engineering reliability into everything you build. You lead through clarity and example, not process, and elevate the teams around you by simplifying the hard things. You take pride in building systems that are resilient by design and empowering the engineers who depend on them. You understand that reliability is never accidental; it is built through intent, consistency, and a culture that values doing things right. • Providing technical and people leadership to a small DevOps team, • Lead the design and operation of Runware’s infrastructure and orchestration systems, • Build automation and tooling to streamline model deployments, scaling, and hardware utilisation across distributed nodes, • Drive observability, alerting, and reliability practices to detect and resolve issues quickly and proactively, • Collaborate with engineers to optimise throughput, latency, and platform performance at every layer of the stack, • Develop and maintain infrastructure as code and deployment automation to ensure consistency and reproducibility across environments, • Establish and continuously evolve incident management, post-mortems, and reliability reviews as core engineering practices, • Mentor and coach engineers to think operationally, designing systems that fail gracefully and scale predictably, • Champion forward-looking improvements to our orchestration layer, hardware management, and overall infrastructure efficiency, • Have experience operating production systems on bare metal or hybrid environments such as HPC or GPU clusters, optimised for performance and low latency, • Are comfortable writing automation and systems tooling in Python, Go, or similar languages, • Understand container runtimes like Docker and containerd, and have built or worked with orchestration systems beyond Kubernetes, • Are fluent in observability and debugging practices across distributed systems, using logs, metrics, traces, and profiling to drive insight and reliability, • Care deeply about reliability, efficiency, and engineering quality, and know how to embed those values into team culture and everyday practice, • Thrive in fast-moving, evolving environments where impact is measured by how much better systems and teams perform over time We’re a remote-first collective, meeting in person twice a year to plan, brainstorm, celebrate wins, and enjoy some face-to-face time. We have core hours for cooperative working and calls, but outside of that your calendar is yours. Work the hours that let you perform at your peak while also building a healthy life. Our release cycles are fast and intense, but they’re followed by real downtime. After big pushes we expect the team to unplug, recharge, and come back ready & stronger than ever for the next leap. • Generous paid time off – vacation, sick days, public holidays, • Meaningful stock options – share in the upside you create, • Remote-first setup – work from home anywhere we can employ you, • Flexible hours – own your schedule outside core collaboration blocks, • Family leave – paid maternity, paternity, and caregiver time, • Company retreats – twice-yearly gatherings in inspiring locations Please note: We are unable to offer visa sponsorship in the UK at this time. Candidates must have existing right to work in the UK.

About the Role We're looking for a highly technical Solutions Engineer to help mobile and web developers build better user experiences. At Embrace, we're the only user-focused observability solution built on OpenTelemetry, providing frontend teams with the insights they need to understand real customer impact across 100M+ devices and growing. What You’ll Do • Represent Embrace as both an expert communicator and technologist, and help deliver an amazing customer experience, • Communicate directly with customers, product and engineering teams, and work together towards a solution to the task at hand, • Drive the technical integration strategy and execution for both prospects and customers, leveraging deep product expertise to create customized implementation approaches tailored to each customer's technical environment and business objectives, • Quickly root-cause, identify technical issues, and provide clear instructions to reproduce the problems or drive new product specifications, • Directly impact product direction by suggesting improvements for customers day to day, • Ensure that our process for surfacing bugs to Engineering is fast, efficient, and effective, • Improve collaboration with Sales and Customer Success by developing tools and enhancing documentation Our Ideal Candidate will have: • 3+ years experience in a Mobile Developer, Web Developer, Sales Engineer, or Solutions Engineer role at a B2B software technology company, • Experience with mobile or web development and eagerness to learn and improve your skills. Familiarity with iOS, Android and their development tools, • Working knowledge of Linux and/or Mac OS X command line, • Comfortable discussing code; ability to read and write code is a plus (Python, Java, Objective-C, Swift, Kotlin, or JS preferred), • A curiosity for how things work and the ability to apply your experience of using tools and resources to come to a resolution, • Excellent communication skills and comfortability writing and speaking with people to help them solve their issues, • High competency and low ego, you have a passion for helping people both inside and outside of your company, • Willingness to travel for both customer-facing activities (technical workshops, integration support, relationship building) and quarterly internal team collaboration gatherings, • Diploma in Computer Science, Mathematics or related discipline preferred On target earnings (OTE) for this role are $130,000-$160,000. Actual compensation may vary based on level, experience, and skillset as assessed in the interview process. Benefits include equity and other benefits as detailed on our careers page. Why Join Embrace? As the only user-focused observability solution built on OpenTelemetry, Embrace delivers crucial insights across both DevOps, web and mobile teams to illuminate real customer impact – not just server impact – to deliver the best app experiences. Customers like The New York Times, Marriott, Masterclass, Home Depot, and Cameo love Embrace’s observability platform because it makes extremely complicated and voluminous data actionable. Our cultural values highlight how we seek to improve as individuals, team members, and a company each and every day.

AI Engineer – Intelligent Agents (Audio Focus) Are you ready to shape the next frontier of AI-powered audio experiences? Our client is launching an AI Studio to transform how we deliver curated music and intelligent audio services to businesses across the globe. We're looking for a forward-thinking Lead AI Engineer to lead the development of intelligent agents that supercharge our music curation, content ingestion, and customer service capabilities. This is your chance to combine cutting-edge AI innovation with the creativity of commercial audio - creating tools that augment human expertise, not replace it. What You’ll Do AI Agent Development • Design and build AI agents using Python and frameworks like OpenAI Agents SDK, LangChain, AutoGen, and Google ADK, • Create multi-agent orchestration systems for complex workflows (e.g., music curation, content analysis, scheduling), • Integrate multimodal AI models, including voice synthesis and music understanding Audio Technology Integration • Work with libraries such as LibROSA and PyDub to enable audio analysis and processing, • Develop tools for BPM detection, genre classification, energy and mood mapping, • Create systems for automated content compliance and rights management Platform Engineering • Build scalable AI platforms that interface with our music management systems, • Develop APIs and edge AI capabilities for real-time audio delivery in retail environments, • Establish performance metrics to evaluate AI agent outcomes and business impact Innovation Leadership • Lead generative AI experimentation in music and voice, • Evaluate emerging AI trends for commercial audio application, • Mentor junior engineers and share best practices in AI agent development Cross-Functional Collaboration • Translate business needs into intelligent, scalable AI solutions, • Work closely with music curators and product teams to align technology with creativity, • Present AI initiatives and outcomes to internal and external stakeholders Essential • Degree in Computer Science, Engineering, or related field (or equivalent experience), • 1+ years of hands-on AI agent development (multi-agent systems a plus), • Strong Python programming skills and experience with modern AI/ML frameworks, • Familiarity with LLMs, prompt engineering, CoT reasoning, and AI orchestration tools, • Solid understanding of audio processing and music tech, • Proven ability to build and integrate APIs and scalable systems, • Experience identifying AI use cases and translating them into business value Preferred • Experience with LibROSA, Essentia, or other audio analysis libraries, • Knowledge of computational musicology and MIR, • Familiarity with semantic search, vector databases, and explainable AI, • Understanding of music licensing and rights management, • Background in retail tech or B2B SaaS is a plus What We Offer • A unique opportunity to shape the future of AI in music and audio tech, • Work alongside industry-leading music curators and audio professionals, • Access to extensive music libraries and real-world deployment environments, • A creative, collaborative culture that values innovation and integrity Ready to lead the AI audio revolution? Interested? Please Click Apply Now!

Graduate / Junior Developer, Python, JavaScript, PHP - London (Tech stack: Graduate / Junior Developer, Python, JavaScript, PHP, Graduate / Junior Developer) In 2012 our client launched a social messaging platform that has been taking the US by storm. After an extremely successful period our client has decided to hop across the Atlantic, in a bid to expand their sphere of influence and take up a firm foothold in the UK and European markets. A number of new offices are being opened in the UK and our client is looking for talented, enthusiastic and passionate Graduate / Junior Developer to bring their product to these new markets and help enhance this already successful company! These roles would be suitable Graduate / Junior Developer who have recently graduated from university and have a basic understanding of any of the following technologies: Python, JavaScript, PHP, React, React Native, Django, Postgres, Docker and Agile; which might have been acquired as part of your degree course or through a placement year in industry. All Graduate / Junior Developer positions come with the following benefits: • 30 days holiday (plus 8 UK Bank Holidays)., • Flexible working hours, • An early finish on Fridays that fall in the months of June, July and August., • £10,000 training allowance including attendance of Microsoft events and conferences., • 4 days a month innovative time., • Free gym membership including yoga sessions., • Summer BBQs., • Birthday bonus package - including time off work on your birthday, dinner at a top restaurant or a paid day trip to a European destination. Location: London, UK / Remote Working Salary: £35,000 - £50,000 + Bonus + Pension + Benefits Applicants must be based in the UK and have the right to work in the UK even though remote working is available. NC/RG/GRALON

