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

We are seeking a Machine Learning Engineer to join the User Fraud R&D Studio at Spotify. Our mission is to protect Spotify from fake accounts and artificial streaming. You’ll work in a fast-moving team that experiments, iterates, and deploys innovative fraud prevention solutions. This includes analysing diverse user behaviours, uncovering patterns of abuse, and developing robust, scalable ML models that power real-time and batch decisions. If you're excited by adversarial modelling, anomaly detection, and building systems that defend one of the world's leading streaming platforms, we'd love to hear from you. • Contribute to designing, building, evaluating, shipping, and refining Spotify’s anti-fraud product by hands-on ML development, • Collaborate with a multi-functional team spanning data science, product management, and engineering to combat fraud, • Prototype new approaches and productionise solutions, • Help drive optimisation, testing, and tooling to improve quality, • Be part of an active group of machine learning practitioners in your mission and across Spotify, • Conduct analyses to gain insights on fraudulent behaviours and trends, • Be responsible for monitoring the quality and performance of the squad's ML models, • You have a strong background in machine learning, theory, and practice, • You are comfortable explaining the intuition and assumptions behind ML concepts, • You have hands-on experience implementing and maintaining production ML systems in Python, Scala, or similar languagesExperience with TensorFlow or Pytorch, • You are experienced with building data pipelines, and you are self-sufficient in getting the data you need to build and evaluate your modelsYou preferably have experience with cloud platforms like GCP or AWS, • You care about agile software processes, data development, reliability, and focused experimentation, • You focus on delivering the simplest solution that drives business impact, • This role is based in Stockholm, Sweden or London, United Kingdom, • 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.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we’re here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

3 billion people across the world work in frontline jobs. Yet, despite rising costs and staff shortages, frontline organisations are still left to choose between paper, Excel, and WhatsApp, or decade-old workforce management solutions to take care of the most important part of their businesses - their people. Enter Sona: the next generation of AI-native, frontline workforce management. We've built an end-to-end platform covering Scheduling, HR, Payroll, and Communications that gives the largest frontline organisations everything they need to staff more intelligently and empower their teams. In under 5 years, we've already made a deep impact on the lives of over 100k frontline workers and the operation of their organisations, grown the team to 140+, and secured over $100M in funding from notable VC's, including our Series B led by N47 alongside Felicis, Northzone, and Gradient Ventures (Google). It's a hugely exciting time to be joining the team as we're still small enough that you'll have a significant impact on the company's growth trajectory and culture, yet large enough to have a great structure, experienced leaders and world-class benefits in place. More on working at Sona here. About the Role You'll join a two-person ML team that has built a production forecasting system running daily half-hourly predictions across multiple restaurant chains. Our forecasting models enter into a complex environment with key machine and human decisions being made on their predictions, facing feedback loops and a highly variable environment. The system works - the challenge now is scaling it from a handful of clients to 100s. You'll own client launches end-to-end: validating data, selecting models, running UAT, going live, and monitoring performance afterwards. You'll join client calls, build relationships, and understand what actually matters on the ground - not just whether the model is accurate, but whether the kitchen prepped the right amount of food. You'll love this role if: You enjoy taking ownership of the product and outcome end-to-end. Machine learning at Sona is a success if we have happy clients running successful businesses as well as the models which are best in industry You have a focus on solving the problem and when given the choice between "complicated and shiny" vs "get something simple in front of a user", you choose the latter You're excited by working with our industry experts to really understand what's happening in our client's businesses and the realities of working there You see beyond the data to the world that resulted in this data generating process, the issues that come with it and the opportunity that it gives us You're experienced in and excited by taking a machine learning project from business idea to deployed production system You default to AI tools for development. You use Claude Code, Cursor, or equivalent daily - not as a novelty, but as your standard working mode Our role won't be for you if: You're hoping to do research and publish research papers as a key element of the work that you do You're looking to move into a less technical, more managerial role You're keen to get your hands on fancy new technology X and apply it to something You prefer to work on one thing and make it perfect before moving on - the role requires pragmatism, parallelism, and iterative improvement Requirements You'll need these skills/experience to be successful: Production ML experience, with a track record of deploying ML systems that handle messy data, fail gracefully, and need monitoring Strong ML fundamentals - you can reason about trade-offs in practice, explain why certain features matter more than model selection, and make good judgement calls when something unexpected happens Client-facing deployment experience - you've personally owned an ML deployment end-to-end and are comfortable on calls with non-technical stakeholders Strong programming skills in Python, including the ML/scientific Python stack (e.g. numpy, scikit-learn) Daily use of AI development tools (Claude Code, Cursor, Copilot or equivalent) as your default working mode It would be great if you have experience in some of these areas too: Forecasting, time-series, or demand-planning - someone who understands lag features, calendar effects, and evaluation integrity intuitively will ramp significantly faster Our stack: Python, scikit-learn, MLflow, Docker, GCP A small team where ownership is wide and context-switching is normal Benefits Salary: £95,000-£110,000 Fully remote (European timezones) Share options 35 days annual leave (25 days standard plus 10 flexible public holiday days) Extra day of leave for every year of service Pension contributions matched up to 5% Comprehensive health insurance Enhanced parental leave & pay Co-working space stipend for those based outside London Bi-annual all expenses paid team retreats The latest Macbook and equipment budget for your home office Professional development budget Unlimited free books Note: this represents a typical benefits package for a UK-based, full-time employee. Exact details may vary based on location and employment type but we try to be as fair as possible to all of our team members. Please ask your contact in the Talent team to clarify the available benefits for you.

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.

Are you a Frontend Software Developer 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 enthusiastic fFrontend Software Developer professionals who have 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! 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. Responsibilities 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 FrontEnd Software skillset (e.g.: hazard exposure platforms, conflict incident visualisation, custom data visualisation tools, etc…), • Work with external partners such as UN agencies, International NGOs and Academic Institutions, • Working with Data Science and Data Engineering volunteers to enhance software used in data processing, • 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: • Three or more years of professional experience working in a software development team, as a developer, tester or other similar role, • For web development: experience in HTML, CSS, JavaScript, React and ideally at least one server side language (PHP, Python etc)., • Experience and proficiency working with Python, • Experience of or demonstrated willingness to learn testing regimes including unit and regression testing and continuous integration., • 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 of developing with ESRI’s GIS product suite and/or other geospatial technology., • Experience with Systems Engineering, • An interest in data-engineering or data-science e.g. ML / DL / AI / Statistics, • Humanitarian knowledge/experience. 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.

Affirm is reinventing credit to make it more honest and friendly, giving consumers the flexibility to buy now and pay later without any hidden fees or compounding interest. The Fraud Strategy & Analytics team works cross-functionally with Machine Learning, Product, Engineering, and Operations to combat fraudulent activities and to foster a safe platform. We're looking for a new team member to help lead our team’s fraud monitoring and detection efforts and own fraud escalations as we scale internationally. Additionally, this role will work closely with our cross functional partners to help develop our fraud detection and decisioning systems. • Develop strategies for monitoring and preventing fraud across our network, advising on best practices and ensuring the strategies align with risk management goals., • Leverage advanced data analytics to identify loss drivers, derive insights and optimize fraud management strategies, • Report on fraud trends and loss drivers to cross functional partners and senior management, • Quickly respond to fraud rings and ensure issues raised by other teams are addressed in a timely manner, • Work together with our operations team to help limit losses and ensure optimal review volumes, • Assist with evaluation and development of new external or internal features/signals to improve our fraud detection capabilities, • Assist with team planning and goal setting as well as coaching and mentorship of more junior team members, • 7+ years of experience in Fraud Management or a related field preferred with a prior emphasis on analytics., • Product knowledge - Passion to understand how the product works and how to change it to make it more effective, • Able to thrive in a fast-paced environment and be responsive and available during times of peak fraud activity, • Ability to work later starts several days a week so as to allow for increased overlap with US based colleagues., • Technical skills - Extensive experience writing and analyzing SQL queries; comfort using python or other scripting languages for data analysis, • Communication - Ability to build strong cross functional partnerships and work with a diverse range of teams across the organization. Ability to communicate analyses and recommendations clearly to both technical and non-technical audiences, • Multi-tasking - Strong time management skills and the ability to shift focus on a moment's notice to respond to changes in fraud pressure and tactics, • Industry knowledge - Working knowledge of the fundamentals of payment processing and an understanding of industry risk trends, including familiarity with risk strategy development., • Bachelor’s degree, or local equivalent, in a quantitatively rigorous field like engineering, statistics, math, finance, economics desired Pay Grade - O Equity Grade - 6 Employees new to Affirm typically come in at the start of the pay range. Affirm focuses on providing a simple and transparent pay structure which is based on a variety of factors, including location, experience and job-related skills. Base pay is part of a total compensation package that may include monthly stipends for health, wellness and tech spending, and benefits (including 100% subsidized medical coverage, dental and vision for you and your dependents). In addition, the employees may be eligible for equity rewards offered by Affirm Holdings, Inc. (parent company). GBR base pay range per year: £133,000 - £173,000 Location - Remote UK #LI-Remote Affirm is proud to be a remote-first company! The majority of our roles are remote and you can work almost anywhere within the country of employment. Affirmers in proximal roles have the flexibility to work remotely, but will occasionally be required to work out of their assigned Affirm office. A limited number of roles remain office-based due to the nature of their job responsibilities. We’re extremely proud to offer competitive benefits that are anchored to our core value of people come first. Some key highlights of our benefits package include: • Health care coverage - Affirm covers all premiums for all levels of coverage for you and your dependents, • Flexible Spending Wallets - generous stipends for spending on Technology, Food, various Lifestyle needs, and family forming expenses, • Time off - competitive vacation and holiday schedules allowing you to take time off to rest and recharge, • ESPP - An employee stock purchase plan enabling you to buy shares of Affirm at a discount We believe It’s On Us to provide an inclusive interview experience for all, including people with disabilities. We are happy to provide reasonable accommodations to candidates in need of individualized support during the hiring process. [For U.S. positions that could be performed in Los Angeles or San Francisco] Pursuant to the San Francisco Fair Chance Ordinance and Los Angeles Fair Chance Initiative for Hiring Ordinance, Affirm will consider for employment qualified applicants with arrest and conviction records. By clicking "Submit Application," you acknowledge that you have read Affirm's _ and hereby freely and unambiguously give informed consent to the collection, processing, use, and storage of your personal information as described therein.

