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Geospatial Data Engineer Job Description Job Purpose: To enhance MapAction’s data processing and automation capabilities Location: Remote but based in the United Kingdom. Salary: £36,000- £40,000 per annum, subject to experience Contract: Full time, substantive position for 12 months. Start ASAP. Reports to: Head of Data & GIS The Opportunity Are you a Data Engineer eager to use your skills to help people in humanitarian crises? At MapAction, you can do exactly that. We are offering an exciting opportunity for a Geospatial Data Engineer ready for their next challenge in a fast-paced, dynamic humanitarian response organisation. You’ll join our Technical Team to support the delivery of geospatial data processing and automation projects, working alongside an incredible community of expert volunteers and colleagues. In this role, you’ll contribute to four core areas of MapAction’s mission: emergency response, preparedness, anticipatory action, and training. These are at the heart of everything we do—and we’d love for you to be part of it. 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 and the Red Cross/Red Crescent Movement, as well as Non-Government Organisations such as World Central Kitchen. MapAction increasingly focused on helping Civil Society Organisations, regional entities and national ministries. 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. We have an exciting and ambitious new strategy which will see us help reduce vulnerability in emergencies for those at greatest risk through supporting local technical and emergency leadership and promoting the exchange of well analysed data. A particular area of focus will be on the use of Anticipatory Action prior to an emergency. What will you do? You will be expected to conduct and automate data processing (extraction, transformation, loading) from various online sources. Requirements will be defined in collaboration with MapAction staff, volunteers or partners. Working with external partners such as UN agencies, NGOs and Disaster Management Agencies is a key part of this position. Main Responsibilities • 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, • Ensure find-ability. availability, scalability, reproducibility, accessibility, interoperability and reusability of all data-products, • 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 Coordinator and Volunteer team, • Support data-related project scoping in collaboration with MapAction’s Head of Data & GIS, • Support internal systems maintenance and administration in collaboration with MapAction’s IT Support Engineer, • Engage with MapAction’s Volunteer team on data-related projects, • Support development of Data Engineer and Data Science training materials in collaboration with MapAction’s Head of Capacity Building and Volunteer team 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, • Ability to improvise solutions for emergency response teams Essential: • Degree or equivalent experience in the field of Data Science, Data Engineering, Computer Science, Software Development, Information Technology or a related field, • At least one year of professional experience working in the area of data engineering, • Experience and proficiency working with Python and Jupyter Notebooks, • Experience working with geospatial data (raster and vector), • Databases (NoSQL, SQL, Graph Dbs, Principles of RDBs), • Data pipeline design skills, • Knowledge of cloud platforms like GCP, AWS or Azure, • Experience and understanding of CI/CD pipelines, • Collaborative code management using Git & GitHub Desirable: • Experience with QGIS or ArcGIS, • Experience with Systems Engineering, • Understanding of the Software Development Life cycle (preferably Agile), • Thorough grounding in containerisation e.g. Docker, Kubernetes, • Shell scripting, • Experience with BI, • An interest in software-engineering or data-science e.g. ML / DL / AI / Statistics, • Project management experience, • Humanitarian knowledge/experience Additional Information • This is a remote position and you will be expected to attend some weekend training events throughout the year (camping at various venues around the UK). Travel expenses are paid and reasonable time off in lieu provided., • This is a full time position for 12 months with a possible extension to be confirmed end of 2026, • Required to work remotely and to attend team days near the MapAction office in Oxfordshire at least 6 times a year, at own expense, • 30 days holiday (pro rata) with a workplace pension and also paid training opportunities to help further your career, • Must have the right to live and work in the UK - MapAction is unable to consider candidates who do not already hold appropriate permissions and can not help facilitate a relocation, • Part time of 4 days a week will be considered, please state when applying if you would like 4 or 5 days a week., • Contract may be extended if additional funding is secured This is an important role in a small, highly specialised charity and an appreciation of, and affinity with the humanitarian purpose of the charity is essential, as well as a willingness to take up additional tasks outside of the normal role when needed. Equal opportunities policy MapAction is an Equal Opportunities employer. All employees have a personal responsibility to promote and support measures designed to create a working environment which is free from harassment or discrimination on the grounds of gender, marital status, age, race, religion, disability, sexual orientation, membership of the Traveller community of HIV & AIDS status. MapAction also positively encourages women and those from the BAME community to apply. How to apply: Please provide a CV and cover letter that sets out how you meet the required competencies for the role, this is a mandatory requirement for this position. All applications should be made via our website and GoHire. Deadline for applications is 5th January 2026 however we are running a rolling recruitment and will interview any suitable candidates as soon as they apply.

Description Brego is an automotive technology company using AI and data analytics to help dealerships, lenders, and other industry partners make better vehicle valuation, pricing, and risk decisions. Working at the intersection of software, data, and decision-making, the team focuses on turning complex information into practical products that support smarter outcomes across the automotive market. As a Lead Data Scientist, you will take ownership of the AI (custom neural networks rather than third-party LLM technology) and machine learning capabilities behind products that influence high-value pricing and risk decisions. This is a hands-on technical leadership role where you will be responsible for designing, building, deploying, and continuously improving production machine learning systems from end to end. You will own the full lifecycle of models, from feature engineering and training through deployment, monitoring, retraining, and ongoing optimisation, working independently while collaborating closely with engineering and product teams to deliver measurable business impact. • Own the end-to-end lifecycle of production machine learning models, from problem definition through deployment and ongoing optimisation., • Design, build and deploy artificial neural network and machine learning models for vehicle valuation, pricing and other analytics., • Take responsibility for production model performance, reliability and long-term maintenance., • Evaluate model performance and improve predictive accuracy across production models., • Develop and maintain automated retraining pipelines to keep models effective over time., • Monitor deployed models, investigate issues and implement improvements to ensure models remain accurate and reliable., • Design and run experiments, track results and use data to drive model improvements., • Work closely with engineering and product teams to integrate models into production systems and deliver business value. Requirements Must have: • 5+ years of experience building and deploying machine learning models in production environments., • Strong experience developing and training neural networks for real-world applications., • Strong experience with the Python data science ecosystem, including pandas, NumPy and scikit-learn., • Hands-on experience with PyTorch or TensorFlow., • Strong understanding of machine learning, statistics, and model evaluation methodologies., • Experience taking machine learning models from concept through deployment and ongoing production ownership., • Experience evaluating model performance, improving predictive accuracy, and maintaining retraining pipelines, model monitoring, and experiment tracking., • Experience with feature engineering and working with large, real-world datasets., • Experience writing clean, maintainable, production-quality Python code., • Experience with SQL for data analysis and data manipulation., • Experience deploying ML workloads in cloud environments., • Ability to independently own technical projects and make sound engineering decisions with minimal supervision., • Strong problem-solving skills with the ability to investigate complex data and modelling challenges., • Strong communication skills, with the ability to explain technical concepts to both technical and non-technical stakeholders., • Experience collaborating with software engineers, product managers, and data engineers., • Eligible to work in the UK. Nice to have: • Experience in the automotive industry or with vehicle data., • Experience in pricing, forecasting, risk modelling, or other predictive analytics domains., • Experience with MLOps tooling and infrastructure., • Experience building automated data and model pipelines., • Experience mentoring or providing technical leadership to other data scientists or engineers. Benefits • Competitive salary of £90,000 - £110,000 per year, depending on experience., • Private healthcare., • Pension scheme., • Fully remote role with flexible working hours., • Working from home allowance., • Choice of Apple MacBook Pro or high-spec Windows workstation., • Learning and progression opportunities., • Optional access to our Silverstone office. The team usually meets there around one day per week, but attendance is entirely optional., • High levels of ownership and autonomy with the opportunity to shape the company’s AI strategy., • Collaborative, low-bureaucracy engineering culture that values autonomy, integrity and innovation., • Regular company social events., • 25 days annual leave plus 3 additional days between Christmas and New Year.

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.

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 _

About TetraScience TetraScience is the Scientific Data and AI Company building Tetra OS, the operating system for scientific intelligence. We help the world’s leading life sciences firms turn fragmented scientific data into AI-native assets and scientific workflows that accelerate discovery, development, and manufacturing. TetraScience’s growing ecosystem of strategic partners includes NVIDIA, Databricks, Thermo Fisher Scientific, Snowflake, Google, and Microsoft. In connection with your candidacy, you will be asked to carefully review “_,” authored by our CEO, Patrick Grady; it is impossible to overstate the importance of this document, and you should take it literally as you decide whether our mission, culture, and expectations are right for you. What You Will Do TetraScience is looking for a Technical Enablement Lead / Developer Relations Lead for the EU. The ideal candidate should have expertise in customer and field enablement, adult learning principles, educational program creation, use case architecture and implementation, and a genuine passion for Data and AI technologies. The candidate should be driven by a desire to educate and inspire, and have the technical skills to quickly prototype new ideas and solutions. And finally, the candidate should seek to ensure developers can be successful with minimal friction, and champion product and process changes that make this a reality. You will work to understand the needs of different user personas (data scientists, machine learning engineers, scientists and R&D IT analysts), analyze their data environment, assist in the design and implementation of self-service solutions, and create training artifacts to accelerate adoption and growth. This is a technical enablement role, interfacing between internal and external stakeholders including; sales teams, technical teams, customers and potential customers. Your expertise not only covers the technical aspects of data integration, storage, access and architectures but also includes the skills to convey complex technical concepts in a way that aligns with business needs and potential solutions. Your work will directly impact how developers adopt TetraScience’s Scientific Data & AI Cloud, leverage new platform capabilities, and innovate in our ecosystem. You’ll collaborate closely with Product, Platform Engineering, Field Engineering, Customer Engagement & Support, Sales, and Marketing teams to empower customers, technical field team members, and all customer-facing technical roles through exceptional enablement programs. You’ll set the strategy for EU developer experience and community, including partners, customers, and independent developers; and be responsible for how developers discover, onboard, build, and scale applications. This role will be pivotal in growing our developer ecosystem, gathering crucial feedback to inform product development. Your work will educate and inspire the biopharmaceutical industry as to the power of an open ecosystem where precisely engineered scientific data flows freely and without restrictions. Your success in this role will directly shape TetraScience's growth trajectory and market position while ensuring our platform is accelerating science and patient outcomes across countless use cases. Responsibilities • Scientific & Domain Expertise, • Deep understanding of pharmaceutical/life sciences R&D workflows, data, and scientific principles, • Ability to engage credibly with data scientists, lab scientists, and R&D IT stakeholders, • Technical Skills, • Able to code and build practical solutions using scientific data platforms, pipelines, and apps, • Translate complex technical problems into working implementations within a pharma context, • Training & Enablement, • Design and deliver in-person training sessions, workshops, and demonstrations for both technical and non-technical audiences, • Create supporting materials: tutorials, documentation, sample code, and best practice guides, • Communication & Collaboration, • Translate technical and scientific concepts into clear, accessible language for non-technical stakeholders, • Collaborate with Product, Engineering, and UX teams to surface customer feedback as actionable requirements Must Have: • 2+ years professional experience in a Life Sciences company and/or a scientific background, • 3+ years professional experience as data scientist, scientific data engineer, or solutions architect, • 2+ years professional experience in technical enablement and/or developer relations, • Solid experience running large scale enablement programs, and how to evangelize and roll out the programs effectively across the organization, • Exceptional communication, storytelling, and presentation skills, coupled with a strong executive presence and the ability to effectively influence and engage large audiences, • Strong technical background with hands-on experience in SQL, Python, and modern data stack technologies, • Deep understanding of drug discovery, development, and manufacturing processes, • Ability to travel regularly to customer locations and whiteboard the product strategy with them, • Experience with data governance, privacy, and compliance considerations, • Exceptional stakeholder management skills with ability to influence C-level executives, • Ability to deal with ambiguity and thrive in a constantly changing and evolving work environment, • Experience working with high-bandwidth and high-energy professionals, • Insatiable curiosity to learn, develop, and grow year-over-year, • Great interpersonal skills and an ability to coordinate and drive initiatives supporting multiple teams Nice To Have: • Experience at high-growth SaaS companies with complex data needs, • Previous experience as a practicing bench scientist is highly valued, • Previous experience within a biopharma company in an IT related function is a big plus, • Background in technical support / field service highly valuable - this demonstrates your ability to internalize complexities and tailor explanations for a given audience, • Familiarity with enterprise sales processs within the pharmaceutical sector, • Experience with AWS application stack, • Competitive Salary and equity in a fast-growing company., • Supportive, team-oriented culture of continuous improvement., • Generous paid time off (PTO)., • Flexible working arrangements - Remote work. We are not currently providing visa sponsorship for this position