Grafana Labs is a remote-first, open-source powerhouse. There are more than 20M users of Grafana, the open source visualization tool, around the globe, monitoring everything from beehives to climate change in the Alps. The instantly recognizable dashboards have been spotted everywhere from a NASA launch and Minecraft HQ to Wimbledon and the Tour de France. Grafana Labs also helps more than 3,000 companies -- including Bloomberg, JPMorgan Chase, and eBay -- manage their observability strategies with the Grafana LGTM Stack, which can be run fully managed with or self-managed with the , both featuring scalable metrics (), logs (), and traces (_). We’re scaling fast and staying true to what makes us different: an open-source legacy, a global collaborative culture, and a passion for meaningful work. Our team thrives in an innovation-driven environment where transparency, autonomy, and trust fuel everything we do. You may not meet every requirement, and that’s okay. If this role excites you, we’d love you to raise your hand for what could be a truly career-defining opportunity. This is a remote opportunity and we would be interested in applicants based in Spain, Germany, the UK or Sweden at this time. The Opportunity: As a Mimir Engineer you’ll join one of two sub-squads, Ingest or Query, that together maintain the open source _ and operate Grafana Cloud Metrics across three major cloud providers. This role offers the opportunity to work on large-scale, high-performance distributed systems where efficiency, resilience, and reliability are essential to keeping our metrics offerings competitive and smooth at massive volumes. Mimir engineers work across a variety of streams. You’ll typically collaborate with another engineer on a larger project while also driving performance and reliability improvements identified from operating the system in production. In this role, you’ll write and review PRs and design documents, help guide automated release rollouts, and participate in the on-call rotation for the systems you own. This is a chance to directly shape, optimize, and scale one of the industry’s most advanced metrics platforms. What You’ll Be Doing: • Take an active role in influencing our roadmap and your own career objectives, • Work with your team to deliver new features, then use the results to iterate and improve., • Drive projects from initial idea all the way to operations once it is in the hands of customers, • Embrace our open-source culture and contribute to other projects that may not directly fall within your team’s scope, • Design, build, operate, and maintain critical systems, owning the reliability, performance, and availability, • Be a part of your team’s follow-the-sun on-call rotations and take ownership of the services you’re running, • Support other team members, participate in design discussions and collaborate with the team, • Learn new skills by gaining a deeper understanding of our cloud product and our customers and getting to know the codebase of a large distributed system What Makes You a Great Fit: • Pragmatism: You are able to take on complex challenges and break them down to achieve short feedback loops: to analyze, design, and build modular solutions, deliver MVPs, gather data and feedback and then progress iteratively, • Collaboration and communication: The smallest unit we have is a squad. You’ll be working with your teammates in a fully remote setup. Good communication skills are a must., • Solid experience with at least one programming language. We use Go, but if you have familiarity with Python, C, C++, Rust or similar then that translates well, • Some experience with delivering projects from gathering requirements, brainstorming ideas all the way to shipping a product to the customer’s hands in a self-driven way, • Some experience with developing software that runs in the Cloud or some experience with systems engineering, • Some experience with being on-call and following the DevOps model, • Experience writing clean, robust, and performant software that is easily maintained by others, • Familiarity with observability systems, know when to use metrics, logs, traces, to debug a problem. Bonus Points For: • Experience working with Kubernetes, • Experience working with queue systems, e.g. the Kafka protocol, • Been a user of Grafana and Prometheus in operational roles (including on-call for your team at a previous employer or just using these tools on hobby/homelab projects), • Exposure to microservices architecture and distributed systems, or a desire to learn, • Familiarity with the concept of infrastructure as code In United Kingdom, the compensation range for this role is GBP 91,755 - GBP 110,106. Actual compensation may vary based on level, experience, and skillset as assessed throughout the interview process. All of our roles include Restricted Stock Units (RSUs), giving every team member ownership in Grafana Labs' success. We believe in shared outcomes—RSUs help us stay aligned and invested as we scale globally. *Compensation ranges are country specific. If you are applying for this role from a different location than listed above, your recruiter will discuss your specific market’s defined pay range & benefits at the beginning of the process. Why You’ll Thrive at Grafana Labs: • 100% Remote, Global Culture - As a remote-only company, we bring together talent from around the world, united by a culture of collaboration and shared purpose., • Scaling Organization – Tackle meaningful work in a high-growth, ever-evolving environment., • Transparent Communication – Expect open decision-making and regular company-wide updates., • Innovation-Driven – Autonomy and support to ship great work and try new things., • Open Source Roots – Built on community-driven values that shape how we work., • Empowered Teams – High trust, low ego culture that values outcomes over optics., • Career Growth Pathways – Defined opportunities to grow and develop your career., • Approachable Leadership – Transparent execs who are involved, visible, and human., • Passionate People – Join a team of smart, supportive folks who care deeply about what they do., • In-Person onboarding - We want you to thrive from day 1 with your fellow new ‘Grafanistas’ to learn all about what we do and how we do it., • Balance is Key - We operate a global annual leave policy of 30 days per annum. 3 days of your annual leave entitlement are reserved for Grafana Shutdown Days to allow the team to really disconnect. *We will comply with local legislation where applicable. Equal Opportunity Employer: We will recruit, train, compensate and promote regardless of race, religion, color, national origin, gender, disability, age, veteran status, and all the other fascinating characteristics that make us different and unique. We believe that equality and diversity builds a strong organization and we’re working hard to make sure that’s the foundation of our organization as we grow. Grafana Labs may utilize AI tools in its recruitment process to assist in matching information provided in CVs to job postings. The recruitment team will continue to review inbound CVs manually to identify alignment with current openings. #LI-Remote For information about how your personal data is used once you’ve applied to a job, check out our .

Senior Security Engineer (AI & DevOps) iProov provides science-based biometric solutions that enable the world’s most security-conscious organizations to streamline secure remote onboarding and authentication for digital and physical access. Our award-winning liveness technology and iSOC offer unmatched resilience against deepfakes and generative AI threats while ensuring effortless, scalable user experiences. Trusted by leading governments and enterprises, including the U.S. Department of Homeland Security, U.K. Home Office, GovTech Singapore, ING, and UBS, iProov sets the standard in biometric identity assurance. This global trust is built not only on our technology but on the strength of the people behind it. For us, diversity at iProov is about reflecting the customers we serve, holding the principles of equality and inclusion at the heart of everything we do and all that we stand for, embracing differences, creating possibilities, and growing together. We aim to foster a culture where individuals of all backgrounds feel confident in bringing their whole selves to work, feel included, and their talents are nurtured, empowering them to contribute fully to our purpose. The Role Reports to: Head of Cybersecurity Location: WeWork Waterloo - Hybrid ( Comp: $ (Base) + Company Performance Bonus (20%) + Share Options + US iProov Benefits The role was created specifically to provide the technical security depth that will allow us to accelerate our adoption of agentic AI, equipping developers and data scientists building our biometric products with the tools and workflows to use AI safely and at pace. You will work as the direct counterpart to our GRC-focused InfoSec Manager, owning the engineering and implementation side of our security posture across cloud infrastructure, developer workflows, AI systems, and our core security toolstack. This is a role for someone who has built and shipped software or infrastructure and brings that experience into a security context. • Architect and deploy the secure technical framework that governs the security controls for how our developers and scientists use agentic AI, including AI coding assistants, autonomous agents, and LLM-integrated tooling. Given that these systems can autonomously access data, execute code, and interact with external services, the guardrails you design will need to address a substantially broader attack surface than traditional AI tooling, and must hold up in a context where the underlying data is among the most sensitive we handle., • Be the primary technical security voice in decisions around the use and deployment of externally developed AI, ensuring the right controls are in place from the onset, • Continuously mature automated security controls into CI/CD pipelines and infrastructure-as-code deployments, championing the DevSecOps culture across a large engineering organisation., • Take hands-on ownership of our core security technology stack, including Wiz, CrowdStrike, Google SecOps, and Tailscale, ensuring these platforms are correctly configured, tuned, and integrated., • Drive continuous technical delivery of strategic security initiatives, systematically identifying, triaging, and closing gaps across our cloud environments, internal networks, and developer workflows., • Provide technical oversight of the security of the data pipelines feeding our internal AI systems and, critically, the permissions and access boundaries of agentic AI systems reaching out into other environments, enforcing the principle of least privilege, maintaining audit trails, and ensuring sensitive data and code integrity is handled with the rigour required., • Complement the work of our existing biometric and product focused Red Team by owning security coverage of the DevSecOps surface, the build pipeline, internal toolchain, cloud environments and developer infrastructure., • Act as the primary technical security partner to our GRC-focused InfoSec Manager, translating governance and compliance mandates into concrete, automated engineering controls., • Represent the technical security function in external audits. This includes presenting evidence of controls, articulating the security posture of our cloud and AI environments to auditors, and working closely with the InfoSec Manager to ensure the technical substance behind our compliance position is clearly and credibly communicated., • A foundational background in software engineering or DevOps before moving into a dedicated security role: you understand how code is written, tested, and deployed, and that experience is central to how you approach security problems., • Proven, hands-on experience securing modern cloud infrastructure and containerised environments, with a solid understanding of infrastructure-as-code principles and the security implications of how infrastructure is defined and provisioned., • Proficiency in deploying and administering enterprise security platforms, ideally with direct experience managing tools spanning CNAPP, EDR, SIEM, and zero-trust networking., • A heavy and active user of AI in both professional and personal contexts, including agentic AI tools and coding assistants, with a grounded understanding of the evolving AI threat landscape, including model supply chain risks, prompt injection, data exfiltration, agent misuse, and LLM-specific attack vectors., • Scripting and automation capability, particularly in Python, to build internal tooling, automate security checks, and reduce reliance on manual processes across the security function., • Prior experience or a demonstrated practical interest in securing AI workloads, data pipelines, and machine learning environments., • The communication skills to collaborate effectively with highly technical stakeholders, champion security initiatives without hindering developer productivity, and translate risk into language that resonates with both engineering peers and business leadership, including the confidence to present technical security evidence clearly in formal external audit settings., • 25 days Annual Leave, plus 8 Bank Holidays (more holiday with service - up to an extra 5 days off per year based on your continuous service), • Growth Shares allocated after passing probation (6 months of service), • Salary sacrifice schemes including: Pension, Cycle To Work and Electric Car Scheme, • Nursery Sacrifice Scheme, • Work Overseas Perk - Work globally for up to 2 weeks, • Life Assurance, • SmartHealth - Access to private GP, Psychologist, Nutritionist along with tailored fitness plans for both you and your family, • Benefit from personalized 1:1 career coaching with our in-house Occupational Psychologist, • Award winning L&D platform with personal allocated training budgets, • Enhanced paid family leave, • Pension - 5% employee, 3% employer, • Flexible hybrid working environment, • Free Barista Coffee/Tea, biscuits with fruit in the WeWork office, • Free access to WeWork discounts and free online well-being sessions, • Vitality Health - a range of options available on this below The Vitality Programme includes a number of reward benefits that all employees have access to as part of the plan, for example: • Private Health cover including Dental, Optical, and Audiology, • 50% off monthly gym memberships, • Apple watches significantly discounted based member vitality status, • Half price trainers with Runners Need, • Weekly rewards – Free coffee with Café Nero, • Monthly rewards – Free Cinema ticket, • Discounts on travel with Expedia (hotels) and Mr & Mrs Smith with discounts getting greater throughout the year based on a members vitality status, • Amazon prime free months based on activity, • Up to 25% cashback at Waitrose when buying healthy foods, • 75% off stays at Champneys Health Spas, • Allen Carr’s £299 no smoking programme for free, • Access to Vitality Healthy Mind with 30% off Headspace subscriptions and the ability to earn Vitality points for using Buddhify, Calm and Headspace, • Discounts on Weight Watchers, • 50%-80% off Comprehensive Private Health screenings Our Culture & Recruitment Process At iProov, we're incredibly proud of the culture we've carefully curated. Our culture enables diverse thought, curiosity and innovation. Our team strives to do everything to the highest standard possible to achieve the remarkable. To do that we need different perspectives, experiences and ideas alongside an environment where these are welcomed - we want everyone to feel confident in bringing their full capabilities to work. We firmly believe psychological safety is key to building and nurturing great teams. We’re a small and dynamic company, that means having the right skills is important, and we know that our best work emerges when people feel secure, welcomed and respected. As an equal opportunities employer, we encourage applications from people of all backgrounds. We’re committed to building a workforce that is representative of the people we serve. We will not put someone at a disadvantage or treat them less favourably because of race, color, national origin, ancestry, age, disability, creed, religion or belief, sex, sexual orientation, gender reassignment, marriage or civil partnership, or pregnancy and maternity. Our goal is to find people who are passionate about creating a safer, more secure world. Our recruitment process is designed to be fair and transparent, focusing solely on your qualifications, competence, and suitability for the role. We review all applications carefully and will be in touch with shortlisted candidates regarding the next steps in our interview process. If you need an adjustment for a disability or any other reason during the hiring process, please send a request to _