🌏 Located remotely (must live in UTC-5 to UTC+2 time zones to apply) 💸 Salary £110,000 👯 Working in the Engineering team Want to ditch the commute, keep meetings to a minimum, and join a team of talented, experienced, and friendly folks? Do you do your best work when you have the freedom to work flexibly and the autonomy to make your own decisions and try new things? We are a profitable, independent company with a fully remote team working asynchronously across Europe, Canada, and South America. We’re building high-quality products for our users in the last-mile delivery space and working on solving complex, real-world problems for drivers, courier companies, retailers, and anyone who receives a delivery! If you’re an experienced Backend Staff Software Engineer who enjoys working closely with product, design, and engineering - and you like tackling complex backend architecture challenges - we think you’ll be right at home here. Just a few of the things we offer on top of salary: Fully remote Flexible working Equity options Annual company performance bonus 32 days of paid holiday Enhanced PTO for parental leave Annual company events and meet-ups We also make sure you have the tools, space, and support to do your best work: £3,200 every three years for a new laptop £500 a year towards new tech or your home office £1,000 a year for learning and development £1,000 a year for conferences £1,000 a year for wellbeing 💫 If you’d like more info about our benefits or to get a better feel for how we work day to day, you can find more in our and on our . As one of a team of three backend engineers, you’ll work across the systems that underpin our products, and focus on reliability, security, and keeping things running smoothly in production. In practice, that means building and improving backend services, supporting distributed systems, and making sure we have the right observability approach in place, from logging through to alerting, so issues are easier to spot and quicker to resolve. You’ll take the lead across multiple backend components, whether that’s shaping system design, digging into complex production behaviour, or driving longer-term improvements to workflows, deployments, and platform performance. As the stack evolves, you’ll be part of conversations about new backend and cloud technologies and deciding what’s worth adopting. A few things that are worth knowing up front: There are no daily stand-ups or lots of recurring ceremonies. On average, you’ll have one meeting a week, and the rest happens asynchronously. You won’t be handed a spec and asked to implement it without question. You’ll work closely with PMs and designers, ask the right questions early, and help shape the technical approach. It’s not a people management role. We don’t work in a traditional management structure, so leadership here comes through technical ownership, leading projects, and supporting the team as you go. And while we do like moving quickly, we don’t ship to hit an arbitrary deadline. The goal is to build things exceptionally well, stay pragmatic, and avoid creating future problems. Comfortable working with a high level of autonomy, while staying pragmatic, collaborative, and open to feedback Experience building and operating large-scale backend systems Experience designing and working with distributed systems, cloud-native architectures, infrastructure as code, and service reliability Experience with at least one modern backend language such as Go, TypeScript, Java, or Python Able to lead complex engineering initiatives and bring technical clarity to ambiguous problems A solid foundation in API design, data modelling, and scalable storage strategies Experience in diagnosing performance issues and supporting high-availability production systems Familiarity with CI/CD pipelines, automated testing, IaC, and modern deployment tooling Good technical judgement, and the ability to communicate decisions clearly and thoughtfully Programming Language: Node/Typescript Databases: PostgreSQL, Firestore Cloud Provider: Google Cloud Monitoring, Observability & Logging: Prometheus, Grafana, Honeycomb, Google Cloud Back in 2017, we saw an issue with last-mile delivery. Delivery drivers have a complicated and stressful job, and although delivery software existed, it neglected the driver experience. We set out to create the app that puts drivers first. We were astounded by the response we received. Drivers told us their job was far less stressful, and they got home earlier every day. Within our first year, we had almost 1,000 customers, $100k in ARR, and a team consisting of our two co-founders, Jack and Pol. Now, with a lean team of ~50 talented people, we’ve grown to $25M ARR, helping over 100,000 drivers deliver more than 1.4 billion packages worldwide—about 40 every second! Our hiring process for this role has four stages, which usually takes ~three weeks. At every step, you will have the opportunity to ask questions and make sure that we are the right choice for you. 1) Meet our recruiter You’ll have a video call with our TA Director, _, who will tell you more about Spoke and get to know you, too. 2) Meet the hiring manager You’ll have a video call with _, our Engineering Manager and the person this role reports to, to discuss your technical skills and experience in more detail. 3) Paid take-home project At this stage, we will invite you to take part in a paid take-home project that gives you a chance to showcase your skills and a flavor of the types of challenges you’ll be working on here at Spoke. 4) Final call You’ll have a 30-minute final video call with our Founder and CEO, _, an informal chat, and an opportunity to meet. 🌿 If you need us to make any adjustments to our interview process, or if I can make you more comfortable for our first call, please let me know. Sadie Remote£110,000 - £110,000 per yearEngineeringUK Your application has been successfully submitted! _

Data Software Engineer (Python PySpark) Remote UK to £95k Are you a data savvy Software Engineer with strong Python coding skills? You could be progressing your career in a senior, hands-on Data Software Engineer role as part of a friendly and supportive international team at a growing and hugely successful European car insurance tech company as they expand their UK presence; their platform enables an insurance quote to be made to the consumer within 60 seconds, using just 4 clicks. As a Data Software Engineer within the Claims team you will help shape the architecture of data products, building reusable technology that enables teams to ingest, store, transform and serve their own data products. You'll take a lead in data transformation, setting up best practices in areas like Data modelling, performance optimisation and Data Governance to ensure that the data used within the business is consistent, available and reliable. You will be supported with continual learning and self development opportunities and will be encouraged to contribute to testing open source tools and engaging in community building activities such as meet-ups, keeping up to date with new and emerging technologies and methods. Location / WFH: You can work from home on a full time basis from anywhere in the UK or work a hybrid model from the London office depending on your location / preferences. About you: • You are degree educated in a relevant discipline, e.g. Computer Science, Mathematics, • You have a software engineering background with advanced Python and PySpark coding skills, • You have experience in batch, distributed data processing and near real-time streaming data pipelines with technologies such as Kafka, • You have experience of Big Data Analytics platform integration with AWS, • You have a strong understanding of RDBMS, Data Warehousing, Data Modelling, SQL (Redshift, PostgreSQL) and NoSQL databases, • You have a good appreciation of software engineering best practices, DevOps, CI/CD, IaC, • You have excellent communication skills What's in it for you: As a Data Software Engineer (Python Spark AWS) you will earn a competitive package: • Up to £95,000 salary, • Remote working including flexible working hours, • Workplace nursery scheme, • Enhanced maternity package, • 25 days holiday plus ability to buy or sell 5 days p/year + extra "duvet day", • Pension, Private Medical and Dental Insurance, Life Assurance, Employee Assistance Programme, • Weekly Yoga and monthly Acupuncture sessions, Headspace membership, • Diverse, inclusive team environment with a range of support networks, • A range of other perks including Perkbox, cycle to work, season ticket loan Apply now to find out more about this Data Software Engineer (Python Spark AWS) opportunity. Ref: PR/100084/A/KS/100725

Ready to make travel easier for millions? Airalo is the world’s first and largest eSIM store, helping travellers stay connected seamlessly in over 200 countries and regions. We trust our teams to take ownership, put customers first, and do work that has a real impact every day. What’s in it for you? Airalo offers team members a range of perks, including remote work, generous PTO, wellness and learning allowances, and, of course, our annual Airalo Away retreat. Learn more about our benefits here; _ Hi, I'm Andra, Director of Data at Airalo! Our team works across the full data ecosystem, from collection to insights activation, ensuring that every piece of data drives meaningful action. We’re curious problem-solvers who love tackling challenges that haven’t been solved before and building tools and processes that scale impact across the company. Airalo’s fully remote Data team is growing. You’ll turn numbers into decisions that shape the future of our business, collaborating with cross-functional teams to solve complex problems and influence how millions of travellers stay connected. This isn’t just dashboards - it’s using data to drive strategy, inform product and growth decisions, and create real impact. You’ll have access to best-in-class tools, the freedom to experiment, and a team ready to turn insights into action. As the Data Engineering Manager, you will lead the foundational backend of our data organization. YYou will directly manage our current pod of Data Engineers (2 Senior Data Engineers and 1 Customer Data Platform Engineer) and shape the hiring roadmap as the function grows - including scoping future specialized roles such as Machine Learning Engineers. Partnering closely with the Data Director, you will help us transition out of the reactive, ad-hoc phase and into a structured, highly scalable data ecosystem. You will own the architecture, ingestion, and orchestration that powers the rest of the data team - ensuring that our Analytics Engineers, Data Analysts and other users have a rock-solid, high-quality foundation to build upon. This role goes beyond building a data platform. You'll be the connective tissue between Product & Engineering, MarTech, and our partner ecosystem - ensuring data is produced cleanly at the source, captured reliably, and delivered cohesively across the entire organization. Manage, mentor, and grow a high-performing team of Senior Data Engineers and CDP Engineers. Drive hiring for the Data Engineering function as it grows, including scoping future specialized roles such as Machine Learning Engineers Foster a culture of engineering excellence, continuous learning, and cross-pollination of knowledge. Own the technical roadmap for Airalo’s data infrastructure (GCP, BigQuery), orchestration (Dagster, Airflow), and ingestion (Fivetran, custom APIs). Drive data-platform architecture decisions, turning ambiguous business problems into scalable, production-grade technical designs. Bridge the data platform with MarTech and third-party ecosystems (PSPs, MNOs, CDPs, attribution platforms), ensuring customer events, campaign data, and partner integrations flow cohesively in both directions. Partner with Software Engineering to embed data quality at the source - implementing data contracts, co-owning schema decisions, and driving the rollout of a data catalogue across the organization. Establish the foundations for real-time data capabilities as the business matures beyond batch processing Design systems that prioritize data quality, privacy, and governance standards across all data initiatives. Transition the team's workflow from reactive problem-solving to structured, agile delivery. Oversee the maintenance and optimization of high-performance data pipelines, implementing CI/CD automation, observability frameworks, and strict data quality gates. Roll up your sleeves when necessary to assist with complex code reviews, Python/Scala development, or unblocking the team on difficult architectural challenges. Act as a strategic partner to the Analytics Engineering Manager and Data Director to build the backend requirements necessary to achieve our company-wide goal of 80% self-serve analytics. 7+ years of professional experience as a Data/Software Engineer, with at least 2+ years of experience directly managing and scaling data engineering teams. You thrive in low-maturity or greenfield data environments. You're comfortable navigating ambiguity and enjoy the process of laying down paved roads and engineering standards where none existed before. Deep, hands-on background with major cloud platforms (GCP preferred) and cloud-native data warehouses (BigQuery preferred, or Snowflake/Redshift). Strong experience with orchestration tools (Airflow, Dagster), ELT pipelines (Fivetran, dbt), and distributed data processing frameworks (Apache Spark, Flink). Hands-on experience using AI tools to accelerate engineering workflows - code generation, code review, pipeline debugging, or documentation Strong coding experience in Python (and/or Scala) and advanced SQL across relational and non-relational databases. Experience implementing CI/CD, Infrastructure as Code, and observability/monitoring for data pipelines. Bachelor's degree in Computer Science, Engineering, Statistics, Information Systems, or a related quantitative field. Experience implementing data contracts, data catalogues (Atlan, Amundsen, DataHub), or federated governance models. Experience with Customer Data Platforms (Segment, mParticle, or similar), MarTech data integration, and real-time event processing. Experience in marketplace, B2C, or high-volume transactional businesses. Previous work in globally distributed data environments (multi-currency, multi-region, multi-language). Experience building or contributing to experimentation platform infrastructure (A/B testing pipelines, feature flag data, experiment analysis frameworks). Exposure to Machine Learning infrastructure - not necessarily building models, but scoping teams, tooling, and pipelines that support ML workloads. If you are interested in this position, please apply via the link. Please note that to be considered for this role, you must reside in and be fully eligible to work in either Romania, Spain, or the UK. Proof of a valid right to work in one of these three countries will be required. By applying, you acknowledge and agree that, in case of successful application, Airalo may request to run background checks as a condition for entering into an agreement with you. Rest assured that these checks will only occur upon your prior consent and at the end of the selection process, and will be strictly limited to what is allowed under the laws that are applicable to you. All data that you share or that we collect in connection with such checks will be processed in accordance with our Privacy Policy, available here: _ We sincerely thank all applicants in advance for submitting their interest in this opportunity. Airalo is an equal-opportunity employer and values diversity, equity & inclusion. We do not discriminate on the basis of race, religion, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. We are committed to providing reasonable accommodations upon request for individuals with disabilities throughout our job interview process. At Airalo, we use AI-assisted tools as part of our recruitment process. Your application will be reviewed using tools that help our recruiters analyze and organize CV information. These tools support, but do not replace, human judgment; all hiring decisions are made by humans. If you progress to an interview, we may use tools to generate AI-assisted notes - you can opt out of these. For more information on how we handle your data, please see our Privacy Policy: https://www.airalo.com/more-info/privacy-policy.