Are you a highly skilled Senior Backend Engineer with a passion for Data and Machine Learning, ready to make a global impact? Join Spotify's Commerce Platform to build the next generation of our robust, high-performing, and resilient payments ecosystem. This is a unique opportunity to solve complex challenges, work with ML-powered systems, and contribute to the core of Spotify's revenue-generating systems. As part of Spotify's Commerce Platform, we in the Pay-In domain own the critical backend services and extensive datasets that power the users’ payment journey. You will join one of the sub-teams in the Pay-In domain, which develops and maintains the systems that integrate with payment providers, manage disputes, and leverage ML for fraud detection and prevention. The reliability of these systems is business-critical for Spotify. • Architect, design, and implement highly scalable backend services (Java/Python) and robust data pipelines that power Spotify’s internal Commerce platform., • Develop and enhance our ML-powered systems taking solutions from concept to production., • Take the lead on API design, platform development, and ensuring the scalability, reliability, and performance of our services., • Collaborate with a talented, cross-functional team of engineers, product managers, and data scientists to deliver impactful solutions., • Mentor other engineers and foster a culture of continuous learning and technical excellence within the team., • You have significant experience building and scaling backend services (Java and/or Python) in a large-scale, cloud-native environment like Google Cloud Platform., • You have hands-on experience with Machine Learning, including developing, deploying, or maintaining ML models in a production environment., • You have proven experience building and maintaining data pipelines to support ML and analytics use cases., • You possess practical knowledge of scalable database technologies, such as PostgreSQL., • You are a proactive, self-driven engineer with excellent problem-solving skills and a pragmatic approach to tackling challenges., • You are an exceptional communicator and collaborator, comfortable leading technical discussions and working effectively with diverse teams., • Previous experience in e-commerce, financial engineering, or high-volume transaction processing is a plus., • This role is based in London., • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.

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: Business Analyst / Data Analyst – Banking Domain Location: London or Edinburg Job Type: Contract/ Hybrid Experience: 8+ years Domain: Banking / Financial Services Job Summary: We are seeking a highly skilled Techno-Functional Business Analyst / Data Analyst with strong experience in the banking domain to join our team. The ideal candidate will bridge the gap between business and technology, working closely with stakeholders, product owners, and technical teams to define, design, and deliver data-driven solutions. The role requires a blend of domain knowledge, analytical thinking, and hands-on technical skills. Key Responsibilities: Act as the liaison between business stakeholders and technical teams to gather and document functional and non-functional requirements. Translate business needs into detailed specifications, data models, and interface definitions (e.g., Swagger / JSON APIs). Analyze large sets of banking data for insights and trends, supporting data-driven decision-making. Write complex SQL queries for data extraction, transformation, and analysis. Support the development and testing of data pipelines, reports, and dashboards. Assist in UAT (User Acceptance Testing) and validation of end-to-end solutions. Prepare BRD, FRD, use cases, process flows, and mapping documents. Collaborate on solution design, data architecture, and systems integration (e.g., with core banking, payment gateways, or third-party platforms). Ensure compliance with data privacy and banking regulations such as Basel III, GDPR, or local regulatory requirements. Required Skills & Experience: 5+ years of experience as a Business Analyst or Data Analyst in the banking or financial services sector. Strong understanding of banking operations – retail, corporate, payments, lending, treasury, or risk. Technical expertise in: SQL, data analysis, and data visualization tools (Power BI/Tableau/Qlik) APIs (knowledge of JSON, RESTful services, Swagger/OpenAPI specs) Excel, ETL tools, and basic scripting (Python is a plus) Experience working in Agile/Scrum environments. Strong documentation and communication skills. Ability to collaborate with cross-functional global teams.

My client is based in the London area, is currently looking to recruit an experienced Data Engineer to join their AI Analytics team. They are one of the leaders within the AI space. They are currently going through a period of growth and are looking for an experienced Data Engineer to join their team. They are backed by a huge multinational equity firm who are looking to bolster my client's financial position. They are expected to see year-on-year growth, which will allow them to implement and utilise the most in-demand and cutting-edge technology on the market right now. Main Responsibilities • Develop scalable systems and reusable components that serve as reference points for new team members., • Create efficient data workflows using distributed computing tools, particularly for large-scale processing and aggregation., • Build responsive, asynchronous APIs and backend processes capable of handling high data volumes with minimal delay., • Utilise AI-powered development tools to enhance productivity and code quality., • Collaborate within Agile teams to refine and monitor data collection systems using Scala and Java., • Apply sound engineering principles such as test-driven development and modular design. Preferred Background • Hands-on experience with Spark and Scala in commercial environments., • Familiarity with Java and Python., • Exposure to distributed data systems and cloud storage platforms., • Experience designing data schemas and analytical databases., • Use of AI tools to streamline development and debugging., • Strong grasp of algorithmic thinking and performance optimisation., • Proficiency with SQL and NoSQL databases such as PostgreSQL and Cassandra., • Experience with systems like Kafka or RabbitMQ., • Ability to build and manage ETL pipelines using tools like Airflow. This role is an urgent requirement. There are limited interview slots left. If interested, send an up-to-date CV to Shoaib Khan - or call for a catch-up in complete confidence. Tenth Revolution Data Teams offer more opportunities across the UK than any other recruiter. We're the proud sponsor and supporter of SQLBits, AWS RE: Invent, Power Platform World Tour, the London Power BI User Group, Newcastle Power BI User Group and Newcastle Data Platform and Cloud User Group.

Role: Senior DevOps Engineer Salary: £95,000 + 5% Bonus Location: Bristol (Ideally 1 day a month but flexible) Overview A leading international law firm is seeking a Solutions DevOps Engineer to support the deployment of AI and LLM-powered tools. You'll work closely with engineering, infrastructure, and product teams to automate deployments, drive cloud efficiency, and ensure secure, scalable delivery of next-gen legal tech. Key Responsibilities Deploy enterprise-grade AI apps using infrastructure as code Automate development, testing, and release pipelines Collaborate with developers and stakeholders to deliver scalable solutions Act as technical lead on internal and vendor-led projects Provide Level 3 support and resolve production incidents Integrate the latest NLP/LLM advancements into real-world tools Ensure systems meet security, performance, and compliance standards Contribute to continuous improvement and strategic planning Ideal Candidate 5+ years in infrastructure, 3+ in DevOps (Azure-focused) Skilled in Microsoft Azure, incl. networking and security Proficient in Python and familiar with ML/AI frameworks Strong communicator with a practical, problem-solving mindset Collaborative, quality-focused, and committed to continuous learning Comfortable with occasional out-of-hours work or travel Tech Stack / Tools Microsoft Azure Azure Document Intelligence Azure Networking & Security Infrastructure as Code (Terraform, ARM) Python ML frameworks (e.g., Hugging Face, OpenAI) CI/CD pipelines DevOps automation tooling

Mid - Snr Software Engineer - Tech for good Location: Remote/Hybrid (UK or Ireland-based, occasional in-person travel) Contract: 9-month fixed-term (Full-time, PAYE) Salary: Up to £65k Make an Impact, Tech That Matters Join a pioneering startup on a mission to break down digital barriers for the deaf community. This company is the first of its kind, using cutting-edge tech to translate digital and written content into sign language - making information truly accessible for everyone. They're small, scrappy, ambitious, and working on a platform that combines AI, microservices, and cloud-native infrastructure to transform how sign language is delivered at scale. Why Join? • Zero tech debt: Build from the ground up - clean slate., • Big purpose: Your work directly improves access to information for underserved communities., • Modern stack: Microservices, Python, FastAPI, React, Azure, AI/ML - all in play., • Ownership: Shape the architecture and engineering culture from day one., • Hybrid freedom: Mostly remote, with occasional travel to meet the team. What You'll Be Doing • Build and ship new customer-facing features across both frontend and backend, • Design scalable systems and contribute to architectural decisions, • Collaborate with product and design to bring ideas to life, • Own your code end-to-end, from implementation to deployment, • Help shape engineering culture in a small, high-impact team You'll Thrive Here If You • Have 6+ years' experience as a full-stack engineer, • Are confident building both frontend (React, Nuxt, JS frameworks) and backend (FastAPI, Node.js, GraphQL, etc.) systems, • Write clean, consistent code quickly and thoughtfully, • Are comfortable moving fast and wearing many hats in an early-stage startup, • Care about inclusion and accessibility - especially for overlooked communities Our tech stack Frontend & Backend • React, Nuxt, JavaScript/TypeScript, • FastAPI, Node.js, • REST, CRUD, GraphQL, WebSockets Cloud & Infra • Azure (core platform), • Microservices architecture, • CI/CD via GitHub Actions & Azure DevOps, • Infrastructure as Code: Terraform, Bicep, Pulumi, etc. Databases & Messaging • PostgreSQL / MySQL (relational), • MongoDB, Redis (NoSQL), • Azure Fabric, Data Factory, • Azure Event Hubs, Kusto QL Tooling & Monitoring • Datadog, CircleCI, Prometheus, Grafana, • Strong focus on observability and fault tolerance Why Join? • Mission-driven: Make a meaningful impact on digital accessibility, • Equity potential if converted to permanent, • High agency and ownership in your work, • Work alongside passionate, creative problem-solvers This is a chance to build the foundations of a meaningful product - one that transforms how Deaf users access information - using modern tech and thoughtful engineering. Interested? Let's talk. CVs, videos, or sign language applications are all welcome. Spectrum IT Recruitment (South) Limited is acting as an Employment Agency in relation to this vacancy.