Job Title: Ada CS Engineer Location: Remote, UK, with regular travel to Cambridge Salary: £39,000 to £45,000 p.a. Full-time equivalent, dependent on experience Basis: Permanent, Full-time, part-time or flexible Eligibility: You must be eligible to work in the UK The role The Raspberry Pi Foundation is working in collaboration with the University of Cambridge to deliver _, a free and accessible learning platform for computing teachers and students in the UK. We are looking for a motivated and proactive software engineer to join the Ada Computer Science development team and work on the development and maintenance of a key component of the UK’s computer science curriculum delivery. You will be working within a University of Cambridge development team and will represent the Raspberry Pi Foundation’s interest. You will be a key person in creating a shared understanding between the two organisations. This role is a chance for significantly more independence and autonomy than typical for this level of experience. The work you will do is open source and can be found on Github at _. You will be working to improve and develop resources and experiences for teachers and students and will have a unique chance to impact computer science education throughout the UK for both young people and educators. You will develop software in Java and React to enable learning experiences, as well as managing the software delivery and infrastructure that runs Ada Computer Science. You will be working with a supportive, collaborative, and agile team of software engineers from the University of Cambridge, product designers and managers from the Raspberry Pi Foundation and expert computer science educators. We work hard to make sure that the Foundation is a place where everyone is supported to do the best work of their careers. We have a flexible and collaborative approach to all aspects of our work. If you're the right person for the job, we’ll make it work for you, and you can be confident that you’ll be joining an exceptional team of people who care about our mission and each other. Responsibilities This role has the following responsibilities. • Design and implement Ada CS site features in collaboration with product teams and designers from the Raspberry Pi Foundation and the University of Cambridge., • Organise release testing and perform deployments, • Respond to support tickets, • Support product teams with requests for data and insights, • Manage on-premises servers maintained by the University of Cambridge, • Participate in our on-call rotation within business hours There are also opportunities to lead in specific domains, such as: • Testing strategy and approach, including Visual Regression Testing., • Building and deployment, managing the CI/CD pipeline and approach, • Developing analytics for key stakeholders, including managing the analytics infrastructure Experience and personal attributes We recognise that everyone has the potential for growth. We welcome applications from candidates who can demonstrate that they have some, but not necessarily all, of the experience and personal attributes listed here. • Great written and verbal communication skills, • Proactivity and strong self-management skills, • Professional development experience in React, Java and Python, • Experience with Docker, Docker compose and containerisation, • Experience with a relational database systems (e.g. MySQL, PostgreSQL, MongoDB), • Experience with software delivery and CI/CD, • Experience with software service metrics and monitoring tools such as Grafana, Plausible and Apache Superset., • Familiarity with Linux server administration and networking, • Experience directly interacting with end users, replying professionally to queries and questions, • Enthusiasm for growing the next generation of Computer Scientists and for educational outcomes in Computer Science About us The Raspberry Pi Foundation is an independent charity with a global mission to enable all young people to realise their full potential through the power of computing and digital technologies. We empower schools to teach computer science and AI literacy through free curricula, classroom resources, purpose built software tools, and professional development for teachers. We inspire young people to become tech creators through the world's largest networks of coding clubs. We undertake original research that informs our work and which we use to advance the field of computer science education more broadly. All of our resources and learning experiences are available for anyone to use at no cost. We are particularly focused on creating opportunities for young people who experience educational disadvantage and those who come from backgrounds traditionally underrepresented in technology industries. Over the past decade, we have supported hundreds of thousands of educators and tens of millions of students. We have teams in six countries (India, Ireland, Kenya, South Africa, the UK and US) and partnerships with mission-aligned non-profit organisations in over 60 countries. We are at the forefront of the global educational movement to expand access to computer science education and AI literacy. You can learn more about our work in our latest Annual Report. Benefits In addition to competitive salaries, we offer a wide range of benefits for all of our colleagues. • Paid time off. In addition to public holidays, full-time employees in the UK receive 25 days of paid annual leave initially, rising to 30 days after five years service, plus 3 additional days of paid leave for the company-wide closure at the end of each year., • Pension. We provide an 8% employer contribution on top of your minimum 4% employee contribution., • Private healthcare. We provide comprehensive private healthcare for all employees through Vitality Plus., • Flexible working. We have clear policies to provide flexibility over when and where you work, helping you balance work responsibilities with the rest of your life., • Support for parents and carers. We provide generous family leave and flexibility for parents and carers., • Life assurance and income protection. We provide life assurance and income protection schemes to provide peace of mind for you and your family., • Investing in learning and development. We invest in your growth and development, including through access to learning resources and training, with dedicated time for all employees., • Travel to work. Through our Cycle-to-Work and Season Ticket Loan schemes we support cost effective and sustainable travel to work. Timetable for applications Closing date: 20th April 2026, 9.00am GMT Phone screen: Week commencing 20th April 2026 First interview: Week commencing 27th April 2026 Second interview: Week commencing 5th May 2026 Our recruitment process All of our workplaces are inclusive spaces where we want people to feel respected, valued, and able to do their best work. We are committed to building teams that bring together people with a broad range of backgrounds, skills, and perspectives. That starts with our recruitment process. Here's what you can expect: • As part of your application, you will be asked to respond to a small number of questions that we will use to screen your eligibility for the role. You will also be asked to provide your cv and a short cover letter., • Eligible applications will be reviewed by our recruitment team and the hiring manager., • A small number of candidates will be invited to a phone call with the hiring manager., • The purpose of this call is to check our understanding of your application and to answer any questions you have., • We normally have two interviews, which may take place in-person. Interviews will be with the hiring manager and at least one other colleague., • You will usually be asked to undertake a work-based assessment in advance of your interviews. This will be an opportunity for you to show how you would perform some part of the role. You will be given advance notice and clear instructions., • If you have any questions about or feel that you need any adjustments to the recruitment process, including adjustments for neurodiversity, please contact our People and Culture team at recruitment@raspberrypi.org. We are committed to safeguarding and promoting the welfare of children and young people, and we expect all staff and volunteers to share this commitment. Everyone appointed to a role at the Foundation will be required to undergo a background check to confirm that you are a suitable person to work with children. Further background checks will be made at regular intervals thereafter.

Junior Software Test EngineerStart your engineering career making sure mission-critical technology works exactly as it should, before it ever reaches the field.This is a Junior Software Test Engineer role for a strong graduate ready to learn from experienced engineers.As a Junior Software Test Engineer you will help prove that the products built by an established manufacturer of mission-critical equipment for the aviation and defence sectors perform exactly as they should. Working under the guidance of experienced engineers, you will support integration and testing, help develop and run test plans, and write up the results, while also getting hands-on with the software design and development behind the products and their manufacturing test systems. Full guidance and support come as standard, so you do not need years of experience, just a strong technical foundation and the drive to learn. This is a genuine chance to build your career in a business where the quality of your work really matters.Job Responsibilities\n\n • Supporting the Test and Acceptance team with integration and testing of company products\n, • Helping to develop and execute test plans, and writing up clear test reports\n, • Carrying out software design and development, with guidance, for products and their manufacturing test systems\n, • Writing, unit testing and debugging software code\n, • Taking part in software code reviews and acting on feedback\n, • Producing technical documentation to record how products are built and tested\n, • Applying your knowledge to project requirements with regular guidance from senior engineers\n, • Putting forward your own ideas as your experience grows\n, • Supporting the wider department and its day-to-day activities\nSkills and ExperienceTo succeed as a Junior Software Test Engineer you will need:\n\n, • A first or 2:1 degree, or equivalent, in a relevant technical subject\n, • Good A Level results in science subjects, with proven competence in maths\n, • Some experience of C, C# or C++ programming\n, • An appreciation of some of the following: embedded software, development in Windows or Linux, basic network technologies, and Python, HTML, JavaScript, ASP.NET, SQL or SNMP\n, • A logical approach to problem solving, weighing up the merits of different solutions\n, • Good interpersonal skills and the ability to communicate clearly with the team\n, • A self-motivated, hands-on and customer-focused attitude\n, • The ability to obtain and maintain UK Government security clearance\n, • No prior work experience is needed, as full guidance and training are provided\nPay and Benefits\n\n, • A salary of up to £30,000\n, • 37.5-hour working week with flexitime and core hours between 09:30–15:00\n, • 25 days holiday plus bank holidays\n, • Enhanced pension scheme with up to 8% company contribution\n, • Private healthcare\n, • Life assurance\n, • Buy and sell holiday scheme\n, • Liberty Days allowing annual leave requests on the day\n, • Long service and retirement awards\n, • Subsidised staff canteen\n, • Cycle to work scheme\n, • Flu vaccinations\n, • Continuous training and learning opportunities\n, • Employee Assistance Programme and wellbeing support\n, • Free on-site parking\nReady to apply?This is the kind of role that sets a career up properly, real engineering, real responsibility, and experienced people around you to learn from. If you are a strong technical graduate ready to start out as a Junior Software Test Engineer in a business where quality genuinely matters, this is one to act on. Apply now.

Software Test EngineerMake sure complex, mission-critical technology performs exactly as it should, and help the engineers coming up behind you do the same.This is a Software Test Engineer role for an experienced engineer ready to work with real autonomy.As a Software Test Engineer you will play a key part in proving that the products built by an established manufacturer of mission-critical equipment for the aviation and defence sectors perform exactly as they should. Working with a good degree of autonomy, you will support integration and testing, develop and execute test plans and write up detailed results, alongside detailed software design and development for the products and their manufacturing test systems. You will also share your experience, providing informal guidance to junior engineers and bringing new team members up to speed. This is a role for someone who already knows their craft and wants to apply it to genuinely complex, high-stakes technology.Job Responsibilities\n\n • Supporting the Test and Acceptance team with integration and testing of company products\n, • Developing and executing test plans, and producing clear, detailed test reports\n, • Carrying out detailed software design and development for products and their manufacturing test systems\n, • Writing, unit testing and debugging software code\n, • Taking part in software design and code reviews\n, • Producing technical documentation across the full product development lifecycle\n, • Applying your knowledge to project requirements with a moderate level of guidance\n, • Providing informal guidance to junior engineers and training new team members\n, • Anticipating potential problems and planning your work to meet project objectives\n, • Supporting the wider department and its activities\nSkills and ExperienceTo succeed as a Software Test Engineer you will need:\n\n, • Proven experience in a software or test engineering role, ideally including hands-on software design and development\n, • A first or 2:1 degree, or equivalent, in a relevant technical subject\n, • Experience of C, C# or C++ programming and of the full product development lifecycle\n, • Some knowledge of communications systems equipment specification, design or test\n, • Some understanding of communications modulation techniques\n, • Practical experience of some of the following: embedded software, development in Windows or Linux, network technologies, and Python, HTML, JavaScript, ASP.NET, SQL or SNMP\n, • Excellent interpersonal skills, communicating effectively with a range of stakeholders\nPay and BenefitsAs a Software Test Engineer you will receive:\n\n, • A salary of up to £50,000\n, • 37.5-hour working week with flexitime and core hours between 09:30–15:00\n, • 25 days holiday plus bank holidays\n, • Enhanced pension scheme with up to 8% company contribution\n, • Private healthcare\n, • Life assurance\n, • Buy and sell holiday scheme\n, • Liberty Days allowing annual leave requests on the day\n, • Long service and retirement awards\n, • Subsidised staff canteen\n, • Cycle to work scheme\n, • Flu vaccinations\n, • Continuous training and learning opportunities\n, • Employee Assistance Programme and wellbeing support\n, • Free on-site parking\nReady to apply?Roles that combine complex, meaningful engineering with real autonomy do not come along often. This is a chance to apply your experience to technology that has to work every time, and to help shape the engineers coming up behind you. If you are an experienced Software Test Engineer looking for work that genuinely matters, this is one to act on. Apply now.