DevOps Engineer Salary: Up to £85,000 p/a dependent on experience Plus access to annual bonus Hours: Monday to Friday, 8.30am to 5.00pm Job role: This is an exciting time to join the UK’s largest private healthcare telemedicine company based in Hastings, East Sussex, who are expanding their IT Team due to organic growth. Joining a dynamic team focusing on supporting Medica’s transition to a cloud‑native technology landscape. Reporting to the Technical Director, this role is responsible for building and maintaining the automation, infrastructure, and secure deployment architecture that underpin Medica’s clinical and operational applications. The DevOps Engineer will work closely with software engineering, data engineering, and infrastructure teams to design secure, scalable, and highly available cloud environments, ensuring consistent and rapid software delivery. This position is central to improving performance, strengthening security, and accelerating delivery as Medica modernises its technology estate, ultimately helping to enhance the services provided to clinicians and improving patient outcomes. You will design and maintain secure, scalable CI/CD pipelines and implement Infrastructure as Code to ensure consistent, automated cloud environments. Working across Medica’s cloud‑native platforms—from container orchestration and networking to identity and monitoring—you’ll develop observability capabilities and support reliable deployment workflows. You’ll troubleshoot infrastructure and pipeline issues, embed security and compliance controls, and contribute to incident response and continual improvement. The role also involves creating clear operational documentation, championing DevOps and cloud best practices, supporting cost‑optimisation efforts, and collaborating with the Technical Director to shape Medica’s evolving cloud‑native standards and architecture. Who we are: Medica is the UK’s leading telemedicine provider, supporting over 50% of NHS trusts with specialist reporting services across the globe. With over 240 head office staff and continued growth, now is a great time to become part of our journey. We welcome applications from all backgrounds and communities to help us build inclusive teams and a diverse workforce. We offer flexible working arrangements to support work-life balance and encourage everyone to be themselves at work. Requirements: Strong experience in DevOps/Platform Engineering roles building CI/CD pipelines and operating production services (Azure DevOps, GitHub, BitBucket). Extensive hands‑on cloud experience – Microsoft Azure essential (IaaS/PaaS, networking, IAM, storage, key management, monitoring). Proficiency with IaC (Terraform, Ansible, ARM Templates, Bicep) and scripting languages (PowerShell, Bash, Python). Strong experience with containers and orchestration (Docker, Kubernetes/AKS, Serverless platforms, ACA) and image security practices. Observability tooling (e.g., Azure Monitor, Application Insights, Prometheus/Grafana), log aggregation, alert design. Proven track record implementing DevSecOps controls (SAST/DAST, dependency scanning, secrets management). Sound understanding of networking (VNETs/VPCs, routing, DNS, load balancing, private endpoints) and zero‑trust principles. Experience working in regulated environments with change management, audit trails, and secure SDLC. Ability to adapt to changing priorities and work effectively in a fast-paced environment. Core benefits for you: 🕘 Flexible and hybrid working ⚖️ A company culture that promotes work life balance 🌱 Commitment from employers to continued learning and development 🧠 Access to Employee Assistance Programme 💸 Annual bonus 🌍 Enhanced holiday allowance + bank holidays 🕊️ Group life assurance 👵 Pension 🎉 Social events 🤒 Sick pay 🚲 Cycle to work scheme 🌳 Access to free and regular personal development & wellbeing events We request all applicants to complete a confidential equalities monitoring form. The data collected will help us identify recruitment trends and address any concerns. More information about Medica and the work we do can be found here - _ We are a 2024 Circle Back Initiative Employer – we commit to respond to every applicant. Your application has been successfully submitted! _

Join the team redefining how the world experiences design. Servus, hey, g'day, mabuhay, kia ora, 你好, hallo, vítejte! Thanks for stopping by. We know job hunting can be a little time consuming and you're probably keen to find out what's on offer, so we'll get straight to the point. Where and how you can work Our flagship campus is in Sydney, Australia but Austria is home to part of our European operations. And you have choice in where and how you work, we trust our Canvanauts to choose the balance that empowers them and their team to achieve their goals. Fun fact, a big part of our Austrian operations is developing the AI product within Canva to help reimagine how artificial intelligence can be used in design. Pretty cool ha! At Canva, our mission is to empower the world to design. We’re building AI that feels magical and lands real impact for millions of people - helping anyone create with confidence. We're looking for a Machine Learning Engineer to own the data foundations that power our multimodal agent research—building the pipelines, datasets, and tooling that turn ambitious research ideas into trainable reality. About the team We explore multimodal agentic architectures, build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. We are a cutting-edge post-training team, developing new multimodal agentic systems. We work on all topics of multimodal modelling, post-training and design agents, we build scalable training and evaluation loops, and partner closely with product and platform teams to turn breakthroughs into delightful product features. About the role You'll be responsible for the data lifecycle that fuels our agent research: from collection and curation through to preprocessing, quality assurance, and delivery into training pipelines. You'll work closely with research scientists to understand what data is needed, then design and build the systems to make it happen—reliably and at scale. You'll have significant autonomy over how data problems get solved, while aligning on what problems matter most with the broader team. What you'll do Design and build data pipelines for agent training: collection, filtering, deduplication, formatting, and versioning across text, image, and multimodal sources. Build and maintain infrastructure for efficient data loading, storage, and retrieval at scale (S3, distributed systems, streaming pipelines). Collaborate with research scientists to translate research requirements into concrete data specifications, and iterate as experiments reveal new needs. Create evaluation datasets and benchmarks in collaboration with researchers—curating task distributions that surface real failure modes. Develop tooling for dataset construction—including human annotation workflows, synthetic data generation, and preference data collection for RLHF/DPO-style training. Own data quality: build validation frameworks, monitor for drift and contamination, and establish standards that make datasets trustworthy and reproducible. Document datasets thoroughly: provenance, known limitations, intended use cases, and versioning history. Implement comprehensive test coverage for data pipelines and ML workflows, ensuring reliability and catching regressions early. Elevate codebase quality through code reviews, refactoring, and establishing engineering best practices that help research velocity scale sustainably. Contribute to team roadmaps by identifying data bottlenecks and proposing solutions that unblock research velocity. You're likely a match if you have Strong software engineering skills in Python, with experience building production-grade data pipelines and ML DevOps. Practical experience with prompt engineering—designing, testing, and refining prompts for reliable LLM/VLM outputs. Experience with ML data workflows: large-scale data processing and loading (Ray, or similar), data versioning, and format considerations for training (tokenization, batching, sharding). Hands-on experience working with data pipelines for large-scale distributed ML training runs. Familiarity with annotation tooling and human-in-the-loop data collection (Label Studio or internal systems). Understanding of ML training requirements—you know what "good data" looks like for LLM/VLM fine-tuning and can anticipate downstream issues. Experience loading and writing large datasets to/from cloud infrastructure (AWS) and distributed storage systems. Strong communication skills: you can work with researchers to scope ambiguous problems and translate needs into actionable plans. A collaborative approach, comfortable taking ownership and iterating quickly. Nice to have Experience with preference data collection for RLHF or reward modelling. Familiarity with multimodal data (image-text pairs, video, design assets). Experience building synthetic data generation pipelines using LLMs. Background in data quality metrics and monitoring systems. Contributions to dataset releases or benchmarks in the ML community. What's in it for you? Achieving our crazy big goals motivates us to work hard - and we do - but you'll experience lots of moments of magic, connectivity and fun woven throughout life at Canva, too. We also offer a range of benefits to set you up for every success in and outside of work. Here's a taste of what's on offer: • Equity packages - we want our success to be yours too, • Inclusive parental leave policy that supports all parents & carers, • An annual Vibe & Thrive allowance to support your wellbeing, social connection, office setup & more, • Flexible leave options that empower you to be a force for good, take time to recharge and supports you personally Check out _ for more info. Other stuff to know We make hiring decisions based on your experience, skills and passion, as well as how you can enhance Canva and our culture. When you apply, please tell us the pronouns you use and any reasonable adjustments you may need during the interview process. We celebrate all types of skills and backgrounds at Canva so even if you don’t feel like your skills quite match what’s listed above - we still want to hear from you! Please note that interviews are conducted virtually.

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.

1inch is the DeFi ecosystem building financial freedom for everyone. 1inch products help users and builders trade, hold and track digital assets - with the self-custody, comprehensive security and the intuitive user experience they need to unlock the potential of true crypto ownership. 1inch protocols and APIs provide core infrastructure across the DeFi industry and beyond. So if you’re someone who thinks big, moves fast and wants to make an impact right from day one, then get ready to join our industry-changing team. Location: We prioritise candidates who are based in Dubai then consider those working remotely in one of our European Hub Locations (UK, Spain or Germany). We are seeking a talented Data Scientist with focus on product analytics to join our Data & Analytics team and drive data-driven decision making across our organisation. In this role, you will analyse complex datasets, conduct research, and provide valuable insights to support product strategy and business growth. You must have Data Science experience. • Analyse and interpret large-scale on-chain and off-chain datasets to inform business decisions, • Design and maintain data collection processes and event storage systems, • Conduct research to identify patterns, trends, and growth opportunities, • Create intuitive dashboards and data visualisations for internal teams and external partners, • Propose and test hypotheses with empirical evidence, • Monitor and evaluate product metrics and user behaviour patterns, • Present findings and recommendations to stakeholder, • 3+ years of experience in data/product analytics, • BS in Computer Science, Engineering, Statistics, or related field, • Design and maintain data collection processes and event storage systems, • Conduct research to identify patterns, trends, and growth opportunities, • Experience creating intuitive dashboards and data visualisations for internal teams and external partners, • Excellent communication skills with ability to present complex findings to diverse stakeholders, • Proficiency in creating data visualizations and building analytical dashboards (Mixpanel, Metabase), • Intermediate SQL, Python knowledge, • Familiarity with A/B tests and Casual Inference, • Understanding of product analytics and user behaviour analysis, • Crypto/Web3 analytical stack (Dune, Nodes, Flipside), • Low level blockchain data understanding (traces, events), • Experience in uncovering business-driving data insights, • Join a young, creative team in a fast-paced and supportive environment, • We’re open to new ideas — if you’ve got a vision, pitch it and make it happen, • Enjoy competitive pay that matches your skills and experience, • Be part of a company that’s shaping the future of DeFi, • Take time when you need it — we offer unlimited vacation days, • Get fully compensated for your work gear — we’ll set you up for successWe may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. 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.