Senior Data Analyst (Statistical Programming) Celerion is committed to swift, exceptional clinical research through translational medicine. Every day, we use our experience, agility, and innovative research strategies to help get drugs to market faster. Are you looking for an opportunity to support a business creating life-saving treatments? If so, we can't wait to meet you! About the RoleCelerion is seeking a Senior SAS Data Analyst to join our Data Management and Biometrics team in Belfast, Northern Ireland to provide statistical programming support for early-phase clinical research. In this role, you will independently design, develop, maintain SAS programs to support the analysis and reporting of clinical trial data. The Primary Responsibilities of this Position Are:- Independently develop, maintain, and process SAS programs for clinical studies, creating analysis data packages (ADaM), statistical analyses, data listings, tables, and figures.- Perform peer QC, double programming and validation functions for statistical outputs from studies.- Lead statistical programming activities on studies and deliverables. - Assist Management and Biostatisticians with complex projects.- Design and implement SAS programs for standardized use.- Train and mentor junior programmers.- Ensure compliance with statistical analysis plan and departmental procedures. • Minimum of a Bachelor’s Degree in Statistics, Mathematical Science, Physics, or Computing related field., • 4+ years of SAS® programming experience in a CRO or Pharmaceutical industry., • Proficient in Base SAS, SAS Macros, SAS/STAT, SAS/Graph, SAS/ODS., • Experience applying CDISC requirements to generate ADaM datasets and supporting documentation (_, Reviewer’s Guides), demonstrating proficiency in these areas., • Excellent interpersonal skills., • Strong problem-solving and decision-making abilities., • Demonstrates a high level of attention to detail., • Demonstrated ability to work collaboratively as part of a team., • Familiarity with R, Python, and other programming languages preferred. Celerion are an equal opportunities employer

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!

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!

We are open to hiring at multiple levels for this role, depending on experience, impact, and demonstrated ownership. While this role is level-agnostic, it is best suited for engineers with experience owning production systems and working in highly ambiguous problem spaces. Software Engineer About the company: The mining industry has steadily become worse at finding new ore deposits, requiring >10X more capital to make discoveries compared to 30 years ago. The easy-to-find, near-surface deposits have largely been found, and the industry has chronically under-invested in new exploration technology, relying on the manual techniques of yesteryear – even as demand accelerates for copper, lithium, and other metals to build electric vehicles, renewable energy, and data centers. KoBold builds AI models for mineral exploration and deploys those models—alongside our novel sensors—to guide decisions on KoBold-owned-and-operated exploration programs. In the six years since founding, KoBold has become by far both the largest independent mineral exploration company and the largest exploration technology developer. Our data scientists and software engineers, who come from leading technology companies, jointly lead exploration programs with our renowned exploration geologists. KoBold has proven its first discovery with materially less capital than the industry average and found one of the best copper deposits ever discovered: the copper is far more concentrated than the global average of copper mines, and this asset alone is expected to generate meaningful revenue for decades. KoBold has a portfolio of more than 60 other projects, each of which has the potential for another high-quality discovery. KoBold is privately held; investors include institutional asset managers T. Rowe Price and Canada Pension Plan Investments; technology venture capitalists Andreessen Horowitz, Breakthrough Energy Ventures, BOND Capital, Durable Capital, StepStone, and Standard Investments; and natural resources companies Equinor, BHP, and Mitsubishi. We are hiring Software Engineers to accelerate our mission. About The Role: At KoBold, software engineers have the unique opportunity to embed directly with their users and learn the ins and outs of mineral exploration and geology while developing state of the art technology solutions. Unlike traditional software engineering roles, we don’t simply ship code and passively wait for feedback about its utility: our userbase includes our colleagues… and ourselves! While there are real technical challenges in making mineral exploration data broadly searchable and accessible to both humans and machines, we believe that solving these technical challenges cannot be done without “getting our hands dirty” – sometimes literally! – by embedding directly with the exploration teams and even occasionally (~once a year) joining our colleagues in the field, be it in Zambia, Canada, or Arizona, to experience the impact of our software in real time. As a Software Engineer on the Data Systems Engineering team at KoBold, your main role will be to enable systematic exploration and materially improve exploration success rates by making mineral exploration data broadly accessible to humans and machines. Past projects have included SIP (the Structured Ingest Pipeline), DataKit generation (producing curated sets of data on demand), and RAG (Retrieval Augmentation Generation, utilizing natural language processing on unstructured data). Our tech stack is primarily python and includes Django, React, AWS, and additional technologies like Retool and Prefect. Your work will empower KoBold to unlock invaluable insights and streamline intricate scientific processes. Collaborating with our exceptional team of data scientists, geologists, and other software engineers, you will have the opportunity to tackle complex problems head-on and collectively pave the way for the discoveries of vital energy transition metals like lithium, copper, nickel, and cobalt. Together we can shape the future of mineral exploration and contribute to building a sustainable world. This role be responsible for: • Deep engagement with exploration geologists and data scientists, continual learning about mineral exploration, and tailoring technology development to the needs of exploration project scientists, • Building data pipelines and tooling for deriving advanced human and machine insights from exploration data, often leading a small group of software engineers to successful delivery, • Developing expertise in KoBold’s Data Systems and deeply understanding how they impact exploration, • End-to-end ownership of projects from design to implementation and testing to continued engagement with colleagues on exploration teams using your solutions, • Responding well to design and code feedback, also providing feedback to teammates, • Operationally managing the team’s services and assisting scientific colleagues with our tooling Qualifications • 4+ years of software engineering experience, ideally building production cloud data systems, • Proficiency with Python, • Ability to write production-quality code that is correct, readable, well-tested, scalable and extensible, • Skilled in large-scale system design, • A track record of taking ownership from definition of the problem and delivering projects with demonstrated impact in an iterative manner, • Intellectual curiosity and eagerness to learn about all aspects of mineral exploration, particularly in the geology domain. Enjoys constantly learning such that you are driving insights through using our tools in exploration and willing to work directly with geologists in the field., • Ability to explain technical problems to and collaborate on solutions with domain experts who are not software developers. A strong communicator who enjoys working with colleagues across the company., • Excitement about joining a fast-growing early-stage company, comfort with a dynamic work environment, and eagerness to take on an evolving range of responsibilities., • Keen not just to build cool technology, but to figure out what technical product to build to best achieve the business objectives of the company. Nice to Haves • Experience with modern frontend frameworks such as React, • Experience with geospatial data and building map-based experiences, • Familiarity with containerization and container orchestration platforms, such as Docker, AWS ECS, Kubernetes, etc., • Formal education or job exposure to natural sciences The UK base salary range for this full-time exempt position is $120,000 - $210,000 USD. Location: Remote, Candidates can be located anywhere in the United Kingdom. _

Fuse Energy is a forward-thinking renewable energy startup on a mission to deliver a terawatt of renewable energy - fast. We're combining first-principles thinking with cutting-edge technology to build a radically better energy system. We raised $100M from top-tier investors including Multicoin, Balderton, Lakestar, Accel, Creandum, Lowercarbon, Ribbit, Box Group and strategic angels like Nico Rosberg, the Co-Founder of Solana and GPs behind Meta, Revolut, Spotify, Uber and more. We’re creating a fully integrated energy company: from developing solar, wind and hydrogen projects to real-time power trading and distributed energy installations. By selling directly to consumers, we cut out the middleman, lower costs and pass on savings to customers. But we’re not stopping there. We’re also building the Energy Network: a decentralised platform of smart devices that rewards users in Energy Dollars for electrifying their homes, shifting usage to off-peak hours, and helping balance the grid. This network strengthens grid stability - a critical foundation for scaling AI data centers and other energy-intensive industries. We're now looking to establish a cutting-edge AI team. As an Applied AI Engineer, this position is ideal for someone who possesses the technical expertise of a backend engineer but is specifically interested in applied AI and how it can be used to enhance the energy experience for our customers and our internal operations. You'll be working on a variety of exciting projects, including consumer-focused features like the Energy Co-Pilot and the Speedy Onboarding process (leveraging tools such as VLM/LLM). You will also collaborate across teams to build AI tools that enhance productivity and streamline processes within Fuse. • Design, develop and deploy AI-powered features that directly impact consumer experiences, including personalised energy recommendations and seamless onboarding via AI models (e.g. using energy bills for quick setup), • Build and optimise internal AI tools that will make the whole company more productive with a focus on automation and enhancing workflows, • Collaborate with backend engineers and data scientists to integrate AI-driven features into our platforms, • Collaborate with the trading and operations teams to ensure AI models are aligned with real-time market conditions and energy pricing, • Improve AI models to optimise trading strategies by anticipating market shifts based on weather and demand forecasts, • Stay up to date with the latest advancements in applied AI and machine learning and apply them to solve real-world problems within the energy space, • Monitor the performance of AI tools and models, ensuring they are functioning efficiently and effectively, • Minimum 3 years of engineering experience, • Proven experience as a Backend Engineer with a strong interest and practical experience in applied AI or machine learning, • Strong programming skills in Python (or similar languages) with familiarity in AI/ML libraries (TensorFlow, PyTorch, etc.), • Experience working with large-scale models (LLMs/VLMs) and deploying AI-driven solutions into production, • Solid understanding of cloud technologies, containerisation and building scalable AI applications, • Ability to integrate AI/ML models into real-world applications, focusing on usability and performance, • Strong problem-solving skills and a practical approach to implementing AI solutions in a fast-paced environment, • Experience working with large datasets, particularly in relation to demand and supply forecasting Bonus • Experience or strong interest in energy markets and trading strategies, • Understanding of weather forecasting, energy demand patterns, and production modelling, • Exposure to Natural Language Processing (NLP) or other related fields, • Competitive salary and an equity sign-on bonus, • Biannual bonus scheme, • Fully expensed tech to match your needs, • Paid annual leave, • Breakfast and dinner for office based employees

Version 1 has celebrated over 26 years in the IT industry and continues to be trusted by global brands to deliver IT solutions that drive customer success. Version 1 has several strategic technology partners including Microsoft, AWS, Oracle, Red Hat, OutSystems and Snowflake. We’re also an award-winning employer reflecting how employees are at the heart of Version 1. We’ve been awarded: Innovation Partner of the Year Winner 2023 Oracle EMEA Partner Awards, Global Microsoft Modernising Applications Partner of the Year Award 2023, AWS Collaboration Partner of the Year - EMEA 2023 and Best Workplaces for Women by Great Place To Work in UK and Ireland 2023. As a consultancy and service provider, Version 1 is a digital-first environment and we do things differently. We’re focused on our core values; using these we’ve seen significant growth across our practices and our Digital, Data and Cloud team is preparing for the next phase of expansion. This creates new opportunities for driven and skilled individuals to join one of the fastest-growing consultancies globally. We are seeking a skilled Python Developer with experience in the trading domain and FIX protocol to join our dynamic team. The ideal candidate will have a strong background in software development, a deep understanding of trading systems, and expertise in the Financial Information Exchange (FIX) protocol. Key Responsibilities: • Develop, maintain, and enhance trading applications using Python., • Implement and support FIX protocol-based solutions for trading systems., • Collaborate with traders, quants, and other stakeholders to gather requirements and deliver high-quality software solutions., • Optimize and troubleshoot trading algorithms and systems to ensure high performance and reliability., • Participate in code reviews, testing, and deployment processes to ensure code quality and stability., • Stay updated with the latest industry trends and technologies in the trading domain., • Bachelor’s degree in computer science, Engineering, or a related field., • Proven experience for more than 6+ years as a Python Developer in the trading domain., • Experience with trading systems, market data, and order management systems., • Proficiency in Python programming and related frameworks/libraries., • Familiarity with databases (SQL and NoSQL) and data structures., • Excellent problem-solving skills and attention to detail., • Strong communication and teamwork abilities. At Version 1, we believe in providing our employees with a comprehensive benefits package that prioritises their well-being, professional growth, and financial stability. One of our standout advantages is the ability to work with a hybrid schedule along with business travel, allowing our employees to strike a balance between work and life. We also offer a range of tech-related benefits, including an innovative Tech Scheme to help keep our team members up-to-date with the latest technology. We prioritise the health and safety of our employees, providing private medical and life insurance coverage, as well as free eye tests and contributions towards glasses. Our team members can also stay ahead of the curve with incentivized certifications and accreditations, including AWS, Microsoft, Oracle, and Red Hat. Our employee-designed Profit Share scheme divides a portion of our company's profits each quarter amongst employees. We are dedicated to helping our employees reach their full potential, offering Pathways Career Development Quarterly, a programme designed to support professional growth.