Coach – Applied AI Engineering (Level 6) | Machine Learning Remote | National travel required Corndel is a multi award‑winning UK training provider delivering high‑quality management and technology programmes with leading organisations. We’re growing fast and are passionate about transformational learning that empowers people to be their professional best. The Role We’re looking for an Applied AI Engineering Coach (Level 6) to support apprentices on our AI Engineer / Machine Learning apprenticeship programme. This role suits an experienced AI Engineer, Machine Learning Engineer, or Data Scientist who enjoys coaching others and enabling the responsible application of AI in real business environments. You’ll combine strong technical expertise with a coaching mindset—helping learners apply AI confidently, ethically, and effectively at work. What You’ll Do Coach and mentor a caseload of Level 6 AI Engineering apprentices Deliver engaging 1:1 coaching, workshops, and group learning Support learners across the full machine learning lifecycle, from problem scoping to deployment and monitoring Guide learners through End Point Assessment (EPA) and portfolio development Promote responsible AI, ethics, security, and governance Collaborate with employers and internal teams to ensure high‑quality learner outcomes What You’ll Bring Applied experience in machine learning, AI engineering, or data science Hands‑on experience with production ML systems Strong Python skills and experience with tools such as: scikit‑learn, PyTorch, TensorFlow Pandas, NumPy Hugging Face / generative AI tooling Understanding of MLOps, cloud platforms (AWS, Azure, GCP), and SQL A passion for coaching, mentoring, and developing others Why Join Corndel? Remote, flexible, and supportive working environment Opportunity to shape AI and ML capability across the UK Inclusive, values‑driven culture focused on quality and impact Apply now if you want to use your AI and machine learning expertise to make a meaningful impact through education. As part of our commitment to create an inclusive workplace where all colleagues can be their true selves, excel in their roles and progress in their careers, we recognise the importance of embracing the diversity in the working population and making Corndel a fully accessible employer. As Corndel is a Disability Confident Employer, we make sure that a fair and proportionate number of disabled applicants who meet the minimum criteria for a job will be offered an interview. If you would like to be considered under this scheme, when submitting your application, please select the appropriate option to let us know that you have a disability. Please note this does not mean that all disabled people are entitled to an interview, in some recruitment situations such as peak times, we might need to limit the overall numbers of interviews we offer. If you have a disability that might affect any stage of the recruitment process, please let us know about any help or reasonable adjustments you need before any interview or assessment. We’ll work with you to make sure any appropriate support is in place and make the application process a more positive experience. Corndel is committed to safeguarding and safer recruitment practices, and will undertake pre-employment checks on the successful candidate, including DBS Disclosure. For more information contact _

Python Engineer (Django/Flask) Remote (UK-Based) Role Highlights: Position: Python Engineer Location: Remote within the UK Employment Type: Permanent Compensation: Competitive market salary plus equity options Overview: An innovative EdTech start-up is seeking a skilled Python Engineer to join their team. This company is changing education with an AI-driven platform that aligns with the UK National Curriculum, ensuring child-safe content and advanced safeguarding features. Key Responsibilities: Develop and maintain scalable backend services using Django and Flask frameworks. Design and implement RESTful APIs to support web and mobile applications. Collaborate with cross-functional teams to define, design, and ship new features. Ensure the robustness and scalability of applications through testing and code reviews. Integrate MongoDB for data storage solutions as needed. Participate in agile development processes and contribute to continuous improvement. Qualifications: Proven experience as a Python Developer with expertise in Django and Flask. Familiarity with MongoDB or other NoSQL databases is a plus. Strong understanding of software development principles and best practices. Experience with version control systems like Git. Ability to work independently in a remote setting and manage time effectively. Excellent problem-solving skills and attention to detail. Why Join Us? Be part of a mission-driven company that's making a tangible impact on children's education. Enjoy the flexibility of remote work while collaborating with a passionate and innovative team. Opportunity to grow with the company and take on increased responsibilities. Competitive compensation package with equity options.

BJAK is building AI-powered automation systems that simplify complex insurance workflows- from quotations and policy issuance to claims and customer support. To make this possible, we need intuitive, fast and scalable user experiences. We're looking for an experienced Frontend Engineer based in the United Kingdom to help build the next generation of AI-powered web applications used by both customers and internal teams. This is a fully remote role where you'll collaborate closely with our global engineering team while working with product and operations teams based in Malaysia. Build exceptional frontend experiences that make complex AI-powered workflows feel simple. You'll develop modern web applications that help customers purchase insurance more easily while enabling internal teams to operate faster through intelligent automation. Build modern web applications using React, Next.js, TypeScript and modern frontend technologies. Develop customer-facing products alongside internal AI-powered operational tools. Translate product and UX requirements into fast, responsive and intuitive interfaces. Integrate frontend applications with backend APIs and AI services. Improve application performance, scalability and reliability. Build reusable components and maintain a scalable frontend architecture. Participate in code reviews and contribute to engineering best practices. Collaborate closely with product managers, designers, backend engineers and QA throughout the development lifecycle. Help shape technical decisions and continuously improve our frontend stack. Bachelor's degree in Computer Science, Software Engineering or a related discipline, or equivalent industry experience. Proven experience building production-grade web applications. Strong experience with React and TypeScript. Experience with modern frameworks such as Next.js (or similar frameworks like Vue or Angular). Solid understanding of HTML5, CSS3 and responsive web development. Experience consuming REST APIs. Strong understanding of component-based architecture and frontend application design. Experience optimising frontend performance and debugging production applications. Familiarity with Git and modern software development workflows. Comfortable working within CI/CD environments. Strong problem-solving skills and attention to detail. Excellent communication skills and ability to work effectively in a distributed team. Comfortable working in a fast-moving, product-focused environment. Experience building AI products or AI-enabled user experiences. Experience with workflow automation or SaaS platforms. Experience with Next.js, Vite or modern frontend tooling. Familiarity with Node.js or Python. Experience with Playwright, Cypress, Jest or Vitest. Knowledge of authentication, authorisation and web security. Experience with Redux, Zustand or similar state management libraries. Contributions to open-source projects or active participation in developer communities. Think beyond simply implementing designs. Care deeply about user experience, performance and usability. Take ownership from idea through production. Write clean, maintainable and scalable code. Balance engineering quality with execution speed. Enjoy solving complex technical and product challenges. Want to build AI products with measurable business impact. Prefer highly structured environments with detailed specifications for every task. Focus only on writing code without understanding user problems. Avoid ownership beyond implementation. Are uncomfortable working in a fast-paced startup where priorities evolve quickly. You'll thrive if you can: Deliver fast, intuitive and reliable frontend experiences. Simplify complex workflows through thoughtful product design. Build scalable frontend architecture that supports rapid growth. Maintain high engineering standards while shipping quickly. Become a trusted technical partner across engineering, product and operations. Build AI Products – Work on cutting-edge AI and automation systems that solve real business problems. Global Engineering Team – Collaborate with experienced engineers and cross-functional teams across multiple countries. Fully Remote – Work remotely from UK while collaborating with our Malaysia-based teams. International Exposure – Gain experience building products used across Southeast Asia and work with globally distributed teams. Learning & Development Budget – Receive support for technical courses, certifications, conferences and continuous learning. Career Growth – Fast career progression with opportunities to take ownership of impactful projects. Innovative Challenges – Solve large-scale engineering problems in a high-growth technology company. Modern Engineering Culture – Code reviews, knowledge sharing, continuous improvement and engineering excellence. Competitive Compensation – Attractive salary package based on experience and performance. We assess culture, working style and frontend execution. The process usually includes application review, two interviews and a technical task or code review.

🚀 Why Midnite? Midnite is a next-generation sports betting and gaming platform built for a new wave of players. We combine sharp product thinking, bold brand, and fast execution to create experiences that feel modern, intuitive, and built for how people actually play today. Over 400,000 players have already made the move, and we’re only just getting started. We’re a high-performance team operating at pace. High ownership. Constant iteration. No hiding behind processes. We move quickly, test relentlessly, and turn ambitious ideas into real impact. If you’re driven, creative, and thrive in fast-moving environments where you can shape meaningful outcomes - keep reading. Not your grandad’s bookie. 👀 The Role Title: Lead Backend Engineer (AI & Back Office) Team: AI & Back Office Location: Remote UK This role will play a central part in how Midnite scales internal operations and defines the practical use of AI across engineering and the wider business. You’ll lead the build of a greenfield back office platform while helping shape how AI is used to improve workflows, decision-making, and efficiency across the company. You’ll combine technical leadership with hands-on engineering, guiding a small team while building production systems that have direct business impact. You will: • Design and build scalable backend systems for Midnite’s internal back office platform., • Lead and mentor a small team of engineers while remaining hands-on in delivery., • Write production code and use AI-assisted development approaches to accelerate execution., • Productionise and deploy AI-powered tools for engineering and business use cases., • Explore and apply technologies such as LLM APIs, agents, MCP servers, and RAG-style patterns where they create real value., • Collaborate closely with Product to shape requirements, technical solutions, and delivery plans., • Work with internal stakeholders to understand operational pain points and turn them into effective tooling., • Define architecture, engineering standards, and best practices for a new team and platform. The next Midniter: • Brings 7+ years of backend engineering experience, including time operating at a senior or lead level., • Has experience leading or mentoring engineers in a hands-on technical leadership capacity., • Has built internal platforms, back office systems, or operational tooling., • Has professional experience integrating LLMs or AI APIs into production environments., • Has a solid understanding of databases (PostgreSQL or similar)., • Has strong system design instincts across scalable, reliable backend services., • Has a strong proficiency in Python (or another backend language with willingness to learn Python)., • Has cloud, deployment, and production engineering fundamentals, including CI/CD, observability, and infrastructure in modern environments., • Brings strong ownership, product thinking, and a bias toward delivery., • Communicates clearly with both technical and non-technical stakeholders. 💰 Winnings • Private health insurance with zero excess, including optical cover and optional dental., • Income protection to protect your earnings and give you peace of mind., • Tenure holiday policy. After three years you receive an extra two days leave, increasing to 30 days annually after five years., • Flexible working and a fully supported home office setup so you can do your best work from home., • Nursery salary sacrifice scheme helping parents save thousands each year on nursery fees., • Salary sacrifice schemes for tech and holidays so you can spread the cost of the things you want., • Retail discounts and subscription perks across a wide range of brands., • Quarterly team socials to connect, celebrate and have fun together. At Midnite, we’re committed to creating equal opportunities for everyone. We actively strive to build balanced teams that reflect the diversity of our communities, including ethnic minorities, people with disabilities, the LGBTQIA+ community, and all genders. We aim to provide an inclusive and supportive interview experience for all candidates. If you require any reasonable adjustments, please let us know in advance so we can ensure you feel comfortable and set up for success.