At Wayve we're committed to creating a diverse, fair and respectful culture that is inclusive of everyone based on their unique skills and perspectives, and regardless of sex, race, religion or belief, ethnic or national origin, disability, age, citizenship, marital, domestic or civil partnership status, sexual orientation, gender identity, veteran status, pregnancy or related condition (including breastfeeding) or any other basis as protected by applicable law. Founded in 2017, Wayve is the leading developer of Embodied AI technology. Our advanced AI software and foundation models enable vehicles to perceive, understand, and navigate any complex environment, enhancing the usability and safety of automated driving systems. Our vision is to create autonomy that propels the world forward. Our intelligent, mapless, and hardware-agnostic AI products are designed for automakers, accelerating the transition from assisted to automated driving. In our fast-paced environment big problems ignite us—we embrace uncertainty, leaning into complex challenges to unlock groundbreaking solutions. We aim high and stay humble in our pursuit of excellence, constantly learning and evolving as we pave the way for a smarter, safer future. At Wayve, your contributions matter. We value diversity, embrace new perspectives, and foster an inclusive work environment; we back each other to deliver impact. Make Wayve the experience that defines your career! As the Engineering Manager of Semantic Understanding, you will lead a development team focused on extracting rules from the environment that influence driving behaviour. Initially, these will feed into ADAS functions such as lane assist, traffic sign detection, and ODD classification, as part of our ADAS One-Stop Shop product. Our AV2.0 approach to ADAS outperforms the current systems available in the market, enabled by large volumes of data, edge filtering, and validation at scale. We are looking for a system-oriented leader with cross-functional experience to bridge this world of conventionally perception-based features to end-to-end learning. Key responsibilities: • Help define and drive the Semantic Understanding roadmap, lead technical discussions and guide direction where needed., • Build a resilient team which prioritises effectively, anticipates the needs of the business, and maintains a culture of impact., • Understand Wayve’s end-to-end approach and how it maps to AV 1.0, drawing parallels in our development story and highlighting key advantages. This may include external engagements where necessary., • Dive into data analytics, constructing evaluation suites, and get in-vehicle experiences from time to time to ground your understanding of the system., • Drive cross-functional initiatives through effective communication, working through organisational boundaries when necessary to deliver on company goals and priorities. In order to set you up for success as an Engineering Manager at Wayve, we’re looking for the following skills and experience. Essential • Proven track record of managing engineering teams., • Solid understanding of machine learning fundamentals., • Experience with roadmap planning, stakeholder management, requirements gathering and alignment with peers towards milestones and deliverables., • Track record of promoting software engineering best practices and excellence within the team., • Demonstrated ability to manage software engineers and grow their careers., • Good foundational coding knowledge and experience. Desirable • Experience developing ML systems., • Experience with perception systems, trained and deployed at scale., • Experience with offline autolabelling., • Experience with performance evaluation of embodied AI systems., • Development experience in Python., • Experience developing ADAS functions. This is a full-time role based in our office in London. At Wayve we want the best of all worlds so we operate a hybrid working policy that combines time together in our offices and workshops to fuel innovation, culture, relationships and learning, and time spent working from home. We operate core working hours so you can determine the schedule that works best for you and your team. We understand that everyone has a unique set of skills and experiences and that not everyone will meet all of the requirements listed above. If you’re passionate about self-driving cars and think you have what it takes to make a positive impact on the world, we encourage you to apply. For more information visit _ To learn more about what drives us, visit _ DISCLAIMER: We will not ask about marriage or pregnancy, care responsibilities or disabilities in any of our job adverts or interviews. However, we do look to capture information about care responsibilities, and disabilities among other diversity information as part of an optional DEI Monitoring form to help us identify areas of improvement in our hiring process and ensure that the process is inclusive and non-discriminatory.

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

At Data Intellect it has never been just about data or technology, they are our tools. It’s about human intellect, collaboration and providing solutions for the most complex of challenges. We do this by living the [DI] code: We are Problem Solvers who are Humble, possess a Can-do Attitude with a focus on Togetherness. “We are not big on egos, but we’re not for the faint-hearted either” – Steve Turner, CEO We are hiring for developers for our growing Market Abuse Surveillance practice. What you’ll be doing: • Working with business users to define requirements for new application functionality, • Developing, testing, supporting and maintaining all code for client applications, • Assisting the Project Manager with all aspects of project delivery, • Working as part of a team to deliver projects on time and on budget, • Analysing data and creating reports for clients to present findings, • Mentorship and training of junior developers Experience and skills required: • Minimum 3+ years kdb+ development experience, • Knowledge and experience in KX Surveillance, or of technical solution development in a surveillance, context is highly advantageous, • Ability to learn new programming languages and financial concepts quickly - logical thinkers and problem solvers wanted, • Familiarity with Software Development Methodologies, • Good knowledge of the Systems Development Life Cycle, • Detail-orientated, results driven and in possession of a can-do attitude, • Capable of working both independently and within a team, • Excellent client facing skills, • Minimum 2:1 degree in Mathematics, Physics, Computer Science or any other scientific/engineering discipline Experience and skills desired*: *But don’t rule yourself out if you haven’t had the opportunity to develop these skills yet • Knowledge of Trade Surveillance technology and Market Abuse regulations in one or more jurisdictions, • Experience of other programming languages, e.g. Python, • KX Surveillance deployment and enhancement, • Experience with application of AI and Machine Learning, • Cloud development experience, • Experience of other data solutions, specifically Time Series Experience in an investment bank or large financial organisation, • People management experience, • Technical lead of project or sub-team What we offer: • Flexible working – we offer hybrid working so our people can achieve that elusive work/life balance., • Professional development – we offer extensive training, ranging from leadership to specific technical skills., • Progression opportunities - we run a biannual promotion process. Monthly 121s with your People Leader provides support to guide you and your career in the right direction., • International travel opportunities – we offer the opportunity to work internationally, with teams in Belfast, London, New York, Hong Kong & Singapore, • Healthcare cover – provider is dependent on region, UK is provided by Benenden Health, including 24/7 GP Service & Mental Health Helpline to give you peace of mind when it comes to your health, • Generous referral scheme – we love to see referrals and referring a friend means cash for you!, • Regular social events, prizes and giveaways – our talented social committee work hard all year round to provide exciting events across all regions to promote our value of togetherness A little background on DI Simply put – we turn big data problems into smart data solutions At our core, Data Intellect is a data and technology consultancy firm. Our key area of expertise is financial and capital markets technology solutions. However, the utility of these solutions allow us to apply fintech data expertise to other industries such as smart energy and healthcare. This proprietary offering is complemented by a wealth of experience in data engineering, electronic trading systems, data capture applications, regulatory and compliance systems and middle and back-office enterprise web solutions. Fair employment and equal opportunities Data Intellect is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Accommodations are available on request throughout the assessment and selection process. Welcome to Data Intellect. #ChallengeAccepted

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

About Us At Versa Networks, we're revolutionizing the way businesses connect, secure, and optimize their networks. Our mission is to secure anywhere, anytime access to anything. As a leader in Secure SD-WAN, SSE (Secure Service Edge), SASE (Secure Access Service Edge) and Next-generation Managed Services, we are empowering organizations across the globe to transform their IT infrastructure for the modern cloud era. Our innovative products enable enterprises to deliver a seamless, scalable, and secure digital experience, no matter where their users, devices, or applications are located. Founded by industry veterans and backed by premier venture capital firms, Versa is a market leader driving innovation and growth as it positions itself for a future IPO. We believe in fostering a culture of innovation, collaboration, and customer success. Our team is comprised of passionate, forward-thinking professionals dedicated to driving the future of networking technology. We encourage creativity, offer opportunities for growth, and provide a dynamic environment where our people can thrive and make an impact. At Versa Networks, we don’t just build products – we build relationships, elevate businesses, and shape the digital future. Join us and be part of a fast-paced, cutting-edge company that's making a real difference in how the world connects and communicates. Job Summary We are looking for passionate, entrepreneurial, and tech-savvy Sr. Systems Engineers to help our customers and partners evaluate, adopt and expand the use of our technology. Responsibilities • Provide pre-sales technical support and technical expertise to our customers and partners with objective to achieve sales targets., • Establish trusted advisory role with strategic customers and partners (CIO, CISO)., • Enable and/or update partner network on product evolution., • Perform workshops with prospects or customers on product evaluations and do demonstrations., • Perform hands-on tests to validate customer proof-of-concept setups, network designs, and network deployments using new products and feature., • Respond to RFI’s/RFP’s., • Provide market and product feedback to product management and back-office., • Keep up-to-date on competitive solutions, products, and services., • Author whitepapers, knowledge base articles, and other customer/partner facing content. Qualifications • Experience in planning and designing or operating service provider or large enterprise WAN/LAN networks, • Knowledge on solutions on Cloud security with FWaaS, DLP, CASB, RBI and Malware prevention solutions., • Knowledge on technologies used in the security scene, such as proxies, SSL/TLS, VPN’s, Active Director/SAML/LDAP, threat prevention and mitigation, • Understanding networking and security architectures on the SASE framework., • In depth understanding of TCP/IP protocol stack and operation., • Knowledge on WAN technologies and protocols like MPLS, MPLS based VPNs, BGP, OSPF, QoS, NAT, Multicast., • Knowledge in architecting and/or managing large-scale, high performing and resilient Enterprise networking and security solutions., • Knowledge on Linux administration., • Beneficial Skills:, • Knowledge on best practices architectures for SaaS applications., • Hands-on experience in public and private cloud technologies such as AWS, Azure, Openstack, VMware., • Shell scripting, python scripting knowledge. Location: United Kingdom *Applicants must be authorized to work in the UK Why Versa? At Versa Networks, we believe in taking care of our people – both professionally and personally. We offer a comprehensive benefits package designed to support the well-being, growth, and work-life balance of our employees. When you join our team, you can expect: • Competitive Salary & Incentives: We offer a competitive compensation package with and pre-IPO equity to reward your hard work and dedication., • Health & Wellness: Comprehensive medical, dental, and vision insurance plans to ensure you and your family stay healthy and covered., • Paid Time Off (PTO): Enjoy a generous PTO policy that includes vacation days, sick leave, and paid holidays to recharge and take care of personal matters., • Flexible Work Environment: We understand the importance of work-life balance. Enjoy the flexibility of remote work, and hybrid option to create the work schedule that works best for you., • Professional Development: We believe in continuous learning. Access to training, certifications, and educational resources to help you grow in your career and stay ahead of industry trends., • Employee Recognition: We celebrate achievements both big and small, with regular recognition programs and awards that highlight your contributions to our collective success., • Collaborative Culture: Be part of a dynamic, inclusive, and supportive team where innovation and collaboration are at the heart of everything we do., • Parental Leave: Generous parental leave policies to support you during life's important moments. At Versa Networks, our benefits are designed to help you thrive both inside and outside the office. Join us and experience a rewarding, fulfilling career in a supportive environment that values your health, happiness, and success. Versa Networks is an Equal Opportunity Employer. We are committed to providing equal employment opportunities to all employees and applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected characteristic. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation, and training.