Software Engineer (AI-Forward) As a Software Engineer with Texas Sports Academy, you play a key role in building the software that runs our school — student records, academic mastery tracking, training data, parent portals, admissions, and the AI-powered tools our guides and coaches use every day. This is a senior, AI-forward seat. You work directly with the founders, ship code every week with AI in your loop, and own the LLM-powered features that make our school feel nothing like a traditional school. What you will be doing • Designing, building, and shipping product features across the full stack every week, with AI coding tools running alongside you., • Building real LLM-powered product features: tutoring agents, parent-facing copilots, coach-facing dashboards, retrieval over student data, evals for every one of them., • Working directly with the founders on scope, architecture, and trade-offs — no PM layer in between., • Owning the reliability, security, and cost of both classical systems and LLM pipelines., • Running your own AI coding workflow — prompts, subagents, custom tools, MCP servers — and raising the bar on how the whole team uses AI., • Writing evals and regression tests for AI features the same way you'd write unit tests for classical code. What you will NOT be doing • Pretending AI is optional — if you're not already coding with Claude Code, Cursor, Codex, or an equivalent agent loop every day, this role is not for you., • Writing tickets for junior engineers to implement., • Sitting in status meetings all day — few meetings, more shipping., • Working on a narrow slice of a giant codebase. Key responsibilities • Ship production code and AI features real students, parents, and staff rely on every day., • Own at least one major system end-to-end., • Move fast — features go from idea to production in days, not quarters — without breaking things., • Raise the AI-engineering bar as the team grows., • Bachelor's or master's degree in Computer Science, Engineering, Math, or Physics., • 6+ years of full-time production engineering experience shipping software to real users at real scale., • At least one prior senior, staff, or tech-lead role., • Daily, fluent use of AI coding tools (Claude Code, Cursor, Codex, Windsurf, Aider, or equivalent) as your default way of writing software., • At least one shipped LLM-powered feature in production, with an eval story., • Strong skills in a modern web stack (TypeScript / React / Node or Python / Postgres / AWS or GCP)., • Excellent written English, • Legal authorization to work from India or Pakistan as a remote contractor with a US company. Nice to have • Master's or PhD from a tier-1 institution., • Former founder, first-five engineer at a funded startup, or shipped products that reached real users at scale., • Agent frameworks (LangGraph, CrewAI, Mastra, custom), vector search / RAG at scale, evals (Braintrust, LangSmith, custom), prompt caching, MCP servers, structured output / tool-use reliability, voice agents., • Public GitHub or a personal AI project we can actually try., • A personal project you built because you wanted to.

This role is for one of the Weekday's clients Min Experience: 6 years Location: London JobType: full-time We are seeking a highly skilled and experienced Senior Software Engineer with deep expertise in Python to join our growing engineering team. In this role, you will be responsible for designing, developing, and maintaining scalable, high-performance applications while playing a key role in shaping technical architecture and mentoring junior engineers. • Design, develop, and maintain robust, scalable backend systems and APIs using Python., • Lead end-to-end development of complex software solutions, from concept to deployment., • Write clean, efficient, and reusable code following best practices and coding standards., • Collaborate with cross-functional teams including product managers, designers, and DevOps to deliver high-quality features., • Optimize application performance, reliability, and scalability., • Participate in architectural discussions and contribute to technical decision-making., • Conduct code reviews and ensure adherence to quality standards., • Troubleshoot, debug, and resolve production issues in a timely manner., • Mentor junior developers and contribute to building a strong engineering culture., • 6–11 years of professional software development experience with strong expertise in Python., • Solid understanding of Python frameworks such as Django, Flask, or FastAPI., • Experience in building RESTful APIs and microservices architecture., • Strong knowledge of data structures, algorithms, and object-oriented programming., • Hands-on experience with databases such as PostgreSQL, MySQL, or MongoDB., • Familiarity with asynchronous programming and performance optimization techniques., • Experience with cloud platforms (AWS, GCP, or Azure) and containerization tools like Docker., • Knowledge of CI/CD pipelines and version control systems such as Git., • Strong problem-solving skills and the ability to work in a fast-paced environment., • Experience working with distributed systems and event-driven architectures., • Exposure to data processing frameworks or background job systems (Celery, Kafka, etc.)., • Familiarity with testing frameworks and test-driven development (TDD)., • Understanding of security best practices in application development., • Prior experience in leading small teams or projects is a plus., • Excellent communication and collaboration skills., • Strong ownership mindset with attention to detail., • Ability to work independently and manage multiple priorities., • Passion for learning new technologies and continuous improvement.

We are transforming the flexible workspace industry! Valve was founded to propel forward and democratise access to the fast-growing flexible workspace industry. As work transitions to a more distributed and hybrid normal, flexible workspaces will be a key enabler of a richer, more enjoyable workplace experience for employees. We believe flexible workspaces confer huge social, lifestyle and economic benefits to all their occupiers through improved work/life balances, human-centric workplaces, greater communities, and lower occupancy costs. Valve provides vital industry infrastructure to professionalise and accelerate the flexible workspace revolution. Your new role: We’re hiring a world-class Senior Fullstack Engineer to build the next generation of products that power our marketplace and SaaS platform. You’ll join a high-performing team of engineers, working on sales and marketing automation tools that help workspace operators scale. This is a high-impact, product-centric role. You’ll take ownership of feature delivery from design through to deployment, help define architectural choices, and push boundaries on speed, scale, and user experience. You'll collaborate closely with product managers and designers to ship features that matter—and that our customers love. You’ll report directly to our VP of Engineering and work either from our London HQ or remotely within the UK. What will keep you challenged: Participate in the full development lifecycle, including planning, architecture discussions, quality assurance, and implementing a scalable platform. Contribute to the design and development of new features from a technical perspective. Collaborate with your team and Product Manager to propose and execute technical improvements. Generate ideas for code and process enhancements, working with your team to elevate performance and efficiency. Which skills/traits contribute to your success? 5+ years of experience building scalable web applications 3+ years production experience with NodeJS, TypeScript, ReactJS/NextJS, GraphQL & PostgreSQL Experience working with Python Experience working in a product-driven, cross-functional team in a tech-driven startup Excellent communication skills and fluent English A proactive approach to ownership—you don't wait to be told what to do Please note that we are looking for support in our London office. Eligibility to work within the UK is required as well. Our commitment to you: • Competitive salary, • Flexible working - we are pragmatic not dogmatic, be where you are most effective at producing the best outcome for the company., • Investment in your home working setup, we want to support your productivity, satisfaction and effectiveness., • Proven management and leadership team that invests time to progress your career as fast as possible - your rapid success is mutual interest., • Quarterly off-sites, monthly team nights out and annual international company events.Do you want to be part of a fast growing, exciting company? We look forward to receiving your application soon! Our Commitment to Diversity and Inclusion Valve is committed to diversity and equal opportunities for all – applicants and employees alike. We value humans – with all our glorious multifaceted backgrounds, perspectives, and experiences. Our diverse team has different ethnic and cultural origins, gender identities, sexual orientations, family arrangements, religious and political affiliations, socioeconomic statuses, age groups, and abilities.

Amplitude is the leading AI analytics platform, helping over 4,300 customers—including Atlassian, Burger King, NBCUniversal, Square, and Under Armour—build better products and digital experiences. With powerful AI Agents embedded across our platform, teams can analyze, test, and optimize user experiences faster than ever. Ranked #1 across multiple categories by G2, Amplitude is the best-in-class solution for product, data, and marketing teams. Learn more at _. As an organization, we deliver for our customers by living our values. We operate from a place of humility, take ownership of problems and successes, approach challenges with a growth mindset, and put our customers at the center of everything we do. Amplitude’s Commitment to Diversity Equity & Inclusion (DEI): Amplitude believes that diversity enables the creation of better products, improves the ability to solve complex problems, and drives more powerful solutions. We strive to create an environment of inclusion—one focused on psychological safety, empathy, and human connection—that will allow employees of all backgrounds to thrive. Amplitude’s mission is to help companies build better products. By building best-in-class teams, we create best-in-class products that customers love. We approach challenges with humility, we take ownership over our work, and our growth mindset pushes us to constantly improve ourselves, each other, and the value we bring to customers. Join us as we deliver innovative and creative solutions to our customers. We're looking for a Customer Success Architect with technical consulting experience. The role will be critical in driving both technical and analytics programs for our customers in EMEA region. You will be enabling our customers to drive their products forward by driving consultative and technical initiatives connected to the success of the customer and their business priorities. The ideal candidate is an enthusiastic professional who thrives in a fast-paced environment and possesses a strong curiosity for "how things work" and "how things should work". You are a solution- and execution-oriented individual with a dedication for getting things done. Please note, this role can be based in London, UK or Dubai, UAE (depending on where the successful candidate is based) As a Customer Success Architect, you will: • Develop a mastery of Amplitude products in order to provide strategic consultation in taxonomy design, instrumentation, and data governance., • Be an expert in Amplitude Platform in order to successfully guide our customers as they integrate Amplitude into additional data flows and business processes, thereby making Amplitude an integral business partner., • Serve as a trusted technical advisor for our customers., • Gather, organize, and report trends and customer insights to optimize business processes, documentation, and services., • Collaborate cross-functionally with teams like Amplitude's Product, Engineering, Platform Support, and Customer Success Manager to streamline internal processes and improve the data management experience for our customers. You'll be a great addition to the team if you have: • At least 5-8 years of customer-facing technical experience, with a demonstrated record of successfully engaging with enterprise accounts., • Competent in programming languages and concepts that underpin modern web and mobile development (e.g. SQL, JavaScript, Java, Python, Android, iOS, RESTful APIs)., • Execution and customer service oriented, able to effectively prioritize and complete customer deliverables in alignment with customer requirements and drive outcomes., • Excellent verbal and written social, presentation, and interpersonal skills, with the ability to effectively explain complex technical concepts to stakeholders with an array of experience levels and technical competencies., • Problem-solving mentality and positive attitude towards the change that comes with working at a rapidly growing company., • Prior experience working with SaaS solutions in the following domains is preferred: product analytics, digital marketing, A/B testing, business intelligence, customer data platforms, data warehouses/pipelines, or any of our_., • Languages: English fluency is a must have, Russian speaking would be an advantage! By applying for this job, you acknowledge that Amplitude processes your personal data in accordance with the _. Staying Safe - Protect Yourself From Recruitment Fraud We are aware of individuals and entities fraudulently representing themselves as Amplitude recruiters and/or hiring managers. Amplitude will never ask for financial information or payment, or for personal information such as bank account number or social security number during the job application or interview process. Any emails from the Amplitude recruiting team will come from an @ email address. You can learn more about how to protect yourself from these types of fraud by referring to . Please exercise caution and cease communications if something feels suspicious about your interactions.