About Us: DOHE is a global EdTech championing group headquartered in Singapore, with a branch in the United Kingdom.We are on a mission to transform education by leveraging technology responsibly to enhance educational quality and foster meaningful societal progress. We are building EdTech Hub, a global ecosystem designed to empower startups, foster collaboration, and strengthen innovation across the education sector worldwide.Through our Go-Together Accelerator Programme, we support EdTech founders in turning their vision into reality through tailored coaching and strategic support. Guided by our proprietary Navigator methodology, we create structured and efficient pathways to success for education innovators. Over the next decade, our ambition is to accelerate more than 5,000 EdTech startups globally EdTech Hub IT Team The EdTech Hub IT Team powers the digital foundation of our ecosystem. We design, build, and maintain secure, scalable, and reliable technology infrastructure that enables startups, partners, and stakeholders to collaborate seamlessly. From platform development and data management to cybersecurity and system optimisation, our team ensures that innovation is supported by strong and future-ready technology. By combining technical expertise with a deep understanding of the EdTech landscape, we help create an environment where startups can focus on growth — while we take care of the technology that drives it. We are building a high-impact core team of 9 professionals across engineering, product, and design. Detailed Job Descriptions are available for each role. In This Role, You'll Establish the design system on a modern framework and build the entire frontend for five portals plus EdTech Hub. Implement role-based access control and create interactive UIs that surface AI-generated reports and matching results. · Build all 5 portals and EdTech Hub frontend from scratch · Establish a shared component library and Design System · Implement role-based access control and authentication integration · Develop complex workflow UIs — multi-step approval, coaching sessions, diagnosis questionnaires · Build AI integration screens — report viewer, expert matching, recording uploads · Create monitoring dashboards, cohort tracking, and analytics views EdTech Hub IT Team EdTech Hub는 전 세계 에듀테크 스타트업 커뮤니티를 지원하고, 교육 혁신 생태계 전반의 협력을 강화하기 위해 설계된 글로벌 플랫폼입니다. DOHE Global은 현재 전 세계 스타트업의 성장을 지원하는 통합 EdTech Hub 플랫폼을 처음부터 새롭게 구축하고 있습니다. 우리는 이 혁신적인 여정을 함께할 9개의 핵심 포지션에 합류할 전문 인재를 찾고 있습니다. DOHE는 싱가포르에 본사를 두고 영국에 지사를 운영하는 글로벌 EdTech Championing Group으로, 에듀테크 스타트업이 사회적 가치를 만들고 글로벌로 성장할 수 있도록 에코시스템 (EdTech Hub) 구축 , 글로벌 액셀러레이션 프로그램 (Go-Together) , 데이터 기반 Methodology(Naviagator)를 제공하는 에드테크 전문 그룹입니다. 현재 EdTech Hub, Go-Together 등 내부 핵심 업무 시스템을 고도화하며 글로벌 팀과 함께 일할 시스템 엔지니어를 찾고 있습니다. Design the Core APIs for the unified platform, automate end-to-end business processes with a workflow engine, and safely migrate legacy data. This isn't just API development — you're architecting the entire foundation of the platform. · Design and build core domain APIs — User, Startup, Expert Pool · Automate Application → Diagnosis → KO → Coaching workflows using a workflow engine · Design the unified DB schema with audit logging and permission middleware · Architect and execute data migration from legacy DB, CSV, and SharePoint sources · Enhance and scale the existing authentication system as the platform grows · Lead backend code reviews, establish architecture and engineering standards · Senior backend engineer experiences · Python backend development experiences · Large-scale DB schema design and operations · RESTful API design and large-scale service architecture · Authentication/authorization system integration or scaling experience · Business-level English fluency required — daily collaboration with a global team Language Python 3.11+ Framework FastAPI · Django Database PostgreSQL · Redis Workflow Temporal · n8n Infra AWS / GCP · Kubernetes · Docker Tooling GitHub · Jira / Linear · Cursor [한국어] 통합 플랫폼의 Core API를 설계하고, 워크플로우 엔진으로 전체 비즈니스 프로세스를 자동화하며, 레거시 데이터를 안전하게 마이그레이션합니다. 단순히 API를 개발하는 것이 아니라, 플랫폼의 뼈대 전체를 설계하는 역할입니다. · User, Startup, Expert Pool 등 핵심 도메인의 API를 설계하고 구축합니다 · 워크플로우 엔진으로 Application → Diagnosis → KO → Coaching 프로세스를 자동화합니다 · 통합 DB 스키마를 설계하고, 감사 로그와 권한 미들웨어를 구현합니다 · 기존 DB, CSV, SharePoint 등 다양한 소스의 데이터 마이그레이션을 설계하고 실행합니다 · 기 구축된 인증 시스템을 플랫폼 확장에 맞춰 고도화합니다 · 백엔드 팀의 코드 리뷰를 리딩하고, 아키텍처와 엔지니어링 표준을 수립합니다 · 시니어 백엔드 엔지니어 · 풍부한 Python 기반 백엔드 개발 경험 · 대규모 DB 스키마 설계 및 운영 경험 · RESTful API 설계와 대규모 서비스 아키텍처 구축 경험 · 인증/인가 시스템 연동 또는 확장 경험 · 비즈니스 수준의 영어 커뮤니케이션 능력 필수 — 글로벌 팀과의 일상적 협업 · 아키텍트 마인드. 코드를 짜기 전에 시스템 전체의 구조를 먼저 그리는 분. 최적의 설계에 대한 집착이 있는 분입니다. · 빌더. 레거시를 유지보수하는 것보다, 백지에서 새로운 시스템을 구축하는 것이 설레는 분입니다. · 임팩트 지향. 5,000개 이상의 스타트업이 사용할 플랫폼을 직접 만든다는 사실에 동기부여가 되는 분입니다. · AI 네이티브. AI 코딩 도구를 일상적으로 쓰고, AI 파이프라인과의 통합에 열린 자세를 가진 분입니다. Language Python 3.11+ Framework FastAPI · Django Database PostgreSQL · Redis Workflow Temporal · n8n Infra AWS / GCP · Kubernetes · Docker Tooling GitHub · Jira / Linear · Cursor Employment: • Working hours: Full-time 40 hours a week., • Location: Remote - South Korea based, • Contract: Fixed Term Contract

Remote-first across Europe. Occasional travel to Prague and to customer sites. About the role Duvo helps big companies actually finish the operational work that nobody on their team has time to close. The stuff that lives across an ERP, a few portals, somebody's inbox, three spreadsheets, and the occasional phone call. We map it, improve it, and run it for them. Our customers include one of Europe's largest online grocery retailers, a global beauty e-commerce brand, a Middle East retail group, and a European pharmacy chain. The buyer is usually a Head of Operations, Supply Chain, Finance or IT at a large retailer or FMCG brand. New deals land at €100k-€250k ARR and grow from there. This role sits between sales and engineering. You own the technical story in a deal, you run the workshops with the customer's ops and IT people, and you design the pilot that gets us from "this looks interesting" to a signed contract. You'll work directly with the founders and the AE in your region. What you'll do Run discovery and process mapping with customer teams. Take what they actually do across half a dozen systems, including the handoffs and exceptions, and turn it into a pilot scope with a clear Definition of Done. Build and demo pilots inside the product. We don't show generic decks. Every demo runs against the customer's process, with their data shape and their approval rules and their write-back targets. Own the technical evaluation. Security review, integration sizing, the IT objections. Bring engineering in when you actually need them. Stay in the deal through pilot delivery. The customer's outcome has to be verifiable, not just demoable, and that part lands with you. Who you are 3+ years in pre-sales, solutions engineering, forward-deployed, or implementation consulting. You've sold into Operations, Supply Chain or Finance buyers at enterprise companies. Retail or FMCG is a bonus. You get your hands dirty with SQL, a bit of scripting, REST APIs, basic Python. You don't have to be a software engineer. You do have to be the person who can debug an integration live on a call. You read a buying committee well. You know who the champion is, who the blocker is, and when to escalate. You explain things in plain English. You push back on customer asks when they hurt the pilot. Your call summaries are good enough that the rep just forwards them. What we offer Competitive salary and equity. We share the range on the first call. Seed-stage company backed by Index Ventures ($15M seed). Our founder and CEO is Tom Cupr, who previously founded one of Europe's largest online grocery retailers. You're the first pre-sales hire in your region. The function is yours to build. Remote across Europe / the US, with travel to customer sites in your region and a team offsite once a quarter. How we hire Recruiter screen 45 minutes with Omar (Head of Commercial) on the company and quick intros 45 minutes with Omar going deep on your background Working session: you deliver a demo to us Founder interview We try to close the loop in under three weeks. If this is the kind of problem you want to spend your time on, get in touch.