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact _. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK. As a Senior Software Engineer in our Defence business unit, you will lead backend and edge/IoT engineering for critical work streams, implementing robust, scalable patterns. You’ll bridge the gap between machine learning research and production-grade software, raising the technical bar through hands-on contribution and peer mentoring. Working alongside Lead Engineers and Data Scientists, you will scope and deliver high-impact solutions that provide immediate value to our customers in a fast-paced, entrepreneurial environment. Designing and building robust backend and edge/IoT components for diverse client deliverables across multiple software domains. Scoping and executing bounded technical problems to ensure high-velocity delivery. Shipping production-ready code in Python and at least one compiled language such as Rust, C++, Go, C#, or Java. Implementing scalable CI/CD processes, containerisation with Docker, and deployments on Kubernetes or bare metal. Mentoring and pairing with fellow engineers to share best practices and empower the team to deliver their best work. Collaborating with Machine Learning and Data Science teams to operationalise agentic software and advanced AI tooling. You possess strong hands-on experience in application development and a solid understanding of modern system architecture and design. You have a proven track record of shipping code used by paying customers in both Python and a compiled language. You are highly skilled in DevOps practices, including GitLab CI/CD, Docker, and managing applications in production environments. You bring experience with agentic software development and a passion for understanding and solving complex customer problems. You thrive when acting as a key contributor within a squad, taking ownership of technical challenges and elevating the team's output. You communicate effectively with technical and commercial stakeholders, translating complex requirements into robust engineering solutions. Talent Team Screen (30 minutes) System Design Interview (90 minutes) Pair Programming Interview (90 minutes) Commercial & Leadership Interview (60 minutes) We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. 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 an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Code generation and code review, • Prompt evaluation and complex data annotation, • Training and evaluation of large language models, • Benchmarking and agent-based code execution in sandboxed environments, • Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.), • Adapting guidelines for new domains and use cases, • Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects Note: Flexibility and quick adaptation to new requirements are essential. 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 Bachelor's Degree in Software Development, Computer Science, or other related fields., • You have at least 3 years of professional experience with Ruby, including strong knowledge of object-oriented programming, metaprogramming, and idiomatic Ruby practices., • Your level of English is advanced (C1) or above., • Proficient with code review, quality analysis, and identifying/fixing code smells, anti-patterns, and test gaps in Ruby codebases., • Experience with test integration in CI/CD environments (GitHub Actions, GitLab CI, Jenkins, or CircleCI)., • Comfortable with standard version control workflows (Git) and Linux CLI tools., • Experience using, integrating, or tutoring others with AI/ML or LLM-powered testing/coding solutions in Ruby projects., • Familiarity with containerization technologies (Docker), automated deployment, and scripting within Ruby environments., • Strong skills in defect documentation, profiling, and debugging Ruby applications., • Experience generating and maintaining high-quality documentation for tests, bugs, and technical debt., • Hackathon or competitive coding experience is a plus., • 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 $44/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.

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.

Salary: £40,000 - £50,000 Location: We’re looking for someone based in the UK to help us better support our clients and collaborate closely with our wider team. This is a remote role, so you can work from wherever you feel most comfortable. --- At Substrakt, a UK based company with Global impact, we help arts and cultural organisations create exceptional digital experiences and we’re looking for a Backend Engineer to help us do just that. As part of our Engineering team, you'll build robust, high-quality backend solutions that power our clients’ websites and digital products. From new website builds and custom integrations to performance optimisations and security enhancements, you’ll play a vital role in delivering outstanding products and services. Substrakt is an equal opportunities employer. We believe that diversity of thought and experience makes us stronger, and we actively encourage applications from people of all backgrounds, identities, and abilities. Read more about our approach to _. • Create exceptional backend solutions: Work on a range of projects across our client base including new builds, updates to existing websites, API integrations, infrastructure configurations, and other server-side tasks. You’ll work with modern technologies such as PHP, WordPress, MySQL, SQL, Python, Wagtail, Heroku and AWS (S3, CloudFront, RDS) - always with performance, security, and scalability in mind., • Ensure quality and performance: Write clean, efficient, and secure code following best practices. You’ll test thoroughly, debug issues, and optimise performance to ensure reliable and seamless user experiences. You’ll also contribute to code reviews and help maintain our high technical standards., • Collaborate and contribute: Work closely with frontend engineers, designers, and client-facing roles to ensure smooth delivery. You’ll communicate directly with clients when needed to explain technical decisions, and support Producers and Support & Solutions Managers in scoping and technical planning., • Own your work: Take responsibility for the technical quality of your solutions, contribute to internal best practices, and help shape the future of our backend engineering processes. You’ll participate in solution reviews, submit and conduct code reviews, maintain technical documentation, and support continuous improvement., • Strong experience in backend development using modern frameworks and tools (e.g., PHP, Python, WordPress, Wagtail, Django), • Familiarity with relational databases (MySQL) and cloud infrastructure (Heroku, AWS, Cloudflare), • Understanding of performance optimisation, secure coding practices, and scalable system design, • Enthusiasm for working collaboratively within a multidisciplinary team, • A friendly and helpful approach to communicating directly with clients, • Initiative, problem-solving mindset, and a drive to deliver high-quality work, • Openness to learn, share knowledge, and support others We’re a purpose-driven team, who are B-corp accredited, that values creativity, openness, and continual improvement. We believe in creating work we’re proud of and supporting each other to grow along the way. You’ll have the chance to work with some of the most inspiring arts and cultural organisations, contributing to meaningful projects that make a real impact. • We operate a flexible, hybrid working model that supports autonomy and work-life balance., • We have enhanced time off policies too with a focus on parents and carers, vacation days (you’ll get 25 days, plus bank holidays and you’ll never work a birthday again - because we give you that off), • We offer NHS cashback scheme to support healthcare costs and a monthly wellbeing allowance of £50 to spend on whatever makes you feel good (whether that be a gym membership, a meal out, or a treatment of some kind), • Everyone gets 6 days per year to focus on their own professional development, and a £500 budget to go along with that too., • We invest heavily in communication and connection through weekly mailers, an intentional meeting cadence and internal awards. We also organise and cover the cost of bi-annual team gatherings to museums, art galleries and theatres., • Not all benefits come in the form of traditional ‘perks’. At Substrakt, we place a strong emphasis on building the right team structure and workflows, so everyone knows what they’re accountable for and can focus on doing their best work., • All team members have the opportunity to participate in our steering groups which aren’t just ‘nice to haves’ - they help everyone stay curious and influence the way Substrakt approaches things like Equality, Diversity and Inclusion, Internal Culture, Accessibility, AI, and Sustainability If this sounds like you, and you like the sound of us, we’d love to hear from you.

Join the Growth Story at Envitia Envitia operates at the heart of the UK’s most sensitive and high-profile operations. Our approach is entirely mission-focused, enabling customers to see more, decide faster, and act with confidence across complex domains. We deliver situational awareness and information advantage across C5ISR, fusing cyber, geospatial, and kinetic data into an operational picture. This transforms fragmented data into a shared understanding of the battlespace, delivering actionable insight when it matters most. Our solutions are secure-by-design, built from the ground up to protect sensitive information and ensure resilience in contested environments. We simplify complex heterogeneous data sources into a rich picture of fused intelligence, providing a digital backbone that underpins success. We operate as small teams delivering fast value, blending deep technical expertise with agile methods to deliver measurable outcomes. Every engagement focuses on capability, clarity, and confidence for those who protect the nation. A career with Envitia enables you to work with mission driven innovation. We’re thrilled to announce that Envitia has been named one of the Sunday Times Top 100 Medium-Sized Companies to Work For in 2025—a prestigious recognition that highlights our commitment to creating an outstanding workplace where innovation, collaboration, and personal growth thrive. The Role Envitia is recruiting for a Data Engineer to join our Security and Intelligence consulting team, who will be responsible for designing, building and maintaining secure, scalable data platforms and pipelines that enable advanced analytics and operational intelligence capabilities. The role focuses on engineering robust data architectures capable of ingesting, processing and distributing large-scale datasets, supporting downstream analytics, machine learning and mission applications. The successful candidate will work within multi-disciplinary agile teams, collaborating with data scientists, software engineers, DevOps specialists and mission analysts to deliver production-grade data solutions. Typical engagements include: • Engineering large-scale data ingestion and processing pipelines, • Designing data lakes and distributed data platforms, • Enabling analytics and AI/ML workloads, • Supporting intelligence data exploitation workflows, • Integrating multiple classified data sources across secure environments Job Responsibilities • Design, build and maintain secure, scalable data platforms capable of processing large volumes of operational data., • Develop and operate robust data lakes and distributed data processing environments within secure or regulated settings., • Engineer high‑performance data ingestion pipelines for batch and streaming data from multiple sources, including sensor, geospatial, communications and operational systems., • Design and implement ETL/ELT workflows to transform, enrich and validate data for downstream analytics and machine learning use., • Build scalable, distributed data processing solutions using modern big data and parallel processing technologies., • Ensure data quality, reliability and performance through monitoring, validation and operational support mechanisms., • Collaborate closely with data scientists to enable analytics and AI/ML workloads, including feature pipelines and data preparation processes., • Optimise data storage and processing architectures to support high‑performance analytical environments., • Contribute to DevSecOps and cloud‑native delivery, including automated deployment, infrastructure provisioning and containerised environments., • Support the ongoing operation, observability and resilience of production data platforms. Skills Required • Experience in data engineering using modern programming languages such as Python, Java or Scala, and SQL., • Hands‑on experience building and operating large‑scale data pipelines using big data and distributed processing technologies (e.g. Apache Spark, Hadoop)., • Experience designing and maintaining data lakes, distributed storage platforms, and data pipeline orchestration tools., • Experience working with cloud‑native data platforms, with strong expertise in AWS and native data services., • Familiarity with Infrastructure as Code and modern cloud‑native data architectures., • Experience working in DevSecOps environments, including Docker, Kubernetes, CI/CD pipelines, and observability/monitoring tooling., • Ability to work directly with stakeholders to understand data requirements and translate them into robust, scalable data engineering solutions., • Comfortable working in secure, regulated or constrained environments, delivering solutions within complex operational settings. Security Clearance Requirements The successful candidate must be eligible for an enhanced Developed Vetted / eDV security clearance. Location It is anticipated the role will require up to 80% (4d/wk) onsite working at client locations – Gloucester, London, Manchester (based on project requirements). What’s in it for you? At Envitia, our greatest asset is our team. We are committed to ensuring our workplace is one where every employee feels valued, supported and motivated to reach their full potential. As part of this commitment, we offer an exciting range of benefits designed to enhance both your professional and personal well-being. • More time for you: Enjoy 25 days of annual leave plus your birthday off, because you deserve to celebrate you. Want more flexibility? You can buy or sell up to 5 extra days to tailor time off around what matters most., • Private Medical Insurance: We’ve got you covered with comprehensive private healthcare, including family options for added peace of mind., • Security Clearance Bonus: Up to £5,000 year, • Career growth that keeps you ahead: We invest in your future with ongoing training and development, so you’re always learning, growing and staying ahead of the curve., • Wellness that works for you: Love yoga, or going to the gym? We encourage an active lifestyle and support your wellness goals with a fitness reimbursement scheme that helps cover your gym membership or fitness-related expenses., • Life Assurance: Gain peace of mind with our life insurance coverage that ensures your loved ones are protected, because we care about your future as much as your present., • Smarter Retirement Planning: Plan for your future with our pension options and resources to help build a secure financial foundation., • Perkbox: Treat yourself! From shopping to spa days, to saving money on that new TV, our Perkbox membership gives you access to exclusive discounts on hundreds of products and services., • Recognition that counts: Great work doesn’t go unnoticed here. Our reward and recognition scheme celebrate your impact and let your brilliance shine., • Give back and get involved: Join us in making a difference through paid volunteering days that let you support the causes that matter to you. Inclusion at Envitia At Envitia, we celebrate diversity and are committed to creating an inclusive environment for all employees. We welcome applicants from all backgrounds and walks of life. We believe that our strength lies in our differences, and we are dedicated to fostering a workplace where everyone feels valued, respected, and empowered. We encourage applications from people of all abilities, ages, genders, sexual orientations, races, ethnicities, and religions. We strive to support a culture of inclusion, accessibility, and work-life balance. If you require any accommodations during the application or interview process, please let us know.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please provide your resume in English and specify your proficiency level. 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 an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Code generation and code review, • Prompt evaluation and complex data annotation, • Training and evaluation of large language models, • Benchmarking and agent-based code execution in sandboxed environments, • Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.), • Adapting guidelines for new domains and use cases, • Following project-specific rubrics and requirements, • Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects Note: Flexibility and quick adaptation to new requirements are essential. 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 Bachelor's or Master's Degree in Software Development, Computer Science, or other related fields., • You have at least 3 years of professional experience, including hands-on experience with Ruby testing frameworks (RSpec, Minitest, Capybara) and automation tools., • Your level of English is advanced (C1) or above., • Proficient with code review, quality analysis, and identifying/fixing code smells, anti-patterns, and test gaps in Ruby codebases., • Experience with test integration in CI/CD environments (GitHub Actions, GitLab CI, Jenkins, or CircleCI), • Experience using, integrating, or tutoring others with AI/ML or LLM-powered testing/coding solutions in Ruby projects., • Familiarity with containerization technologies (Docker), automated deployment, and scripting within Ruby environments., • Strong skills in defect documentation, profiling, and debugging Ruby applications., • Experience generating and maintaining high-quality documentation for tests, bugs, and technical debt., • Hackathon or competitive coding experience is a plus., • 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 $44/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.