Who we are: We are a leader in fraud prevention and AML compliance. Our platform uses device intelligence, behavior biometrics, machine learning, and AI to stop fraud before it happens. Today, over 300 banks, retailers, and fintechs worldwide use Sardine to stop identity fraud, payment fraud, account takeovers, and social engineering scams. We have raised $145M from world-class investors, including Andreessen Horowitz, Activant, Visa, Experian, FIS, and Google Ventures. Our culture: We have hubs in the Bay Area, NYC, Austin, and Toronto. However, we maintain a remote-first work culture. #WorkFromAnywhere We hire talented, self-motivated individuals with extreme ownership and high growth orientation. We value performance and not hours worked. We believe you shouldn't have to miss your family dinner, your kid's school play, friends get-together, or doctor's appointments for the sake of adhering to an arbitrary work schedule. Location: Remote; based in UK or EU About the role We’re looking for an Integration Engineer to lead client onboarding for Sardine’s fraud and compliance products. You’ll manage end-to-end integrations, translate technical requirements into solutions, and ensure a smooth, successful deployment. This is a hands-on role working closely with clients and internal teams, perfect for someone who thrives in fast-paced environments and enjoys solving complex problems with practical, scalable solutions. What you’ll be doing Lead implementation and integration efforts for fraud and compliance products Work closely with clients and provide end-to-end support during their onboarding process, setting our clients up for success Own public-facing SDKs, APIs, integration guides, and support documents Analyze clients' requirements from the technical and functional perspectives and design solutions by having a deep understanding of our system and products' capabilities Manage implementation projects, including monitoring project quality, managing timelines, mitigating risk, and driving deliverables Build a deep understanding of customers' business problems, technical requirements, and success criteria so that you can provide solutions utilizing Sardine's technology Provide product feedback to internal stakeholders as the eyes and ears on the ground What you’ll need 3+ years of hands-on experience as an implementation manager, integrations engineer, technical account manager, solution architect, and systems analyst, working with multiple technical teams, both internal and external 1+ years of B2B SaaS experience, preferably working in the relevant domain (payment, fraud, risk, or compliance) Excellent written and verbal communication skills, including the ability to communicate complex technical and business concepts to technical and non-technical personas Excellent organizational skills and the ability to manage multiple projects simultaneously and drive deliverables to completion Experience with basic SQL querying and JSON payload analysis Experience with APIs specs like OpenAPI, web development, and writing scripts to build internal tools (e.g., bash scripting, Python, SQL, Ruby, Golang, Postman) Compensation: Base pay range of 35,000 - 45,000 GBP in UK; 40,000 - 50,000 Euro in EU + Series C equity with tremendous upside potential + Attractive benefits The compensation offered for this role will depend on various factors, including the candidate's location, qualifications, work history, and interview performance, and may differ from the stated range. Benefits we offer: Generous compensation in cash and equity Early exercise for all options, including pre-vested Work from anywhere: Remote-first Culture Flexible paid time off, Year-end break, Self care days off Health insurance, dental, and vision coverage for employees and dependents - US and Canada specific 4% matching in 401k / RRSP - US and Canada specific MacBook Pro delivered to your door One-time stipend to set up a home office — desk, chair, screen, etc. Monthly meal stipend Monthly social meet-up stipend Annual health and wellness stipend Annual Learning stipend Unlimited access to an expert financial advisory Join a fast-growing company with world-class professionals from around the world. If you are seeking a meaningful career, you found the right place, and we would love to hear from you. To learn more about how we process your personal information and your rights in regards to your personal information as an applicant and Sardine employee, please visit our _.

Ilir Sela started Slice with the belief that local pizzerias deserve all of the advantages of major franchises without compromising their independence. Starting with his family’s pizzerias, we now empower over tens of thousands of restaurants with the technology, services, and collective power that owners need to better serve their digitally minded customers and build lasting businesses. We’re growing and adding more talent to help fulfil this valuable mission. That’s where you come in. This position is open to applicants across all of the UK on a remote basis, with the physical office located in Belfast, Northern Ireland. The Role By applying your Mobile experience, and software development skills, you will build high quality and intuitive experiences for customer-facing and business-facing apps. You will collaborate with other developers to build scalable solutions that make it easy to build high quality products, and you will work alongside designers and other stakeholders to build exciting new features and refine existing experiences. You will integrate with our custom built in-shop embedded projects. Knowledge of more than one mobile stack as well as an interest in embedded systems is a bonus. For this role, we are focusing on hiring at the Staff level, which requires broad professional mobile development experience and a strong track record of leading complex initiatives and delivering broad impact. We recognise that job titles and responsibilities vary across companies; throughout our interview process we assess each candidate’s experience, technical depth and overall impact to ensure alignment with the appropriate level at Slice. The Team You will be part of our Devices development team that is responsible for all of our customer-facing and business-facing mobile and embedded products. Think pizza ordering apps, Point-of-sale and Kiosk’s to name a few. We believe that consolidating our skills on platform-specific teams leads to a better development environment where you can collaborate, learn from and grow alongside other device experts. Our team brings together talented developers from across the US, UK, and Eastern Europe, each contributing unique perspectives and expertise to drive success. The Winning Recipe We’re looking for creative, entrepreneurial developers who are excited to build world-class products for small businesses and their customers. The core competencies this role calls for: • Proven experience developing iOS apps with Swift, SwiftUI, Combine and Core Data., • Hands-on experience designing, developing and maintaining Android applications with Kotlin & Jetpack Compose is required., • Technical leadership and strategic impact: able to guide complex projects end-to-end, influence architecture decisions and lead peers., • Experience with Python, particularly in developing web services, is a plus., • Embedded systems experience is highly desirable., • Able to clearly express opinions on product design, while respecting the thoughts and opinions of their peers., • Adaptable, proactive and results-oriented, capable of delivering solutions efficiently and meeting tight deadlines., • Proven ability to communicate and collaborate effectively with engineers across all platforms and non-engineering stakeholders alike., • Comfortable working remotely and collaborating asynchronously with teammates in different timezones and from different backgrounds. The Extras Working at Slice comes with a comprehensive set of benefits, but here are some of the unexpected highlights: • Access to healthcare plans, • Flexible working hours, • Generous time off policies, • Employee wellbeing allowance, • Market leading maternity and paternity schemes The Hiring Process Here’s what you can expect from our hiring process if your candidacy progresses smoothly. We move quickly and strive for a fast turnaround from the final interview to the offer. • Application, • 30-minute introductory meeting, • 90 minute Live Coding Interview & 60 minute Technical Interview, • 30-minute Hiring Manager meeting, • Offer! Pizza brings people together. Slice is no different. We’re an Equal Opportunity Employer and embrace a diversity of backgrounds, cultures, and perspectives. We do not discriminate on the basis of race, colour, gender, sexual orientation, gender identity or expression, religion, disability, national origin, protected veteran status, age, or any other status protected by applicable national, federal, state, or local law. We are also proud members of the Diversity Mark NI initiative as a Bronze Member. Privacy Notice Statement of Acknowledgment When you apply for a job on this site, the personal data contained in your application will be collected by Slice. Slice is keeping your data safe and secure. Once we have received your personal data, we put in place reasonable and appropriate measures and controls to prevent any accidental or unlawful destruction, loss, alteration, or unauthorised access. If selected, we will process your personal data for hiring /employment processes, as well as our legal obligations. If you are not selected for the job position and you have given consent on the question below (by selecting "Give consent") we will store and process your personal data and submitted documents (CV) to consider eligibility for employment up to 365 days (one year). You have the right to withdraw your previously given consent for storing your personal data and CV in the Slice database considering eligibility for employment for a year. You have the right to withdraw your consent at any time. For additional information and / or exercise of your rights to the protection of personal data, you can contact our Data Protection Officer, e-mail: privacy@slice.com

Staff Frontend Engineer Location: Remote (UK-based) Salary: Up to £115,000 We're working with our client, a fast-growing SaaS company founded by serial entrepreneurs, to recruit a Staff Frontend Engineer. Their platform is transforming how leading professional services firms interact with complex data-think Figma for financial, legal, and consulting workflows. Role Overview: This is a high-impact, hands-on role where you'll lead the development of scalable, performant features across the stack. You'll work directly with the CTO and CEO, contributing to architectural decisions and driving innovation. This position is ideal for someone who wants deep technical ownership without people management responsibilities. Key Responsibilities: • Build and maintain features using TypeScript, and Vue.js (or React/Angular/Next.js), • Own architecture and design of key systems and applications, • Develop scalable, secure, and maintainable solutions, • Collaborate closely with senior leadership on high-priority projects Requirements: • Essential:, • Expert-level experience in full-stack development (Mainly focused on the frontend), • Strong knowledge of modern JavaScript frameworks, • Full Stack Experience (Using Node.js, Python or C#), • Track record of architecting and delivering complex systems, • Ability to work autonomously in a fast-moving environment, • Background in enterprise SaaS product development, • Desirable:, • Experience with Azure and Docker, • Familiarity with data visualisation or diagramming tools, • Exposure to AI-enhanced or real-time user interfaces