_ is an On-Demand Talent Platform specialising in the IT and technology sector. We have an opportunity live at the moment looking for an Infrastructure Engineer (Virtualisation) with one of our enterprise clients. All proposals will be reviewed on the Gigged AI platform. In order to send a proposal please head to https://app.gigged.ai/find-a-gig/6gd09q70AEL and create a free talent profile. Start: ASAP Duration: 6-month rolling contract (likely 1–2 years) Rate: £550 per day (inside IR35) Location: Hybrid – 2 days per week in Sheffield office to start (may reduce once established) We are seeking an experienced Infrastructure Engineer (Virtualisation) to join a leading financial services organisation on a contract basis. You will design, build, and support enterprise virtualisation platforms across on-premises and hybrid environments, ensuring stability, performance, and regulatory compliance. This role is key to maintaining secure, resilient, and cost-effective infrastructure, enabling application and platform teams to deliver change safely. Virtualisation Platform Engineering & Operations Build, operate, and maintain enterprise virtualisation platforms (VMware vSphere/ESXi, Hyper-V). Provide day‑2 operational support: monitoring, troubleshooting, performance tuning, capacity optimisation. Execute patching, upgrades, firmware updates, and hardware lifecycle activities. Ensure high availability, clustering, failover, and recovery mechanisms. Platform Lifecycle & Capacity Management Own platform lifecycle processes: build standards, upgrades, decommissioning, technical refreshes. Conduct capacity planning and forecasting to meet business demand. Identify and remediate single points of failure; support disaster recovery testing. Automation & Standardisation Develop and maintain automation for provisioning and configuration (scripting/Infrastructure as Code). Standardise virtualisation builds, templates, and configurations. Support integration with cloud and container platforms in hybrid delivery models. Incident, Problem & Change Management Act as escalation point for complex incidents. Perform root cause analysis and implement preventive actions. Support controlled change execution following ITIL processes. Security, Risk & Compliance Ensure platforms meet security standards, hardening guidelines, and regulatory requirements. Support audits with documentation and operational evidence. Manage vulnerabilities, configuration drift, and access controls. Collaboration & Documentation Work closely with storage, network, OS, cloud, and application teams. Provide technical input for designs and onboarding. Maintain documentation, runbooks, and operational procedures. Essential: Experience with enterprise virtualisation (VMware vSphere/ESXi/vCenter or equivalent). Proven infrastructure engineering or platform operations experience in enterprise environments. Hands-on with upgrades, patching, performance tuning, troubleshooting. Knowledge of server hardware, storage, and networking related to virtualisation. ITIL-aligned operational experience. Strong analytical, troubleshooting, and documentation skills. Desirable: Experience in financial services or regulated industries. Scripting/automation experience (PowerShell, Python) and Infrastructure-as-Code. Knowledge of hybrid integration between virtualisation, cloud, and containers. Disaster recovery/business continuity experience. Personal Attributes: Ownership and accountability for platform stability. Ability to work in global, multi-disciplinary teams. Clear communication with technical and non-technical stakeholders. Proactive, focused on continuous improvement and risk reduction.

📈 Who We Are: We are rebuilding the energy transaction, making it transparent and fair. Our goal is to put power back where it belongs, in the hands of customers and to take on one of the most critical problems of our century, access to low cost electricity. tem exists to fix a broken global energy market that’s long favoured legacy operators, intermediaries, and opaque pricing. Today’s electricity system was not designed for rapid decarbonisation, AI-driven efficiency or fair access for the actual users - businesses and generators. We’ve built the first AI native transaction infrastructure to reinvent how electricity is bought, sold and priced. Our technology is designed to cut out the inefficient fees, automate complex market flows, and bring transparency and fairness to energy transactions at scale. In late 2025, after extraordinary growth, we closed a $75 million Series B - led by Lightspeed Venture Partners with participation from Albion, Atomico, Allianz, Hitachi Ventures,, Hitachi Ventures, Schroders Capital and others - positioning us for global expansion, deeper product innovation and category leadership. We’re scaling internationally and building toward a future where AI-driven infrastructure is foundational to electricity markets worldwide. Since launch, our modern utility product, known as RED, has already facilitated thousands of business customers and billions in energy transaction value, proving that modern software and AI can transform an industry built on legacy systems. At tem, we’re not just building another energy company, we’re rearchitecting market infrastructure so that transparency, efficiency and sustainability become the default, not the exception. 🏅 The Role: Rosso is tem's core IP, the transaction infrastructure that prices electricity for thousands of businesses, balances portfolios in real time, and sits on the critical path for every deal tem closes. Machine learning is at the heart of Rosso, combining forecasting, optimisation and classical ML to process billions of data points and drive thousands of automated decisions a day. Every inference shapes the prices our customers see, so you can immediately see the impact of your work. We have proved the concept with MVPs and POCs to grow to 2% of the UK market. Now we want to take it to the next level and build towards a state of the art solution, to fuel our expansion in the UK and take Rosso international. We're looking for a Senior Staff Machine Learning Engineer to lead pricing ML within Rosso, building a platform that proactively drives growth by targeting the right customers to sign at the right time. Your primary focus will be the pricing engine, which sets the fees added to every quote tem serves, carefully balancing growth and margin. You will also contribute to the systems which manage both short and long-term imbalance decisions to determine how tem deals with it’s exposure across its portfolio. This is a hands-on, senior individual contributor role with significant technical leadership and organisation-wide influence. You will work closely with other MLEs, software engineers and MLOps to bring models to production, and carry real ownership of the technical direction and accountable for its performance. The right person is energised by the greenfield environment: comfortable taking on ambiguity and able to make progress before the path is fully defined. They have built pricing systems that worked and have learned from the times it hasn't. They'll bring that hard-won judgment to a system where the foundations are still being laid, and where early decisions compound. Success will be turning our current reactive system into a pricing engine which proactively drives growth by targeting the right customers to sign at the right time. 🚀 Responsibilities: Own the technical direction for pricing ML: Define what to build and how within the pricing engine, setting the strategy and roadmap for pricing machine learning as a core piece of tem's IP. Build ML systems for price optimisation: Design and implement models that dynamically set prices, balancing the trade-off between signing probability, portfolio balance and margin maximisation. Solve imbalance problems: Develop probabilistic models to optimise risk management and short-term balancing decisions in a highly dynamic environment. Bridge modelling and production: Own the modelling and data layer while working closely with software engineers and MLOps to ensure models are architected for production, contributing to system design decisions that affect performance and reliability. Communicate pricing decisions clearly: Articulate model behaviour, assumptions, and trade-offs to other technical stakeholders so that pricing decisions are understood across the teams that depend on them. 🎯 Requirements: Must-haves: Deep experience building ML systems for pricing, revenue optimisation, or decision-making under uncertainty, with a track record of models that went from concept to production and delivered measurable commercial impact. Strong foundation in stochastic optimisation and probabilistic modelling, with the judgement to formulate ambiguous business problems as the right mathematical approach rather than reaching for familiar tools. Proven first-principles reasoning: you choose between stochastic programming, classical ML, reinforcement learning, or a simple heuristic based on the problem, not the technique you know best. The engineering craft to match your modelling depth: production-grade Python, a high bar for code quality and system design, and the ability to work alongside software engineers as a technical peer across the full ML lifecycle. Senior technical leadership in ML: a track record of setting direction for a significant technical area, influencing cross-functional teams, and translating complex model decisions into clear terms for commercial, product, and engineering stakeholders so they are understood and acted on. Bonus points: Experience with reinforcement learning or causal inference in applied, commercial settings. Familiarity with energy markets, power trading, or portfolio management. PhD or equivalent research depth in a quantitative discipline (statistics, applied mathematics, physics, operations research, or similar). Ability to reason about the trade-offs between optimisation solvers (Gurobi etc) and gradient-based ML methods (PyTorch etc), and the judgement to know when to reach for each. Experience working with high data throughput systems in production. 🗣️ Interview Process: Our processes normally take around 2-3 weeks from first call to offer - please let us know about any adjustments to timelines that may be required. First call with our Talent Team (30 mins). This is to understand your experience, motivations, and discuss the role in more detail. Behaviour Interview with our Head of Data (60 mins). This is your chance to really understand the role, the expectations, and ensure alignment on ways of working. Technical Interview with the Team (90 mins). You'll meet with potential peers in this session and work through a live technical exercise. Culture-Add Interview with Stakeholders (45 mins). The final session will be with two cross-functional stakeholders, and will explore how your values align with ours, and is designed to be a genuine two-way conversation, your chance to understand what it's really like to work at tem. We welcome applications from people of all backgrounds, experiences, and identities, including those that are traditionally underrepresented in the tech and energy sectors. If you’re excited about this role but not sure you meet every requirement, we’d still love to hear from you. Your unique perspective could be exactly what we’re looking for.

Broster Buchanan are partnered global business within the food industry with a turnover of £8Bn+ who are looking for a Fabric Data Engineer to join as they set up an exciting new project team within the group. This would suit an experienced Azure Data Engineer with good Fabric experience looking to join a new, growing team with plenty of exciting projects and cutting tech on the horizon. This will be a mostly remote role but would suit someone near Liverpool, Birmingham or London as there will be ad hoc travel into the office when required for onsite meetings, workshops etc. 1-2 times per month. A salary of £55k - £65k + 10% bonus is on offer. Responsibilities: • Help set up and deliver the future direction of strategy and approach to the management, storage and usage of data, • Collaborate with their wider technology and business teams to ensure goals and visions are aligned and achieved, • Help with setting up the data warehousing and lake processes, including collaborating with their architecture teams to figure out what that will look like, • At times, guide and mentor the junior data engineers within the team, reviewing their ideas, providing feedback and identifying their knowledge gaps to support their development, • Design, develop, and manage data pipelines using Fabric Data Factory, • Leverage Fabric Data Integration for seamless data source integration, • Implement and maintain robust data governance frameworks with Fabric Data Management, • Create and maintain interactive dashboards and visualizations in Power BI and Tableau, • Collaborate with cross-functional teams to gather requirements and translate them into technical solutions, • Monitor and troubleshoot data processes, ensuring performance and reliability, • Document data workflows, processes, and system architecture Requirements: • Good experience with Azure technologies for Data Engineering, with 12 months or more using Fabric tools as part of real world projects, ideally through the end to end project lifecycle, • Strong experience with setting up and using big data storage solutions, including data warehouses, data lakes or data lake houses, • Able to build and demonstrate a solid understanding of the concepts of real time data streaming, batch data processing and data transformation processes, • Experience with core tools such as Data Factory, Databricks, Synapse, Kafka and Python, • Any exposure to data migration/ETL would be highly beneficial, with SQL/T-SQL, SSIS, SSRS and SSAS, as there is a large data migration project planned, • Any previous experience with setting up data governance and processes would be highly beneficial, • Good proficiency in Power BI and Tableau, • Strong knowledge of data integration techniques and ETL/ELT processes, • Experience with data modelling, data warehousing, and data governance best practices