itD is seeking a Sr. Software Engineer/SRE (Site Reliability Engineer). We are looking for a highly motivated Lead Site Reliability Engineer on the Observability team. You will lead the design, development and operation of large-scale, secure observability systems that make sure our services stay online and performant. We're a team of passionate software engineers that value quality and customer experience. Our team is based in the US and EMEA, and we embrace hybrid and remote work. The opportunity is remote in the UK. We provide comprehensive medical benefits, a 401k plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Internal Responsibilities: Attend regular internal practice community meetings. Collaborate with your itD practice team on industry thought leadership. Complete client case studies and learning material (blogs, media material). Build out material to contribute to the Digital Transformation practice. Attend internal itD networking events (in person and virtual). Work with leadership on career fast-track opportunities. Job Title: Senior Site Reliability Engineering for Observability Work Location: UK (Remote) Duration: 12 months Working hours: 11am to 7pm (mostly) Interviews: 2 Webex Video Rounds The Meraki cloud supports millions of customer devices from 8 data centers around the world. Meraki’s customer base has grown by a factor of 2-3 every year, serving billions of HTTP requests per day globally. Our customers depend on our products to run their critical infrastructure of network switches, security appliances, wireless APs and security cameras. As SREs at Meraki, we are responsible for building and growing the cloud that supports these customers and their networks. As a Lead Site Reliability Engineer on the Observability team you will lead the design, development and operation of large-scale, secure observability systems that make sure our services stay online and performant. We're a team of passionate software engineers that value quality and customer experience. Our team is based in the US and EMEA, and we embrace hybrid and remote work. Examples of projects our team works on: ● Design, deploy and scale our Prometheus architecture to handle 100+ million active series and beyond. ● Deploy and operate large, high-performance ElasticSearch clusters holding 2000+TB of data. ● Deploy and grow high-throughput data pipelines built on Kafka, handling hundreds of thousands of events per second. ● Design and build an alerting system that allows engineering teams to construct alerts from multiple data sources and alerting workflows. ● Write libraries and APIs that give engineers self-service access to our monitoring, logging, and other observability systems. ● Use Terraform to deploy public and private cloud infrastructure. You are an ideal candidate if you: ● Have 5+ years experience designing, deploying and operating mid to large size distributed systems on VMs or bare metal machines running Linux (we run Debian and Ubuntu). ● Have 2+ years experience developing with languages like Ruby, Python, Go, Scala, or Bash. ● Are excited by the challenge of solving difficult problems in large distributed systems that deal with huge amounts of data. ● Want to work on a highly autonomous team that cares deeply about quality and customer experience. ● Are curious, learn fast and feel comfortable diving into unfamiliar code and systems to solve problems. ● Understand the value of observability and can work with other teams to help them better monitor their services. ● Are willing to be part of a production on-call rotation. ● Have direct experience with the following technologies (or similar): Elasticsearch Logstash Kibana (ELK) stack, Kafka, Prometheus/Thanos/Cortex, Graphite, Ansible, Terraform, Consul. ● Have strong experience in building out solitons based on Software engineering best practices. Preferred Skills: Enterprise and Tech Industry experience: Cisco, Meraki, Google, ServiceNow, Meta, etc. Education: Bachelor’s degree in Computer Science, Software Engineering, Information Technology, or a closely related field. Company Description About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You’ll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints. The itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit https://itdtech.com/careers to learn more about what working at itD can mean for you. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at recruiting@itdtech.com and let us know the nature of your request and your contact information. Additional Info Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!

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

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.

📍 London, Cardiff or Remote in the UK | | ✨| Check out our _ 🚀 What you’ll be working on: The Analytics Engineering team is responsible for building downstream data models from backend services with the desire to make our Data Warehouse a genuine competitive advantage for Monzo. We want a discipline capable of building an amazing Data Warehouse to support decision making, Business Intelligence, key financial reconciliation processes and best in class analytics and Data Science. You’ll enable our data driven approach, and: • Support the building of robust data models downstream of backend services (mostly in BigQuery) that support internal reporting, machine learning as well as financial and regulatory use cases., • Focus on optimisation of our Data Warehouse, spotting opportunities to reduce complexity and cost., • Help define and manage best practices for our Data Warehouse. This may include payload design of source data, logical data modelling, implementation, metadata and testing standards., • Set standards and ways of working with data across Monzo, working collaboratively with others to make it happen., • Take established best practices and standards defined by the team, applying them within other areas of the business., • Investigate and effectively work with colleagues from other disciplines to monitor and improve data quality within the warehouse., • Contribute to prioritisation of data governance issues, • We all own and support the pipelines we contribute to, and on call support out of hours will be expected from time to time as part of this role We’d love to hear from you if… • You enjoy working with cross functional fast moving teams and are passionate about serving small businesses., • You are able to think strategically about the Business Banking product and how our underlying data models will unlock more insights for our team and more value for our customers., • You have a strong passion for data modelling, ETL projects, and Big Data., • You enjoy working with data streams from various services, such as financial, transactional, and operational systems., • SQL and data modelling are second nature to you, and you are comfortable with general Data Warehousing concepts., • You are committed to continuous improvement, proactively identifying opportunities and addressing challenges in your work and the work of others. Nice to haves • Any experience working within a finance function or knowledge of accounting., • Experience working in a highly regulated environment (e.g. finance, gaming, food, health care)., • Knowledge of regulatory reporting and treasury operations in retail banking, • Exposure to Python, Go or similar languages., • Experience working with orchestration frameworks such as Airflow/Luigi, • Have previously used dbt, dataform or similar tooling., • Used to AGILE ways of working (Kanban, Scrum) The Interview Process: Our interview process involves 3 main stages: • 30 minute recruiter call, • 45 minute call with the hiring manager, • Take home task, • 2-part final stage Our average process takes around 3 weeks but we will always work around your availability. You will have the chance to speak to our recruitment team at various points during your process but if you do have any specific questions ahead of this please contact us on tech-hiring@monzo.com Please also use that email to let us know if there's anything we can do to make your application process easier for you, because of disability, neurodiversity or any other personal reason. What’s in it for you: 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits_ If you prefer to work part-time, we'll make this happen whenever we can - whether this is to help you meet other commitments or strike a great work-life balance.

A1 is building a proactive AI chat app for everyday users to bring intelligence to conversations, errands, organising and workflows. Unlike traditional chat-based applications, our product focuses on achieving high reliability for long-running workflows, persistent context, and real-world task completion. The system must handle multi-step reasoning, interact with external tools, and remain reliable despite non-deterministic model behavior. As Technical Lead, Machine Learning, you own the execution layer of A1’s intelligence. You translate research direction into reliable, scalable, production-grade ML systems. This role sits at the intersection of research, infrastructure, and product. You are responsible for making models trainable, deployable, observable, and performant under real-world constraints. Own end-to-end ML system execution: data pipelines, training workflows, evaluation systems, inference architecture, and deployment. Fine-tune and adapt models using state-of-the-art methods such as LoRA, QLoRA, SFT, DPO, and distillation. Architect and operate scalable inference systems, balancing latency, cost, and reliability. Design and maintain data systems for high-quality synthetic and real-world training data. Implement evaluation pipelines covering performance, robustness, safety, and bias, in partnership with research leadership. Own production deployment, including GPU optimization, memory efficiency, latency reduction, and scaling policies. Collaborate closely with application engineering to integrate ML systems cleanly into backend, mobile, and desktop products. Make pragmatic trade-offs and ship improvements quickly, learning from real usage. Work under real production constraints: latency, cost, reliability, and safety Research and models reliably translate into production-ready solutions with clear performance and quality targets. ML pipelines, training loops, and inference systems are stable, efficient, and maintainable. Production issues are detected, debugged, and resolved quickly, minimizing user impact. Team members are supported, aligned, and able to deliver high-impact ML work with minimal friction. Iterations on models and systems are measurable, safe, and improve user experience over time. Python PyTorch / JAX GPU-based training and inference system You have built or shipped real ML systems used by people, not just demos. You are comfortable working with large models and understanding their failure modes. You write strong, production-grade code and care about system correctness. You are self-directed, pragmatic, and take full ownership of outcomes. You communicate clearly and collaborate well in small, high-trust teams. The best products today in the world were built by small, world class teams. We are a high talent density and hands-on team. We make decisions collectively, move at rapid speed, striking a balance between shipping high quality work and learning. Joining our team requires the ability to bring structure, exercise judgment, and execute independently. Our goal is to put in hands of our users a truly magical product If there appears to be a fit, we'll reach to schedule 3, but no more than 4 interviews. Applications are evaluated by our technical team members. Interviews will be conducted via virtual meetings and/or onsite. We value transparency and efficiency, so expect a prompt decision. If you've demonstrated the exceptional skills and mindset we're looking for, we'll extend an offer to join us. This isn't just a job offer; it's an invitation to be part of a team that's bringing AI to have practical benefits to billions globally.