Company Overview IMS is a leader in connected car and telematics services. We provide services and analytics to insurers, governments, and enterprises. We are proud to be the developer of the industry-acclaimed, cloud-based connected car platform. From insurers and governments to dealerships and everyday drivers, we’re proud to produce technology that makes driving - Safer. Smarter. Greener. Job Description The Senior Platform Engineer is a technical leader responsible for designing, operating, and continuously improving the AWS serverless data platform. This role sits at the intersection of infrastructure, software engineering, and developer experience — owning the reliability and scalability of the platform while actively enabling product and data engineering teams to build and ship confidently. Key Responsibilities Platform Tooling & Self Service • Design and maintain self-service tooling, templates, and scaffolding that allow engineers to provision and deploy serverless resources independently., • Own and evolve internal developer platform (IDP) capabilities — including CI/CD pipeline templates, Infrastructure as Code (IaC) modules, and reusable Lambda/Step Functions patterns., • Reduce cognitive overhead for engineers by abstracting platform complexity behind well-documented, opinionated interfaces., • Partner with engineering teams to gather feedback and continuously improve the developer experience. Engineering Standards & Technical Documentation • Produce and maintain high-quality technical documentation, runbooks, and architectural decision records (ADRs) for the platform., • Define and evangelise engineering standards for serverless development, including naming conventions, logging patterns, error handling, and observability., • Lead or contribute to internal tech talks, workshops, and onboarding programmes to upskill engineers on platform capabilities. Collaboration & Stakeholder Engagement • Act as a trusted technical partner to product and data engineering squads, embedding platform expertise into delivery teams as needed., • Define clear SLAs and SLOs for platform services and communicate them to consuming teams., • Triage and resolve platform-related blockers rapidly, prioritising unblocking engineers over reactive maintenance work. Security & Compliance • Ensure platform infrastructure adheres to security best practices including least-privilege IAM, encryption at rest and in transit, and secrets management., • Collaborate with security and compliance stakeholders to maintain audit readiness and address vulnerabilities promptly., • Embed security considerations into platform tooling so that secure defaults are the path of least resistance for engineers. Infrastructure as Code & Delivery • Own and evolve IaC for all platform infrastructure using tools such as Terraform, AWS CDK, or CloudFormation., • Enforce GitOps and CI/CD best practices across platform delivery, ensuring changes are peer-reviewed, tested, and deployed safely., • Champion progressive delivery practices — including feature flags, canary deployments, and rollback mechanisms — across the platform. Continuous Improvement • Drive a culture of continuous improvement through regular platform reviews, blameless post-mortems, and iterative delivery., • Measure and report on engineering metrics to demonstrate and drive improvement., • Contribute to the broader engineering community through internal knowledge sharing, cross-team collaboration, and participation in guild or chapter activities. Key Requirements • WS Serverless & Cloud Architecture Deep, hands-on experience with the core serverless stack — Candidate should be able to design pipelines with cost, latency, and failure modes in mind, not just get things working. Knowledge of AWS IAM, VPC, and security patterns is equally important., • Python (Primary) & Java (Secondary) Strong Python skills are essential — not just scripting, but writing production-quality, testable, maintainable code. Candidate needs to be credible enough to review Python code written by the teams they support. Java familiarity matters for legacy pipeline work and cross-language debugging, but doesn't need to be at the same depth., • Infrastructure as Code Proficiency in Terraform is a must. Candidate should be building reusable, well-structured IaC modules — not one-off configurations — and comfortable working in a GitOps model with peer-reviewed, pipeline-deployed infrastructure., • CI/CD & Developer Platform Thinking Experience building and maintaining CI/CD pipelines The key mindset here is thinking about other engineers as your customers, and building tooling that reduces friction and cognitive load., • Observability & Operational Maturity Comfortable with CloudWatch, and ideally a third-party observability tool. They should understand SLOs and error budgets beyond the theory — and know how to design alerting that's actually actionable rather than noisy., • Communication & Developer Empathy Given the developer enablement focus, this is crucial. Candidate needs to write clear documentation, give useful feedback in code reviews, and explain complex infrastructure decisions to non-platform engineers. Strong written communication matters as much as verbal., • Security Mindset Practical knowledge of least-privilege IAM, secrets management and how to bake secure defaults into platform tooling so teams don't have to think about it. Why should you join us? • Flexible remote working options., • Flexible holiday scheme (unlimited vacation) to really make the most of your time and wellbeing., • 'Work From Anywhere' Policy - work almost anywhere in the world for 30 days per year!, • Employee Assistance Program and an enhanced maternity/paternity package, • We want to see you grow and do great things! We’re committed to your personal and professional development., • Funded training opportunities., • Auto-Enrolment Pension & Private Medical Insurance., • Cycle to Work and Car Maintenance Salary Sacrifice discounts!, • Kudos Hub - a peer-to-peer recognition system, where you can recognise others using points. These points can be collected and redeemed against a huge catalogue of rewards., • We’re an innovative technology leader with plans for growth in the global telematics industry. These are some exciting times! *Please note that while we accommodate a remote working environment, this hire will need to be based in the United Kingdom.

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 Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)., • Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction., • Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility., • Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency., • Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)., • Incorporate big data processing scenarios requiring scalable computational approaches., • Verify solutions using Python with standard data science libraries and statistical methods., • Document problem statements clearly with realistic business contexts 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 Data Science, Statistics, Mathematics, Computer Science, or related quantitative field., • You have at least 5 years of hands-on data science experience with proven business impact., • You have portfolio of completed projects and publications showcasing real-world problem-solving., • You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)., • You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications., • You are proficient in SQL and database operations for data manipulation and analysis., • You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)., • You have good understanding of MLOps practices and model deployment workflows., • You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)., • 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.

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

Pega CDH Consultants Inside IR35 Remote in UK Initial 6 month engagement emagine is a high-end professional services consultancy and solutions firm specialising in providing business and technology services to the financial services sector. We power progress, solve challenges, and deliver real results through tailored high-end consulting services and solutions. We have created a culture of openness and integrity by building genuine and strong relationships and partnerships, enabling us to be uncompromising in our dedication to delivering the optimal service for our clients. Our commitment is not just towards our clients — we aim to foster a positive and equitable working environment with our consultants and colleagues, which stems from our core values: Confident, Dedicated, Responsible, Genuine. We are building a best-in-class Next Best Action (NBA) decisioning capability and are hiring experienced professionals to design, scale, and optimise decisioning frameworks across multiple markets. This is an opportunity to work at the intersection of data, AI, and customer engagement, delivering personalised, real-time experiences in a regulated environment. We are hiring for: Lead Decisioning Expert Own and govern the NBA decisioning framework across markets. Key Skills: Pega LDA (mandatory) Deep Pega CDH expertise (NBA Designer, decision strategies) Decision frameworks (eligibility, arbitration, prioritisation) Omni-channel decisioning (real-time & outbound) Decision governance, explainability, regulatory awareness Strong stakeholder management & Agile delivery Lead NBA Data Scientist Design and optimise ML models driving NBA decisioning. Key Skills: Pega CDH adaptive models Strong MLB / RTIM / arbitration logic knowledge Advanced Python & ML development A/B testing, uplift measurement, model governance Feature engineering & real-time vs batch decisioning Git, Agile, cross-functional collaboration NBA Decisioning Specialist Deliver decisioning use cases and personalisation strategies. Key Skills: Pega PCDC (mandatory) Pega CDH / NBA Designer experience Decision logic configuration (eligibility, prioritisation, suppression) Testing, simulation & performance optimisation Strong business-facing communication Nice to have: Adobe AEP, Financial Services, multi-market experience Data Integration & System Engineers Build scalable data pipelines supporting decisioning systems. Key Skills: GCP (BigQuery) & Hadoop/Cloudera (mandatory) Spark, Scala, Python, SQL Data pipelines (batch & near real-time) Data modelling, governance & CI/CD Pega CDH integration experience QA / Test Specialists Ensure quality and performance across data and decision platforms. Key Skills: Hadoop & GCP (mandatory) Test automation (Pytest, Robot Framework) Python, SQL, Bash CI/CD, Docker, Jenkins ISTQB certified Our People The ideal consultants will share our values and be aligned with our ways of working. As your career progresses, you can expect to work across all areas of the project lifecycle, from strategy to implementation. This will provide you with a broad base of experience from which to build an outstanding career. The ideal consultants will share our values and be aligned with our ways of working and as your career progresses, you can expect to work across all areas of the project lifecycle. We pride ourselves on; Providing our people with a supportive culture, rooted in our values and driven by our purpose. Promoting a culture of inclusion, collaboration, well-being, and learning and development. Providing increased agility and flexibility within our hybrid working model Investing in employees’ growth through ongoing training and development Autonomy to take ownership of projects, making decisions and demonstrating individual expertise Providing an transparent performance and career management experience. Our consultants are integral to delivering successful consulting engagements, addressing our clients’ most pressing business challenges, and build lasting value in disciplines such as: Solve sophisticated, ambiguous business, change and technology problems, bringing structure and meticulous analysis and planning, acting, and taking decisions with little strategic direction Build, develop and sustain trusted senior client relationships in the C-suite by remaining highly attuned to client needs Drive, enable and support the business, partnering with our leaders, clients, and consultants across our practices to take the best of emagine to our clients through opportunity identification/qualification, solution development/presentation Interested? At emagine, we are committed to building an international and diverse team by embracing our different backgrounds. If you are up to the challenge and would like to find out more, get in touch with us immediately, our internal recruitment team is always keen to hear from dynamic individuals that are looking to further their career and explore their full potential. “emagine is an equal opportunity employer, and employment practices are based strictly on merit. It is the policy of the Company to give equal opportunity in employment regardless of sex, sexual orientation, marital status, race, age, disability, gender reassignment, pregnancy and maternity, religion or ethnic origin

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 Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)., • Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction., • Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility., • Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency., • Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)., • Incorporate big data processing scenarios requiring scalable computational approaches., • Verify solutions using Python with standard data science libraries and statistical methods., • Document problem statements clearly with realistic business contexts and provide verified correct answers. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. 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 Data Science, Statistics, Mathematics, Computer Science, or related quantitative field., • You have at least 5 years of hands-on data science experience with proven business impact., • You have portfolio of completed projects and publications showcasing real-world problem-solving., • You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)., • You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications., • You are proficient in SQL and database operations for data manipulation and analysis., • You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)., • You have good understanding of MLOps practices and model deployment workflows., • You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)., • 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? • 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.

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.

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.

Data Scientist 1 day a month in London (expensed) We are working with a networking organisation that specialises in financial services. They are looking to add their first Data Scientist to the team to lead on projects from start to finish. You will build a scoring model to match customers to the client and be able to work closely with stakeholders. You will need: • 3-5 years Data Science experience, • Python & SQL, • Predictive Modelling, Statistical Analysis experience, • Strong communication and stakeholder skills, • Have worked in a small organisation

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. 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 applications from the UK. The Opportunity: The Grafana Alerting squad operates at the core of the Grafana open-source project _, and our mission is to provide the most in-depth way to let users manage their alerts. The backend-focused team works closely with customers and the Grafana Cloud teams to make Alerting work on-prem and at infinite scale in Cloud. Our domain is quite large, so to get an idea of the kind of work we do, here are some projects we recently worked on: • Build distributed systems to scale alert ingestion and delivery of Prometheus-based alerts, • Unify Alerting setup and delivery to work the same for Grafana and Prometheus-based alerts, • Build distributed systems to scale alert evaluation of Grafana-managed alerts, reaching over 500 evaluations per second in production. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. 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 ideation 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 on-call rotations and take ownership of the services you’re running, • Mentor and 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 As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What Makes You a Great Fit: • You are a motivated self starter with a bias towards action, • You are customer focused, • We build everything with our users in mind., • You have a passion for creating intuitive products that fit customers’ needs, • 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 team. 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, Java, 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, • Experience writing clean, robust, and performant software that is easily maintained by others Compensation & Rewards: In the UK, the compensation range for this role is GBP 103,958 - GBP 124,750. 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: Grafana Labs is an equal opportunities employer. We welcome applications from everyone regardless of race, colour, nationality, origin, caste, sex, gender reassignment identity or expression, sexual orientation, age, religion or belief, disability, veteran status, genetic information, pregnancy, maternity, marital, family or carer status, or any other characteristic which is protected by local law. We believe that equality and diversity build a strong organisation, and we work hard to ensure that is the foundation of our organisation 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 .