We are seeking a Senior SRE with experience of working with scaled SaaS production infrastructure. The successful candidate will work as part of a team focused on site reliability, security, and scalability, as we manage our rapid growth. The ideal candidate will be a proactive and driven individual, who excels at understanding and working on complex technical solutions requiring performance and optimisation at scale. Our core technologies include PHP, MySQL, Vue.js and AWS. Participating in an on-call roster is required as part of this role. #LI-Remote • Act as a senior member of the SRE team, supporting activities including the backlog and workload of the team, scoping requirements, peer review of code, providing feedback to the rest of the team., • Represent the team in management and stakeholder meetings. Ensure best practices are kept, and suggest improvements to our development processes where you see gaps., • Investigate, test, and resolve technical problems, working closely with other engineers to deliver core product functionality., • Defining SLOs, SLIs, and SLAs for key metrics that indicate the health, security, stability and uptime of production, staging and development environments, • Monitoring the above environments and reacting to alerts and issues that may arise in day-to-day operation of their product line., • Participate in an on-call rota for priority-1 level alarms with the rest of the Platform teams, • Ongoing upgrades and improvements to operational processes to optimise performance, stability and cost., • Working with the platform engineering team to contribute to the planning of how we carry application/infrastructure releases and configuration changes., • Interact with internal teams and external 3rd party vendors to troubleshoot and resolve complex problems, • 5+ years experience in an engineering role responsible for supporting a scaled SaaS platform running on Linux in a cloud environment, • Experience working with high-performance systems, and solving complex engineering problems at scale (our platform processes ~100 Billion messages per year), • Understanding of distributed systems design – including asynchronous tasks, event driven architecture, scheduling, caching and queue processing, • Ability to apply distributed systems design knowledge to resolve scaling constraints. The capability to carry out performance tuning from the API to Application to Database layer of the platform., • Strong communication skills and ability to explain complex technical solutions simply to others, • Strong understanding of PHP, GoLang, MySQL, Opentelemetry, Prometheus, • Experience with Cloud and DevOps technologies (AWS, Terraform, CI/CD etc.), • Experience with specific technologies in our stack: Clickhouse, Kafka, Pulsar, Python, • Experience with networking and security concepts, • Interest or experience with marketing technologies, • Interest or experience with big data, data analytics, AI and machine learningIreland (Dublin) or UK (London or Milton Keynes)

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a _ (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a _ company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in _, committed to making a positive impact on its customers, employees, and communities. The Role Veeva Link seeks a mid-to-senior level Front End Engineer (React) that will participate in all aspects of architecting and developing new and innovative web applications. You will have the opportunity to work on cutting-edge technology and new product development in an established company that is rapidly growing. This is a great opportunity for an engineer looking to expand their well-established career, who is excited about search, solving complex problems, ownership, and who enjoys working with technologies like React, Python, AWS, and Elasticsearch. You have to be based in the UK and be eligible for employment in the UK, as Veeva does not sponsor employment visa/permit processes for this opportunity. \n What You'll Do • Build scalable web applications utilizing open-source tools and technologies, • Use REST and GraphQL APIs, • Be able to work independently while communicating progress to other members of the team, • Lead the technical planning, user story and technical acceptance creation, and coding, • Identify and correct complex bugs and problems, • Plan technical architectures that minimize or eliminate performance problems, complexity, or solution fragility, • Implement a front end based on mock-ups and, in some cases, based on visual design, • Develop a front end using the latest responsive design development techniques Requirements • 3+ years of professional experience building scalable and reliable web applications is required, • Experience with React or another comparable JavaScript framework, • Deep understanding of front-end technologies, such as JavaScript, HTML, and CSS, • Unit test and debugging skills, • Independent, self-managed, and motivated, • Good command of the English language Nice to Have • Experience with any of the following would be a plus: Python, Django, AWS (or another cloud provider), any RDBS, Elasticsearch, Redis, • Have a bachelor’s degree in Computer Science, Engineering, or Information Systems \n #RemoteUK Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at _.

Data Engineer – Remote Working / London circ £60,000 - £70,000 Experienced Data Engineer required for this remote working / hybrid position based in West London (near Feltham, Hanworth, Hounslow etc). Ideally the successful candidate will be able to work on site once or twice a week, however the client would also consider candidates looking for a remote working role as long as they can be onsite once a month. The Data Engineer will join a small team and play a key role in developing and managing data integration projects as our client transitions data from legacy systems into modern infrastructure, reporting and analytics. The key responsibilities for the post include; • Design and develop a modern data warehouse (Azure or Snowflake), capable of ingesting data from multiple sources and that can store and organise large volumes of data., • Develop and implement an automated, repeatable data migration process suitable for use over multiple project phases., • Actively review data quality assessments, addressing any inconsistencies and apply data cleansing and validation techniques., • Build data pipelines that clean, transform, and aggregate data from disparate sources., • Stay up-to-date with emerging trends and technologies in data engineering. To be considered for the post you’ll need most, if not all the following:, • Proven experience (5 years+) in a data engineering or similar role, • Strong proficiency in SQL and database technologies (e.g. MS SQL, Snowflake), • Hands-on experience with ETL/ELT tools (Azure Data factory, DBT, AWS Glue, etc), • Strong Proficiency in Power BI and Advanced Analytics., • Good proficiency in Python for data processing, scripting and automation., • Any experience with DBT, Airbyte or similar transformation and replication products is advantageous., • Experience with data migration and mapping complex relational data between business systems., • Strong analytical skills with the ability to translate business requirements into data engineering solutions., • Excellent problem-solving abilities, attention to detail and ability to work independently or in a team., • Effective communication and interpersonal skills to foster relationships with stakeholders at all levels., • Degree in Computer Science, Information Systems, Data Science or a related field. Salary will be dependent on experience and likely to be in the region of £60,000 - £70,000. Candidates must be authorised to work in the UK and not require sponsoring either now or in the future. For further information, please send your CV to Wayne Young at Young’s Employment Services Ltd. YES acts in the capacity of both an Employment Agent and Employment Business.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Machine Learning expert, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational STEM problems that simulate real scientific workflows., • Create problems that require Python programming to solve., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains and creative problem-solving approaches., • Verify solutions using Python with standard libraries (numpy, pandas, scipy, sklearn)., • Document problem statements clearly and provide verified correct answers. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Master’s or PhD Degree in Computer Science, Mathematics, Physics, Engineering, or a similar STEM field., • You have at least 5 years of Machine Learning experience with proven business impact., • Strong programming skills in Python (numpy, pandas, scipy, sklearn)., • Solid understanding of numerical methods and computational algorithms., • Research or industry experience involving computational problem-solving., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

Lead Full Stack Developer (SC Cleared) Location: Remote The Company: At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff. Job Overview We are seeking a highly skilled Lead Full Stack Developer t join our dynamic team. You’ll spearhead the development and enhancement of web applications using React, Next.js, Node.js, and Python Flask. You'll oversee the cloud infrastructure on Azure, ensuring scalability and reliability. Additionally, you'll design and maintain databases and integrate authentication and messaging. Your role includes designing secure, high-performance API endpoints and collaborating with cross-functional teams to deliver innovative solutions. We're looking for a proactive individual passionate about technology and continuous learning, who can stay updated with industry trends and contribute to a variety of projects. Key Responsibilities: • Design and Develop: Create, design, and maintain robust and scalable web applications using React, Next.js, Node.js, and Python Flask., • Cloud Services: Implement and manage cloud-based solutions using Azure., • Data Management: Design and maintain database systems using Postgres and Typescript ORMJS., • API Development: Design and implement API endpoints, ensuring they are secure, reliable, and efficient., • Integration: Integrate various systems and services, ensuring seamless communication using Keycloak for authentication and KUBEMQ for messaging., • Collaboration: Work collaboratively with other team members, including front-end developers, back-end developers, and QA engineers., • Continuous Improvement: Stay up-to-date with the latest industry trends and technologies to continually improve the development process. Experience: Technical Skills: • Leadership experience, • Proficiency with Azure for cloud services., • Strong knowledge of React, Next.js, and Node.js., • Experience with SPlink and Python Flask., • Expertise in Postgres and Typescript ORMJS., • Knowledge of Keycloak for authentication and KUBEMQ for messaging., • Proficient in API endpoint design and implementation. Why Join Us? Be part of a dynamic and innovative team, with opportunities for professional growth and development. Competitive salary and benefits package. Opportunity to shape and influence asset management strategy in a fast-paced environment. Benefits: Join a rapidly expanding start-up where personal growth is a part of our DNA. Benefit from a flexible work environment focused on deliverable outcomes. Receive private medical insurance through Aviva. Enjoy the benefits of a company pension plan through Nest. 25 days of annual leave plus UK bank holidays. Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources. Participate in a generous employee referral program. A highly collaborative and collegial environment with opportunities for career advancement. Be encouraged to take bold steps and embrace a mindset of experimentation. Choose your preferred device, PC or Mac. Diversity & Inclusion: Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes: Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued. Prohibiting all forms of harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all. Educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace. By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities. All employees (Must hold current active SC Clearance). Please be advised that, at this time, we are unable to consider candidates who require sponsorship or hold a visa of any type. What Happens Next? Our Talent Acquisition Team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a _ (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a _ company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in _, committed to making a positive impact on its customers, employees, and communities. The Role Veeva Link supports the life sciences industry to connect with key people to improve research and care. It helps professionals to find the right people for, e.g., clinical trials, education programs, or advisory boards. This streamlined access helps to reduce the time-to-market of important drugs, conduct trials with the most relevant experts in the respective field, and spread information about new treatments to key people in the life science community. You can read more about Veeva Link on our product pages at _. As a data engineer, you focus on our data pipelines and take responsibility for a major part of the Link data processing platform. We value end-to-end ownership, which puts you into the sweet spot of finding, designing, and implementing improvements to the product's data pipelines and adjusting them to changing demands of the market. You take responsibility for features and innovation using SOLID and clean software principles, take part in the architectural enhancement process and care for the quality of the outcome. Monitoring, metrics, and general observability are part of the feature design process. We hire the same role for different engineering domains: Sourcing, Tagging, Matching, and Provisioning. Depending on the engineering domain, you will focus on different aspects. We decide together which domains fit best for you. \n What You'll Do • Work on Veeva Link’s next-gen Data Platform, • Improve our current environment with features, refactoring, and innovation, • Work with JVM-based languages or Python on Spark-based data pipelines, • Operate ML models in close cooperation with our data science team, • Experiment in your domain to improve precision, recall, or cost savings Requirements • Expert skills in Java or Python, • Experience with Apache Spark or PySpark, • Experience writing software for the cloud (AWS or GCP), • Speaking and writing in English enables you to take part in day-to-day conversations in the team and contribute to deep technical discussions Nice to Have • Experience with operating machine learning models (e.g., MLFlow), • Experience with Data Lakes, Lakehouses, and Warehouses (e.g., DeltaLake, Redshift), • DevOps skills, including terraform and general CI/CD experience, • Previously worked in agile environments, • Experience with expert systems Perks & Benefits • Comprehensive benefits package, • Annual allocations for continuous learning, development & charitable contributions, • Fitness reimbursement, • Veeva Work-Anywhere \n #RemoteUK Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at _.