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

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

Role title: Infrastructure and Cloud Services Engineer (Presales Focus) Salary: £50,000 - £60,000 Base Plus benefits Location: Cirencester/Hybrid (Requirements to work on site around the UK and in the office 2 days a week) This is a superb full time Infrastructure and Cloud Services Engineer opportunity to work across core infrastructure, Storage, Virtualisation, private Cloud (Nutanix, VMWare), Azure & Intune. This role will be 75% Pre-Sales and 25% Hands-On. The ideal candidate will have reseller or MSP background and will have worked with a multi-customer base. Your pre-sales/solutions experience will be around Proof of Concept (POC), Solution Design, Customer Facing, and you will also have the ability to do full implementations off the back of the pre-sales when needed. Main client base in in the M4 corridor and down in to London although client travel is minimal. The ideal candidate will be enthusiastic and demonstrate initiative - with an interest in developing technologies and keeping up to date with news skills in your their own time - R&D, exploring new tech etc. As a Presales focussed Infrastructure and Cloud Services Engineer, you will help shape and influence the technical strategy for the company while designing scalable, resilient, and innovative server, storage, and virtualization solutions. This role will lead the technical design and presales activities for infrastructure solutions (compute, storage, virtualisation, hybrid cloud). The role will involve a mix of technical presales and project delivery, primarily supporting customer engagements related to VMware, Nutanix, and cloud services. You will be a key contributor to the design, deployment, and lifecycle management of customer environments, helping our client grow its cloud and infrastructure service offerings. This role offers a pathway to specialise further into solutions architecture or technical sales leadership over time. Ideal experience - • Strong hands-on experience with VMware vSphere, vCenter, and related VMware technologies., • Strong hands-on experience with Nutanix Enterprise Cloud platforms., • Understanding of infrastructure sizing, HA design, backup/DR strategies, and performance tuning., • Good knowledge of hybrid cloud integrations and private cloud designs., • Customer-facing skills with the ability to translate technical requirements into business outcomes., • Experience with Modern Workplace technologies and solutions such as M365, Google Workspace, MS Intune, MDM Tools., • Experience with Azure and/or AWS environments (VM provisioning, storage, networking, IAM, cost control)., • Scripting and automation knowledge (e.g., PowerShell, Python, Ansible)., • Experience with backup solutions (e.g., Veeam, Carbonite, • Understanding of security principles related to infrastructure and cloud services., • Familiarity with enterprise storage technologies (SAN, NAS, HCI)., • Exposure to containerisation technologies (e.g., Kubernetes, Tanzu, Docker) would be advantageous., • Relevant certifications (e.g., VCP, NCP, Azure Administrator Associate, AWS Solutions Architect Associate). This role is ideal for someone passionate about infrastructure and cloud technologies who enjoys the blend of technical consulting and project delivery. You will be joining a fresh, vibrant, and ambitious team, with opportunities to further grow your career in cloud architecture, presales leadership, or technical consultancy. If your background aligns to the above requirements - please submit your application to Jackie Dean at Jumar for consideration. Candidates must be UK based and have the right to work in the UK without any restrictions. Jumar takes great pride in representing socially responsible clients who not only prioritise diversity and inclusion but also actively combat social inequality. Together, we have the power to make a profound impact on fostering a more equitable and inclusive society. By working with us, you become part of a movement dedicated to promoting a diverse and inclusive workforce.

_ is a fast-growing medical device software company headquartered in Bern, Switzerland. Our mission is to enable the right decisions sooner in healthcare, through transformative AI & data management solutions for disease screening and monitoring. Join our diverse team of entrepreneurs, developers, researchers, and commercial experts who are collectively shaping the future of healthcare. We are looking for a Cloud Engineer to join our team, where you will play a critical role in optimizing our cloud infrastructure to meet our customers’ needs. This position is pivotal to our mission of providing a seamless, secure, and scalable experience on our platform • Enhance and maintain highly available, secure, and scalable AWS cloud environments and services., • Manage and prioritize tasks in the cloud infrastructure backlog to address immediate needs and plan long-term improvements., • Set up infrastructure monitoring and observability solutions, proactively addressing availability, performance or security issues., • Learn the current infrastructure and take ownership of day to day cloud operational tasks and activities., • Assess new technologies, systems, and services for production readiness, ensuring seamless and stable integration., • Prepare and maintain documentation on cloud processes, procedures, and architectures to ensure clear understanding and team-wide knowledge., • Apply AWS Well-Architected Framework principles to evaluate and optimize our current infrastructure., • Contribute in out of office hour cloud deployments once or twice a month, • Conduct POCs (proof of concepts) on new AWS services, third-party tools, and technologies to drive continuous improvement in our infrastructure., • A demonstrated entrepreneurial and collaborative mindset with a proactive approach to problem-solving., • A university degree in Computer Science, Information Technology, or a related field., • 3-5 years of hands-on experience with AWS cloud services in a professional setting., • Proficiency with core AWS services, including IAM, S3, KMS, RDS, VPC, ECS, EC2, and more., • Experience working with multi-account and multi-region AWS production environment setups and using IaaC to manage them., • Strong hands-on experience with Infrastructure as Code (IaC) tools, preferably Terraform., • Scripting experience with one or more languages, such as Python, Bash, or Node.js., • Good knowledge of cloud security principles and services, such as AWS WAF, GuardDuty, Config and CloudTrail., • Familiarity with CI/CD pipelines and tools preferably GitLab, • Experience with software version control and Git., • Strong understanding of cloud networking concepts, including VPC, VPC Peering, Subnets, and Load Balancing., • Familiarity with monitoring and observability tools for cloud environments, such as Grafana, Prometheus, OpenSearch, and the ELK stack., • Strong analytical and problem-solving skills, with a proactive approach to challenges., • A genuine interest in staying updated with new AWS services and features, integrating advancements into the cloud environment., • Ability to work well in a flexible, startup environment, taking initiative to establish new processes when necessary., • Excellent verbal and written English communication skills., • Good listening skills., • Familiarity with industry best practices in cloud architecture principles., • Ability to work independently and collaboratively within a team setting., • Availability to work during Central European Time (CET) business hours. What We Offer • A chance to be part of an exceptional team driving innovation in healthcare., • A competitive salary in a supportive work environment that fosters work-life balance., • Opportunities for professional growth and development in an international setting., • A culture of collaboration and inclusion, which is fundamental to our ethos., • Occasional travel to our HQ in Switzerland, immersing you in our core operations and company culture.

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 .

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!

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.

Bloom & Wild is re-inventing the $60B global flower industry. Over a billion flower exchanges take place every year and industry satisfaction levels are low. Driven by our vision of creating the destination for making life a little more thoughtful and beautiful, we do things differently. From inventing letterbox flowers to founding The Thoughtful Marketing Movement. And we’ve seen impressive traction to date - we are Europe’s largest direct to consumer flower company. In January 2021 we announced our £75 million Series D funding round, led by General Catalyst (backers of Airbnb and Deliveroo), alongside other top tier investors including Index Ventures (investors in Wise and Glossier). We are home to a family of 3 strong brands, Bloom & Wild, bloomon and Bergamotte, having acquired bloomon in April 2021 and Bergamotte in July 2021. Together, we are active in 8 countries. We were named one of the 5 fastest growing tech companies in Europe and are alumni of Tech Nation’s Future Fifty. We were also one of the Sunday Times Top 100 Small Companies to Work For 2020. We really care about creating a diverse and inclusive team and we welcome people from all backgrounds, with different perspectives, ideas and experiences to work with us. In our team, everyone has the freedom to give their opinion, grow in their career and be part of a genuinely caring and inclusive team. Tech Team @ Bloom & WildOur Technology team sits at the heart of our business, building and maintaining the solutions that power e-commerce, production, and fulfillment. Our platform uses technologies including Ruby and Rails and Python/React, backed by PostgreSQL, Fargate/ECS on AWS, and Cloud Run on GCP. It exposes APIs that are used by our multi-brand Angular webapp and our native iOS and Android mobile apps. We’re also looking at developing new domain-driven services & microservices where applicable. Our Product Engineering team is organised into cross functional squads, each responsible for a business and architectural domain, supported by Platform and Data Engineering. You’ll join the Range squad, a cross-functional team within our Ops-Tech group. We focus on the internal systems that power range representation, product allocation, and stock management — a core domain of our business that directly influences what our customers see and receive. Our work connects closely with many other squads across Bloom & Wild, as we support the smooth flow of products from planning through to delivery. Most of our team is based in the UK and works in a flexible model, with choice in how often they travel to the office. Our squads meet all in person at least once per quarter in order to maintain connections, collaborate on larger projects and have fun together. You can read lots more about our technology stack and our culture over on our tech blog - _. 💻 What you’ll be doing…As a mid-level engineer in our Range squad, you’ll help build and maintain the internal tools that power our warehouse operations — from bouquet assembly to order fulfilment across multiple countries. • Working closely with our product manager, engineers, and stakeholders to understand real-world needs and translate them into working software., • Building and improving our internal tools using Ruby on Rails and related technologies., • Making iterative improvements to our monolith while contributing to the development of new features to support our rapidly expanding curated range of products., • Writing clear, tested, secure, maintainable code and participating in code reviews to ensure high-quality solutions., • Exploring new ideas and opportunities to improve our monolith and workflows., • Helping to shape our technical decisions by sharing your ideas and contributing to discussions about architecture, tooling, and best practices., • Contributing to technical discussions and helping ensure our solutions align with our technical strategy and business goals., • Collaborating with your squad to deliver work in small, valuable increments — using agile practices and modern tooling., • Monitoring, debugging and improving the performance of our systems with observability tools., • You are a Ruby developer (2+ years of experience) with good knowledge of Ruby on Rails in a production environment and are keen to keep growing your expertise., • You have experience working with RESTful APIs, version control tools such as GitHub, and testing tools like RSpec., • You’re curious about how things work — whether it’s diving into a new tool, exploring performance improvements, or figuring out how real-world problems translate into code., • You want to work in a kind, inclusive, and supportive environment where people care about their work and each other., • You have experience working in a fast-growing (preferably consumer-facing) startup / scaleup., • You have experience of distributed service architectures, including how best to test and release them, and how to ensure system stability when making changes independent of other services.Why Bloom & Wild?To care wildly for our customers, first we care wildly for our teams. We work hard to craft a culture of thoughtfulness and care, where there is a strong sense of inclusion and belonging, enabling all of our people to thrive and be successful each day. 🌻Work that works for you - Flexible working : our core hours are 10-4, but outside of these hours you can start or finish your day when works best for you- Work Abroad for up to 30 days each year - Share in our success with a choice to take equity options from day 1- Enhanced family leave policy and a workplace nursery scheme- 1 day per year to volunteer on a project that’s close to your heart 🌴 Time off- 25 days’ holiday + your birthday and bank holidays each year- Option to buy an extra 5 days’ holiday each year - Flexible bank holidays - trade a bank holiday for another day that fits your beliefs, values and celebration calendar 🌱 Health & Wellbeing- Health cash plan through Simplyhealth- Mental health support through Open Up, including access to online therapy sessions- Allies and champions groups- Mental Health First Aiders and awareness training for our managers - In person or virtual yoga every week- Cycle to work scheme- Electric car scheme- Our office kitchen is stocked with drinks and snacks to keep you going- Financial wellbeing support through Bippit- Workplace pension contributions 🌳 Growth & Development- A flexible training framework for every stage of your career development through our Bloom & Learn programme- Access to the Goodhabitz learning platform- Mentee and mentor opportunities with our external partners, such as The Women's Association and Future Founders- Internal & external Speaker Sessions on a variety of different inspirational topics 💐 Moments that matter- Social & wellbeing monthly calendar- Summer and End of Year events, team lunches and post-peak celebrations- Irresistible discounts on our products, blooms & subscriptions! SponsorshipWe're proud to hold an A-rated sponsor license, so we can assign certificates of sponsorship. This means we can support applications from anywhere as long as the job is deemed suitable under the points based system. 🫱‍🫲 Getting hired We’ll do everything we can to make sure your interview experience with us is a good one. It’s a 2-way process, and we’re keen to answer all of the questions you may have, so that you can be sure (and excited!) that we’ll be the right place for you. If your application is successful you can expect: • The majority of our A chat with Leroy, our Talent Consultant for Tech - to discuss our role and learn a bit more about your skills and background and how we might match your career & development goals.- An interview with Tonci, our Engineering Manager to get into more of the detail.- A chance to show us how you work through a technical challenge, which can be a live paired coding/whiteboard session.A final chat with our CPTO or VP of Engineering. We believe in leading change for good, so do let us know if there’s anything we can do to support your application process. Also, if you have any feedback, please help us to improve our candidate experience by sharing (anonymously) _.