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. Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless — all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality. We’re hiring Attio’s first dedicated Data Engineering Lead to build the infrastructure, pipelines and standards that enable the company to operate on reliable, trusted data at scale. As our inaugural Lead Data Engineer, you’ll own and evolve our internal data platform end-to-end — improving reliability, enabling better decision-making, and shaping the long-term foundations of data across the business. Your work will directly support teams across Product, Engineering, Marketing, Finance and Go-To-Market. We see this as far more than a traditional Data Engineering role. It’s an opportunity to define and shape Attio’s future data capability from the ground up — operating as a highly hands-on senior IC initially, whilst helping establish the foundations, standards and strategic roadmap for how the broader data function evolves over time. The role is ideally suited to someone who enjoys bringing structure to ambiguity, solving complex infrastructure challenges, and working closely with the business in a fast-moving, product-led environment. We’re looking for someone who is equally comfortable being hands-on and building, whilst also thinking strategically about how scalable data systems, processes and teams should evolve over time. Build and stabilise core data infrastructure: Design, build and maintain reliable, scalable pipelines and systems that ensure data flows correctly across the business and support critical operational and reporting workflows. Improve data reliability and observability: Own and improve the quality, resilience and maintainability of Attio’s broader data infrastructure — helping reduce operational risk and improve trust in the data underpinning the business. Shape Attio’s future data architecture: Partner closely with Product, Engineering and business stakeholders to define how our data platform should evolve over time, balancing immediate business needs with long-term scalability. Enable better business decision-making: Help create the foundational datasets, transformations and infrastructure required to support experimentation, analytics and operational reporting across the company. Operate as a senior technical leader: Bring clarity and direction within ambiguity — taking loosely defined problems, creating clear plans of execution, and driving outcomes with a high degree of ownership and autonomy. Help build the future data function: Contribute toward defining best practices, technical standards and longer-term hiring plans as Attio’s data capability matures and scales over time. Strong Data Engineering foundations: Deep hands-on experience designing and maintaining modern data infrastructure, pipelines and transformation layers within cloud-native environments. Technical depth across modern data tooling: Strong hands-on Data Engineering capability across modern tooling such as BigQuery, DBT, SQL and Python (or equivalent ecosystems e.g. Snowflake). Startup or scale-up experience: You’ve operated within fast-moving product or engineering-led environments and understand how to balance speed, ambiguity and long-term technical quality. Translation across abstraction levels: Able to move fluently between ambiguous business problems and precise technical implementation by translating effectively in both directions. Quantitative reasoning: Able to translate ambiguous business concepts (e.g. “activated workspace” or “qualified lead”) into clear, measurable and defensible definitions, with strong judgement around whether resulting outputs represent meaningful signal or simply noise. High ownership and autonomy: Comfortable operating as a senior IC with minimal direction. You have experience being responsible for problems end-to-end and driving them through to resolution. Pragmatic technical leadership: You’re able to bring structure and prioritisation to unclear problem spaces, communicate effectively with both technical and non-technical stakeholders, and influence decisions across the business. Commercial and operational awareness: You understand that data infrastructure is not just an engineering problem: it directly impacts product velocity, reporting accuracy, experimentation capability and commercial performance. Bias for action: You move with urgency, enjoy solving difficult problems, and are equally comfortable operating strategically as you are rolling up your sleeves and building directly. UK benefits Competitive salary of £115,000 - £145,000 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) Initial Conversations 30-minute introductory call with a member of our Talent team 45-minute conversation with our CTO & Co-Founder Core Interviews System Architecture & Technical Foundations session with our Staff Product Engineer Data Analysis & Commercial Reasoning session with our Product Lead - Growth Final Stage 30-minute closing conversation with our CEO Optional team meet-and-greet (on request) Offer call (if it’s a mutual fit)

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.

Title: Data Engineer Experience: 10years Location – Edinburgh Work Type – Hybrid (Office 3 days in a week) Detailed JD: Skills: Candidate should have Experience of ETL technical design, including data quality testing, cleansing, and monitoring, and data warehousing and data modelling capabilities Experience of cloud technologies including AWS, Snowflake, SQL, and Apache Airflow, SQL and programming languages such as PL/SQL and Python, Spark, and Pyspark Good knowledge of modern code development practices Strong communication skills with the ability to proactively engage with a wide range of stakeholders

We're a San Francisco & Montreal based applied AI startup that's building the future of work in the banking industry. We are tackling a $100 billion/yr problem, doubling every quarter and pushing the boundaries of what’s possible with multi-turn AI agentic systems Our goal is to tackle the type of automation problems that require long-context reasoning, tool orchestration across legacy systems, and strict compliance loops: the ones without known answers. We’ve shipped real agents that handle real customer workflows in production. With a growing customer base and live deployments, we’re scaling up fast and looking for deeply technical builders who want to have outsized impact early. Our core engineering team is looking for a builder, a Software Engineer who thrives in early-stage (ambiguous) environments. You’ve seen products through from v1 to scale, and you love designing clean systems that last. Design, develop, test, deploy, maintain, and enhance practical AI-powered software solutions for the fintech industry. Own project timelines by managing priorities and delivering high-quality features. Drive product and business decisions as a core contributor, helping to define and shape both the technical foundation and strategic direction. Participate and foster best practices including code reviews, testing, etc. Demonstrated backend/fullstack engineering experience, ideally in SaaS in high-impact projects Deep experience with Python (Django, Flask, FastAPI), TypeScript (React), Docker, and cloud platforms (AWS/GCP) Strong experience with designing, building and scaling distributed systems Strong background in relational + non-relational databases (PostgreSQL, Redis) API design chops (REST, GraphQL), deployment know-how Have built complex workflow orchestration systems Know your way around cloud infra Have experience building integrations or data pipelines Love mentoring and growing teams 🏦 Join us in building the future of work for the trillion-dollar banking industry using cutting edge AI technology. ⚡Tackle ambiguous technical challenges with no clear answers. 💲Competitive compensation with premium benefits and equity package. 🤝Work with a stellar team of engineers, builders, and leaders; including repeat YC founders with a successful exit (Ready Education). 📈We already have production agents live with revenue-generating customers 🐦 🔥Our team is backed by Tier 1 Silicon Valley VCs

Senior Data Engineer Location: Manchester (Hybrid – 1 day per month on-site) My client is looking for a Senior Data Engineer to join their expanding data team. This is an excellent opportunity for someone who thrives in a collaborative, insight-driven environment and is passionate about leveraging data to deliver tangible business value. This is not a role for someone just moving data from A to B with Python — it’s for someone who understands how to model, optimise, and apply data to support better business decisions. Key Experience Required: • Expertise in SQL Server (approx. 75% of the role) including performance tuning, data warehousing, and reporting., • Experience with AWS data services (approx. 25%), particularly RDS, S3, Lambda, EventBridge, and building data pipelines in cloud-native environments., • Proven delivery of dimensional/Kimball data models in collaboration with Data Analysts., • Strong proficiency with Power BI, including performance optimisation and deployment strategies., • Hands-on experience with Python for automation and data transformation (not just file handling)., • Understanding and experience of Data Governance frameworks and implementation., • Exposure to CI/CD pipelines and source control for reports and analytics., • Bonus: Familiarity with SageMaker or similar ML/predictive analytics platforms. We're looking for someone who: • Thinks like a data user, not just a data builder – with a strong sense of how to deliver real-world business outcomes., • Is confident shaping and optimising data for analytical consumption., • Collaborates well with analysts, product owners, and stakeholders to translate problems into solutions. Why Join? • Be part of a growing, innovation-led organisation committed to building intelligent, insight-driven systems., • Access excellent benefits including hybrid working, on-site gym, CSR days, birthday leave, and more., • Contribute to a high-impact, forward-looking data strategy with genuine business engagement., • Hybrid working policy: This role is classed as hybrid, with the expectation of just one day per month in the Manchester office. Interested? Apply now to be part of a team where your work directly drives smarter decisions and impactful outcomes. Senior Data Engineer

Our client is looking for Junior and Middle level Data Engineer to join the teams. 1 day in office every 3 months. Permanent, salary is £45k- £65k depending on experience Job Details: • Develop, document and maintain robust processes that transform and clean data for input into a variety of live systems and analytical workflows, • Liaise with colleagues across the business to elaborate requirements for new data products and translate these into technical plans, • Maintain process quality and robustness through coding best practice, including version control, documentation and peer review, • Investigate and elaborate data issues to help drive continuous improvement in data quality, • Migrate Legacy processes to new data platforms, • Learn new tools and techniques to support data processing and analytics as we expand our toolkit Skills we would love you to have: • Minimum 2:1 in a relevant technical degree., • A good understanding of database architecture and querying using SQL., • A sound understanding of data transformation and cleaning., • Programming experience using any language such as Python., • Understanding of Microsoft Azure, Power BI and Snowflake only need skills in SQL, Cognos and a data visualization tools like Tableau, Power BI or Qlik, • 2- 4 years experience, good communication to work across functional team

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 senior full stack engineer who 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 solving complex problems and ownership, and who enjoys working with technologies like Python, Typescript, GraphQL, AWS, and Frameworks like FastAPI and React. \n What You'll Do • Build scalable web applications utilizing open-source tools and technologies, • Build and use REST and GraphQL APIs, • Be able to work independently while communicating progress to other members of the team, • Participate in the technical planning, user story/technical acceptance creation, and implementation, • Identify and solve complex problems, • Plan technical architectures that minimize or eliminate performance problems, complexity, or solution fragility Requirements • 7+ years of professional experience building scalable and reliable web applications is required, • 5+ years of experience with Python and Python web frameworks (Django, Flask, FastAPI, etc...), • 5+ years of experience with front-end technologies, such as JavaScript, Typescript, and React, • Able to create database schemas that represent and support business processes, • Unit test and debugging skills, • 3+ years of work experience with RDBS such as MySQL or PostgreSQL, • Independent, self-managed and motivated, • Good command of the English language Nice to Have • Experience with any of the following would be a plus: GraphQL, React, FastAPI, AWS (or any other Cloud provider), • 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 _.

Go Software Engineer - Manchester On behalf of our growing client, we are looking for a Go Software Engineer in Manchester. The Golang Software Engineer will build back-end applications that connect to various services and components, write code to monitor those connections, and manage the deployment process of the built artifacts. The Successful Golang Software Engineer will have experience of: • Programming languages: Golang, C#, Typescript, Python, • Scripting: bash, • Data storage: MySql, Reddis, • Communication: Grpc, RabbitMQ, • DevOps: Docker, Kubernetes, AWS Benefits for the Successful Go Engineer: This is a great opportunity for a Go Software Engineer to join a company that strongly believe in the development of its employees and you will be rewarded with the following benefits: • Flexible working hours, • Annual staff parties, • Hybrid working, • Great career development opportunities How to Apply if You Are Interested in this Position If this sounds like your perfect role, don’t miss out - just click to apply! Not quite what you’re looking for? Please check out the latest IT, Digital, and Marketing vacancies on our website jobs.adriasolutions.co.uk. Go Software Engineer - Manchester