The Role uMotif’s Customer Support team is looking for a UK based Support Specialist who would be responsible for supporting customers during core UK business hours. The role is based remotely in the UK, although the current team is based in both the UK and US and covers the UK, European and US time zones. In this role, you will provide day to day technical and customer support for our data capture solutions. This includes being responsible for and triaging support tickets as they are received which can vary from assisting our users, making database data changes, producing data reports and extracts, investigating and solving technical issues and supporting your team and the wider business to provide an exceptional support service. At the core of the role is the ability to interrogate, manage and update captured data using SQL/MYSQL whilst adhering to data privacy and regulated data management guidelines, so we ask for 3+ years of experience providing customer support with at least 2 years demonstrable SQL skills. What will you do? • Serve as the escalation point for support cases including overall triage., • Help maintain and support our internal ticketing tools and communication channels., • Investigate and resolve 1st, 2nd and some 3rd line support issues., • Escalate complex 3rd line support issues if unable to resolve within the team., • Ensure issues are responded to within predefined company SLAs., • As a team provide continuous product support during core UK, Europe and US working hours., • Work with our third party 1st line support vendor ensuring a seamless support service., • Provide support to system users in multiple countries predominantly via email and our support ticketing system, with occasional client calls as needed., • Build professional rapport with internal and external clients by demonstrating empathy and strong communication skills and clearly document all communication with system users., • Follow up with customers to ensure full resolution, providing timely updates of progress along the way., • Become proficient in core applications in the uMotif product suite and share this knowledge with all other internal cross-functional teams as necessary., • Work in harmony with all business departments to ensure a complete support function., • Promote good practice and contribute towards knowledge sharing and process documentation., • Develop an understanding of customer processes and standard operating procedures., • Gain knowledge of clinical research workflows to support understanding and context of customer questions., • Facilitate troubleshooting and communication across multiple teams to provide customers with effective solutions quickly. When a solution is not readily available, collaborate with other internal resources., • Demonstrate responsiveness and sense of urgency in all customer interactions., • Advocate for customers by tracking and communicating suggestions for software enhancements., • Perform other job-related duties as assigned. What you need to succeed • Prior technical support experience is preferred, especially in healthcare, life sciences, clinical research or related fields., • 3+ years of experience providing customer support with at least 2 years demonstrable SQL skills., • Excellent verbal and written communication skills and the ability to work optimally in a remote team environment., • Initiative and desire to learn new skills/technologies and remain up-to-date with the latest trends., • Excited by firefighting and a real passion for solving technical problems., • Experience working with and improving support ticketing systems, ideally Jira Service Management., • Committed to working within a team that promotes the uMotif culture., • Thrives in a fast-paced, dynamic environment., • A team player who puts the success of the team first and is motivated by helping clients and finds satisfaction in helping to resolve the issues of others., • A resourceful problem-solver who seeks out effective and efficient solutions., • Strong time management skills and ability to effectively manage multiple priorities., • Experience working within regulated environments, for example GDPR, GCP & HIPAA., • Any exposure to the following would be a real bonus: Command Line, PHP, Python, CSS, HTML, XML, JSON, Javascript., • Any experience with the following tools: Jira, AWS, Jira Service Management, Tableau, Slack, Gitlab, iOS & Android environments, MDM, Microsoft Office & GSuite. Why uMotif? • Unlimited paid holiday allowance after probation, • Contributory Salary Sacrifice pension, • Private Health Insurance via Vitality, • Simplyhealth cashback scheme, • 5x salary Life Insurance, • Full pay for the first 13 weeks of SMP during maternity leave, • Perkbox subscription, • Salary Sacrifice Cycle scheme, • Remote working, • Home office allowance, • WFH expense contribution About us Our Company uMotif’s mission is to put patients at the centre of research by building data capture solutions people love to use. Designed with patients for patients, the uMotif platform supports data capture for each phase of clinical research across all therapeutic areas. Over 22,000 participants use our applications to track and submit e-consent, symptom, eCOA, ePRO, and wearable device data. With expertise in engaging patients and fast deployments, we work with ten of the top twenty global pharmaceutical companies to power large real-world evidence (RWE) and virtual studies. Our core values: Patients First - We care about patients and put them first; from our products to our business decisions. Teamwork - Through collaborating with and supporting each other, our customers, and our partners we succeed together. Innovation - We work innovatively to design, build, and deliver engaging technology. Team uMotif are united in our belief that patient-centric thinking combined with beautiful technology and effective teamwork can truly change clinical research for the better. We search for mission-driven people who are not afraid to be challenged - who want to tackle demanding problems and embrace innovative ideas. uMotif is an equal opportunities employer We positively encourage applications from suitably qualified and eligible candidates regardless of sex, race, disability, age, sexual orientation, gender reassignment, religion or belief, marital status, or pregnancy and maternity. We want everyone at uMotif to be comfortable bringing their true self to work. That means acknowledging your personality, including the quirky bits, and bringing your interests, hopes, dreams, and even fears with you is fine, even if they don't seem relevant to your work.

About AQEMIA AQEMIA is a next-gen pharmatech company generating one of the world's fastest-growing drug discovery pipeline. Our mission is to design fast innovative drug candidates for dozens of critical diseases, such as immuno-oncology. Our unique approach leverages quantum-inspired physics algorithms to power generative AI in designing novel drug candidates—without relying on experimental data. We already delivered several drug discovery successes within our internal pipeline and through collaborations with pharmaceutical companies. Our most advanced programs are currently in vivo optimization. About the team you’ll join:As a Senior AI Research Scientist, you will join one of Aqemia’s Drug Discovery Platform AI Teams, composed of 5 AI Researchers, and lead efforts to develop cutting-edge AI algorithms to model protein-ligand systems and predict molecular properties. You will be a hands-on technical expert pushing the boundaries of what AI can do for drug discovery. Your deep knowledge of machine learning, strong coding foundations, and applied experience in model development will play a key role in advancing our Drug Discovery Platform.You will act as a technical mentor, contribute to high-impact R&D projects, and help integrate innovative AI methodologies into real-world drug discovery applications. • Lead the design and the technical implementation of novel ML algorithms with a strong focus on deep learning, generative models, graph neural networks, and physics-informed AI to predict molecular properties and protein-ligand interactions., • Take part in cutting-edge research and bibliographic exploration. You’ll identify relevant recent publications, benchmark promising ideas, and propose model or pipeline improvements., • Act as a mentor to junior team members, offering guidance on system design, model implementation, debugging, and good coding practices., • Collaborate with AI researchers, computational chemists, and drug discovery teams to translate AI models into actionable scientific insights., • Be deeply involved in coding, from prototyping to deploying production-ready models. You should have a strong software engineering mindset and a passion for writing clean, efficient, and scalable code., • Share best practices in deep learning model development, testing, and reproducibility within the team., • Scale AI models for real-world applications, optimizing model efficiency, interpretability, and generalization to unseen chemical spaces., • Strong problem-solving skills, autonomy and a collaborative mindset., • PhD or equivalent practical experience in Machine Learning, Computer Science, Applied Mathematics or a related field, with at least 8 years of experience., • Strong programming skills in Python and proficiency with Deep Learning frameworks (e.g., PyTorch, JAX, TensorFlow)., • Demonstrated hands-on experience implementing and deploying deep learning models in production or research environments., • Strong scientific rigor, curiosity, and ability to perform bibliographic research and exploratory R&D., • Experience in drug discovery, chemistry, or physics., • Experience with physics-informed ML models., • Familiarity with high-performance computing (HPC) and cloud-based ML pipelines.Interview Process- Screening call with Talent Acquisition (30 min)- Interview with your future Manager (45 min)- 1st technical interview: Paper review (1.5 hours)- 2nd technical interview: Take-home ML case (1.5 hours)- Interview with VP Platform and co-founders (1 hour each) Preferred MindsetAt Aqemia, we believe that great science thrives in the right mindset and culture. We are looking for candidates who embody the following principles: Pragmatic and Impact-Driven – Focused on delivering solutions that work in real-world applications, balancing scientific rigor with practical usability.Eagerness to Learn – A strong curiosity for scientific advancements and a willingness to continuously expand your expertise.Love for High Scientific Challenges – Enthusiasm for tackling complex problems at the frontier of AI and drug discovery.Team-Oriented – A collaborative spirit, thriving in an interdisciplinary environment.Humility – Open to feedback and different perspectives, always striving for improvement. Aqemia’s Recruitment team leads all recruitment activities for the company. We will not recognise any notional ownership recruitment companies claim over candidates presented directly to hiring managers without our Recruitment team's consent. Unsolicited resumes sent to us from recruiters do not constitute any type of relationship between the recruiter and Aqemia, and we will not be obligated to pay fees should we hire from those resumes. Why Join Us ? At AQEMIA, we work for a mission: joining us means having your own impact on changing the way drugs are discovered, and helping to shape the direction of our fast-growing company and team. Expanding Drug Discovery Pipeline : Focused on critical therapeutic areas like Oncology, CNS, Immuno-inflammation... with in vivo proof of concept/patent stage programs. Collaborations with top Pharma, including a $140M Sanofi deal.Interdisciplinary Team : brilliant talent from tech and life sciences.DeepTech Recognition: Part of French Tech 120 and France 2030.Prime Location : Based in central Paris and London (King's Cross) with the possibility of 2 remote days per week.International Environment : The work language is English - relocation support and French lessons granted if needed.Strong Financial Backing : $100M raised from leading European and International investors

We work with some of the UK’s biggest companies and government departments to provide a pragmatic approach to technology, delivering bespoke software solutions and expert advice. Our clients are increasingly looking to us to help them make the best use of their data. In building data platforms and pipelines, our data engineers create the foundation for diverse data & analytics solutions, including data science and AI. They build data lakes and warehouses, create the processes to extract or access operational data, and transform siloed datasets into integrated data models that allow insight into business performance and problems or training of ML models. These are hands-on, client-facing roles, with openings at senior or lead level to suit your experience. You may be leading teams, setting technical direction, advising clients or solving tough engineering challenges. You'd also be expected to spend some time on-site with clients in the London area on an ad-hoc basis. Our data engineers combine a strong software engineering approach with solid data fundamentals and experience with modern tools. We’re technology agnostic, and we’re open minded when it comes to your existing skillset. • Good experience with some of the technologies and approaches typical in modern data engineering and reporting. Including storage, data pipelines to ingest and transform data, and querying & reporting of analytical data., • You've worked with technologies such as Python, Spark, SQL, Pyspark, PowerBI etc., • You’ve got a background in software engineering, including Front End technologies like JavaScript., • You’re a problem-solver, pragmatically exploring options and finding effective solutions., • An understanding of how to design and build well-structured, maintainable systems., • Strong communication skills and a collaborative approach to work., • You embrace the chance to try new things, learn new skills and grow your experience., • Experience of relevant cloud services within AWS, Azure or GCP., • Experience working in an Agile environment., • Experience working with common vendor products such as Snowflake or Data Bricks., • Experience working with CI/CD tooling., • 25 days’ annual leave, rising to 30 days with each year of service., • Generous family leave policies., • Access to an employer pension scheme, private medical services and Group Life Assurance., • A range of optional benefits such as discounted gym membership and a cycle-to-work scheme., • A meaningful approach to evaluating your performance and providing feedback on your progress.At Scott Logic, we value the flexibility of remote working alongside the value gained from spending time with our colleagues and clients. In our offices you’ll find employee-led clubs and events, as well as free games, books, and refreshments. We have shared values that govern our behavior toward others and the environment. We are proud to be a B Corp, a global movement of businesses driving for a more inclusive, equitable, and regenerative economy.