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

Anyone AI is recruiting skilled Python Developers to work on a project with a leading AI lab. Qualifications: Advanced professional written proficiency in English 3–7 years of professional software engineering experience Strong proficiency in Python and JavaScript/TypeScript; working knowledge of Java, C#, or Go Backend or full‑stack development experience in production systems Experience with testing frameworks (e.g., pytest, Jest, JUnit, xUnit, Go testing) Proven ability to debug and navigate large, multi‑file codebases Experience with code reviews, refactoring, and production migrations Engagement: Part-time, project-based expert evaluation work Work Type: Remote Contributors will design and evaluate realistic software engineering tasks, including bug resolution, feature implementation, refactoring/migration, and test generation. Work includes both creating complex coding scenarios and reviewing peer submissions for quality and accuracy. This is a project-based consultant role. Consultants will be paid on a per-project basis; hourly rates are estimates based on anticipated completion time. Consultants control their own schedule, provide their own tools, and may simultaneously provide services to other vendors/employers (subject to those vendors’ allowances). Responsibilities: Contributors will: Design and implement multi-file coding tasks across bug fixing, feature development, refactoring, and testing Write clear natural-language specifications and reference implementations Develop and extend unit and integration test suites Review peer-generated tasks for correctness, clarity, and realism Identify edge cases, ambiguities, and potential failure modes Ensure alignment between specifications, code, and expected outputs Expected Outcomes: High-quality, production-realistic coding tasks Complete and correct reference implementations Robust test coverage and validation artifacts Structured, actionable peer review feedback

Fluent Software Group is part of Valsoft Corporation's family of vertical market software businesses, focused on building specialized, reliable software solutions for targeted industries. We balance product innovation with operational dependability. We operate a portfolio of vertical market software businesses across Europe and North America. We are building an Enterprise Voice AI Agent to power service delivery for one of our Netherlands-based portfolio companies and their clients at scale. We are looking for a Dutch-speaking AI Developer based in Canada to own the ongoing development and scaling of the Enterprise Voice AI Agent — built to serve one of our Netherlands-based portfolio companies and their clients. In this role, you will build and evolve a production voice AI system that processes real customer interactions at enterprise volume. You will work directly with stakeholders at our portfolio company — in Dutch — to gather requirements, refine agent behaviour, and ensure the platform meets the operational needs of their business and their clients. Dutch language proficiency is a hard requirement. You will be the primary technical point of contact for our Dutch-speaking portfolio company, conducting discussions, writing documentation, and communicating updates in Dutch as part of your daily work. Voice Agent Development & Ownership • Own end-to-end development of the Enterprise Voice AI Agent: architecture, features, integrations, and ongoing maintenance, • Build and tune AI voice agent pipelines — including speech recognition, natural language understanding, dialogue management, and text-to-speech, • Develop and maintain the frontend (React/Next.js) and backend (Node.js/Python) components of the platform, • Integrate the voice agent with the portfolio company's existing systems (CRMs, telephony platforms, APIs) and their clients' infrastructure, • Maintain a prioritized backlog and drive features and improvements to production independently Client Collaboration (in Dutch) • Serve as the main technical liaison with the portfolio company — conducting requirements sessions, reviews, and status updates in Dutch, • Translate the portfolio company's business needs into technical specifications and working software, • Write client-facing documentation, release notes, and user guides in Dutch, • Manage expectations proactively and communicate timelines, risks, and decisions clearly Agentic AI & Continuous Improvement • Design and integrate AI agents to automate testing, debugging, performance monitoring, and feature prototyping, • Supervise agentic AI outputs to ensure they align with product goals, code standards, and security requirements, • Continuously improve platform reliability, call handling quality, and voice agent performance, • Apply AI tools to documentation, observability, and operational workflows Success Looks Like • The Enterprise Voice AI Agent handles call volume reliably for our portfolio company, with high containment rates and strong client satisfaction, • Portfolio company stakeholders communicate smoothly with the development team, in Dutch, with minimal friction or delays, • New features and client requirements move from brief to production rapidly and predictably, • The platform scales cleanly to support additional clients across the portfolio, • Agentic AI workflows are a standard part of the development and QA process Required • Professional Dutch language proficiency — written and spoken (this is a non-negotiable requirement), • 1–3 years of professional software development experience, or equivalent strong project-based work, • Strong proficiency in TypeScript and modern JavaScript, • Experience building production applications with React and Next.js (routing, SSR/SSG, API routes, data fetching), • Backend experience with Node.js and/or Python (REST APIs, authentication, third-party integrations), • Working knowledge of databases (PostgreSQL, MySQL, or MongoDB), including schema design and querying, • Familiarity with testing practices and frameworks (Jest, Playwright, or Cypress), • Comfortable with Git, pull requests, code reviews, and collaborative development workflows, • Solid understanding of web fundamentals: HTTP, authentication, caching, security, and performance, • Interest in and basic experience with AI-assisted or agentic development workflows Preferred • Experience working with voice AI platforms, telephony APIs, or conversational AI systems (e.g., Twilio, Vocode, Deepgram, ElevenLabs, Rasa), • Experience with LLM integration and prompt engineering in production systems, • Experience designing, building, or supervising agentic AI tools in a software development context, • Experience deploying and operating apps on cloud platforms (Vercel, AWS, GCP, Azure, or Docker), • Experience with CI/CD pipelines, logging, monitoring, and automated testing, • Familiarity with the Dutch business and enterprise software landscape We are a small, product-focused team that ships frequently and iterates fast. Our environment is lightweight, collaborative, and supportive, with direct communication and minimal process. You will have real ownership of outcomes and a direct line to stakeholders. This role is ideal for a developer who is energized by building something new, working closely with an enterprise client, and exploring the frontier of voice AI — while maintaining the quality and reliability that production systems demand.

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 .

Grafana Labs, the company behind the open observability cloud, is founded on the principles of open source, open standards, open ecosystems, and open culture. Grafana Cloud, our fully managed observability platform, is flexible and built for scale. With Grafana Cloud's actually useful AI, organizations can see, understand, and act on all their disparate data to move at the speed of their ambitions. Today, more than 35 million users and 7,000+ customers – including Anthropic, Bloomberg, NVIDIA, Microsoft, and Salesforce – trust Grafana Labs to ensure reliability of their applications and systems, resolve incidents quickly, and optimize their telemetry to reduce noise and cost. We are a 100% remote company with 1,600+ team members across 40+ countries, and we’re backed by leading investors including Lightspeed Venture Partners, Sequoia Capital, GIC, Coatue, J.P. Morgan, CapitalG, and Lead Edge Capital. Learn more at and follow us on and _. 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 applications from the UK. The Opportunity: The Grafana Alerting squad operates at the core of the Grafana open-source project _, and our mission is to provide the most in-depth way to let users manage their alerts. The backend-focused team works closely with customers and the Grafana Cloud teams to make Alerting work on-prem and at infinite scale in Cloud. Our domain is quite large, so to get an idea of the kind of work we do, here are some projects we recently worked on: • Build distributed systems to scale alert ingestion and delivery of Prometheus-based alerts, • Unify Alerting setup and delivery to work the same for Grafana and Prometheus-based alerts, • Build distributed systems to scale alert evaluation of Grafana-managed alerts, reaching over 500 evaluations per second in production. Grafana Alerting is trusted by major organizations worldwide, monitoring essential medical devices and critical infrastructure. We thrive on collective creativity and diverse perspectives, every team member is encouraged to contribute ideas that shape our product into a dependable tool. 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 ideation 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 on-call rotations and take ownership of the services you’re running, • Mentor and 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 As we are remote-first and our engineering organization is largely remote, we provide guidance and meet regularly using video calls, so an independent attitude and good communication skills are a must. What Makes You a Great Fit: • You are a motivated self starter with a bias towards action, • You are customer focused, • We build everything with our users in mind., • You have a passion for creating intuitive products that fit customers’ needs, • 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 team. 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, Java, 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, • Experience writing clean, robust, and performant software that is easily maintained by others Compensation & Rewards: In the UK, 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 .

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.

At The Multiplayer Group (MPG), we create world-class multiplayer experiences through Co-Dev and Full-Dev partnerships. Our people-first culture supports a diverse, global team in a welcoming and flexible work environment. With teams spread worldwide, we prioritise connection—both online and in person. Giving back is central to who we are, with a focus on local communities, education, and sustainability. We are looking for a highly experienced, fully remote Principal Backend Engineer. You’ll be UK or EU based and you’ll be working in a team of backend engineers across MPG to drive the delivery and deployment of backend services for industry-leading game projects. You will act as a key engineering contact for external co-dev clients, collaborating with the Technical Director and Lead to architect solutions that balance technical idealism with production pragmatism. You will define the technical architecture for major game titles, ensure implementation quality, and mentor the engineering team. • Experience in game development and having shipped multiple live games (or similar products) with a high concurrent user count, • Proven experience architecting distributed applications with a high concurrent user base (hundreds of thousands), ideally proven with a released title or robust load tests, • Production experience with at least one of Java, Golang, C#, C++, Kotlin; experience with Python, Node.js and React is desirable, • Solid database experience, with the ability to work effectively with both SQL and NoSQL databases, • Proven experience with cloud platforms: Amazon Web Services, Google Cloud and Microsoft Azure; having an AWS Certification (Professional level) would be advantageous, • Proven experience building backend infrastructure using infrastructure as code tools, e.g. Terraform, • Proven experience using Kubernetes and Docker to build products at scale, • Ability to autonomously architect and design online services based on a specification, • Ability to navigate changes calmly and manage multiple pieces of potentially confidential information, • Excellent time management and ability to work autonomously, • Clear and effective communicator with the ability to discuss technical strategy with non-technical stakeholders and adapt to client needs, • Experience building CI/CD pipelines from scratch or improving existing client solutions, • Awareness of security/cheating implications of technology choices, • Experience using Gen AI for code generation Beneficial • Deep expertise in at least one relevant area of backend technology, e.g. DevOps, Microservices, Cloud Architecture, • Understanding of how a backend service integrates with the game - experience with Unreal or Unity would be useful but not required, • An understanding of how to use LLMs to process and query structured and unstructured data Responsibilities • Individual contribution: architect systems, write code, deployments, etc., • Act as the engineering contact point between MPG and the client, working alongside the Project Manager and Engineering Leadership, • Translate client requirements into tasks for yourself and team members, • Make the right trade-offs to design systems based on performance, time, and budget, • Mentor and delegate pieces of work to other team members to help develop them as engineers, • Create estimated cost spreadsheets for online services based on projected concurrent users, • Cultivate engineering best practices across teams: modular design, code quality, testing, • Work with the Lead and Production to communicate risks, benefits, and future roadmaps, • Active mentorship of the engineering team towards professional accreditation (e.g., AWS Certification) and technical leadership. Our Benefits Flexible working: Remote-friendly long before it was the norm, with core hours that support both great work and real life. Support & wellbeing: Mental health first-aiders, therapy and coaching via Myndup, plus private medical insurance to help you stay healthy and supported. Pension & life cover: A strong pension plan and life insurance to support your future and protect your family. Time for you: Minimum 25 days’ holiday, a paid winter break, and 3 volunteering days each year to give back to causes you care about. Parental leave: Family-first policies that support parents and caregivers with flexibility and balance. Levelling up: Annual L&D budget, expert talks, game jams, and mentoring opportunities to help you grow your skills and career. Role Information: EN Studio: The Multiplayer Group Location: Europe, United Kingdom Area of Work: Game Development Service: Create Service Type: Code Employment Type: Permanent Fully Remote Working Pattern: Full Time Keywords Studios is dedicated to following a well-established Equal Opportunities Policy. We endeavor to create a workplace which provides for equal opportunities for all employees and potential employees. PERSONAL DATA PROTECTION POLICY Keywords Studios is strongly committed to protecting your personal information. By sending your CV/Resume, you are agreeing to our terms and conditions and consent to your data being managed and retained in accordance with our data privacy and retention policy _.