Xperi invents, develops and delivers technologies that create extraordinary experiences at home and on the go for millions of people around the world. Powering consumer electronics, connected cars and digital content titles, we make entertainment more immersive, driving more intelligent and every interaction seamlessly personalized through our renowned consumer brands: DTS®, HD Radio™, and TiVo®. Xperi (NYSE: XPER) is a publicly traded technology company headquartered in San Jose, CA with approximately 2,000 employees across North America, Europe and Asia. Come join a thriving team where you can play an integral role in shaping the future of entertainment technology. Are you an Audio Developer? We need you to join our XPERI Global Audio Innovation Business to help us deliver our innovative audio applications and technologies on mobile, PC and consoles. The successful candidate will have the opportunity to work with an experienced and growing Scrum team, to design and build exciting new products and integrations. The role provides a unique opportunity for the right person to guide development efforts across audio platforms for products. Is this you: • Your passion is the code but you are always thinking about the final product; creating something easy to use and work with, • You’re an excellent C# and C++ developer with a good eye for UI/UX design, • You’re able to collaborate with a team but also comfortable as an individual contributor, • You’re a problem solver and can quickly find the key factors required to find a solution and overcome barriers, • You’re a planner—you know what you know, what you don’t and can adapt accordingly, • You’ve got your areas of expertise, but you know how to take on something new and adapt quickly, • You’re diligent—you know when to explore something further to get the answer to a question and make sure you complete everything to a high standard, • You lead by example—sharing your knowledge and learning from others, • You know how to share your understanding of technology with people who don’t have a detailed technical background A Day in XPERI as an Audio developer You will:, • work to develop, and improve, audio applications and technologies that enable extraordinary experiences for our customers, • work alongside our SDK team to integrate and deliver audio technologies to market, • work within an adaptive development culture based on innovation, teamwork, problem-solving and knowledge sharing, • work on a range of audio technologies and variety of platforms/architectures, • have the opportunity for personal growth as part of our organisational growth in our audio engineering team, • take high-level requirements/stories and break them down into manageable pieces of work Key Skills and strong experience of:, • C# 9 / .NET 8 (or later) in the development of WPF applications, • XAML, • Modern GUI libraries (e.g. Material Design, XAML Behaviors), • Software architecture (MVVM, Dependency Injection, Reactive Extensions), • Modern test frameworks, • Source control (Git), • Structured data (JSON, XML) Passion for:, • Audio engineering, • Developing software to a high-quality standard, • Knowledge and understanding of Agile/Scrum, • Exceptional communication skills, • Ability to work as a collaborative team member with remote colleagues Extras that may help:, • Windows App SDK and WinUI 3, • Knowledge of Windows Audio Architecture, • Knowledge of Jenkins and continuous integration, • Familiarity with scripting tasks in Unix Shell, Python etc., • Experience with API design, communication protocols (ZeroMQ), XML Schema Education and/or Experience:, • B.S. Degree in Computer Science or equivalent field of study required (equivalent work experience also acceptable); qualification level 2.1 or above in a relevant field, • Minimum 5 years working in computer software engineering Life @ Xperi: At Xperi, we value People, Customers, Performance and Innovation. We are dedicated to creating a workplace where all employees have a voice and sense of belonging, feel safe and valued, and are acknowledged for how their unique differences contribute to organizational culture and business outcomes. Our employees and their families are important to us, and our comprehensive pay, stock and benefits programs reflect that. Xperi supports personal well-being, builds financial security and enables employees to share in our collective success. Rewards include: • Competitive compensation and comprehensive benefits designed to foster work-life balance, care for your health, protect your finances and help you save and invest for the future, • Generous paid time away from work, including flexible time off, holidays and sick time, health and wellness initiatives, and a charitable match program to help you give back to your community., • Great perks, which vary by location and can be site-specific: employee discounts, transportation reimbursements, subsidized cafes and fitness facilities., • A flexible, hybrid work environment combining the best of in-office collaboration and community-building along with the benefits of working from home.

Kalibrate exists to deliver the right insight, at the right time, to give organizations answers to their most challenging questions. We’re partners in growth. We serve decision makers across location and fuel pricing in markets all over the world — from high growth emerging concepts to the most established international operators. Our platforms and analytics solutions directly empower decision-making and provide clear financial value. These decisions help grow economies, create jobs, and improve the communities where we live, work, and play. Role Reporting to the Director of Data Science Research, the Data Scientist is a highly skilled individual contributor responsible for designing, developing, and deploying advanced data science solutions across Kalibrate's product portfolio. This role focuses in particular on our pricing product suite, applying leading statistical, machine learning, and AI techniques to deliver innovative solutions for fuel pricing while contributing to the technical excellence of the Data Science Research team. Key responsibilities include: Data Science Solution Development & Delivery o Apply statistical and econometric modeling, time series analysis, optimization methods, and generative AI to develop improved approaches to demand modeling, elasticity estimation, price recommendation, competition analytics, and related challenges. o Develop reusable tools, frameworks, and components to support and accelerate delivery of value from data science. o Deploy scalable and maintainable solutions to cloud environments, leveraging version control practices and robust code quality and documentation standards. o Work independently and as part of the Data Science Research team, contributing to research prioritisation and technical direction in collaboration with the Director and Product leadership. Technical Excellence & Mentorship o Demonstrate technical excellence by delivering high-quality, innovative solutions and championing best practices to ensure research outputs are reproducible, scalable, and maintainable. o Contribute to evaluation and adoption of appropriate tools, programming languages, and technologies. o Mentor junior team members, sharing knowledge and supporting their professional development. o Identify and contribute to patent opportunities and the company's intellectual property portfolio. Collaboration & Communication o Collaborate across Development, Product, Analytics, and Commercial teams to ensure solutions address business challenges and stakeholder objectives. o Partner with operational teams to ensure data pipelines and infrastructure are robust, secure, and optimized for research and production workloads. o Communicate technical concepts and outcomes effectively to both technical and non-technical audiences. Innovation & Continuous Learning o Stay current with developments in data science, machine learning, and AI, applying state-of-the-art techniques to project work. o Develop comprehensive knowledge of the retail fuel industry to understand domain challenges and help guide product innovation. o Share knowledge and promote best practices across the team and company. Profile Qualifications & Profile o Ph.D. or master's degree in a quantitative discipline. o Demonstrated track record of designing, developing, and deploying data science and machine learning solutions in commercial environments. o Expertise in statistical or econometric modeling and optimization techniques. o Proven ability to independently manage complex projects under tight deadlines while maintaining high standards of quality and reliability. o Strong written and verbal communication skills for both technical and non-technical audiences. o Cross-functional team collaboration experience with product, engineering, and business stakeholders. o Experience in pricing data science is desirable, particularly within the fuel or retail sectors. Technical Skills & Experience o Advanced proficiency in Python and/or R for data science development. o Proficiency in SQL for data extraction, transformation, and analysis. o Experience with version control (Git) and modern software engineering practices including code review and collaborative development. o Familiarity with using generative AI tools such as Github Copilot to support development and enhance productivity. o Knowledge of solution deployment with cloud platforms (preferably Azure), including containerization (Docker) and CI/CD pipelines is desirable. Location & Travel This a remote role within the UK. Travel to our offices in Manchester city centre, or client and partner locations, may be required for meetings and events. The Data Science Research team operates across multiple time zones globally, so working hours may occasionally need to flex to accommodate necessary collaboration with international colleagues. Your application has been successfully submitted! _ We appreciate your interest in this position. Unfortunately, you have already applied for this job.

Principal responsibilities will involve: • Turn large quantities of complex client data into insights which can be used to inform decision making and drive business benefit, • Are quick to identify incomplete and diverse data sets, pin pointing data issues which may affect the accuracy and completeness of any analysis performed, • Recognise the importance and value of understanding the data they are analysing, validating the information provided and reconciling the data • sets as part of the Data Analytics Cycle, • Produce data visualisations, detailed reporting and analytics underpinned with clear business commentary, • Work closely with multi-disciplined teams to deliver end to end client solutions in a timely manner • Balance the technical and analytical demands of their role, • Are open minded and flexible with a thirst for knowledge and an appetite for continuous development What Success Looks Like in the Role • Clear, concise and insightful data analytics which enable our clients to make sound business decisions based on fact, • Ability to translate data analysis into targeted information which can be converted into actionable improvements, based on specific client / industry need, • Continued improvement of Sagacity’s Product Suite through the delivery of robust data insight, • Ability to take accountability and ownership for client and internal deliverables, • Work as part of a Data Analytics team proving knowledge transfer support, peer to peer reviews and mentoring as a team to increase the team’s skill sites and drive continuous learning Competencies and Behaviours • Proficiency in analytical programming language such as python and/or SQL, • Understanding of relational databases and concepts for querying data, • Proficiency in tools like Tableau, and/or Power BI, • Can balance time across multiple projects. Plans ahead working backwards from deadlines with all necessary steps e.g. testing, QA. Proactively identifies risk and suggests mitigation, • Is inquisitive, suggests 'next steps’ analysis and translates analytical findings to actionable insight, • Commercial experience within Telecoms, Banking or Utilities industries; or within a data related consultancy company would be beneficial, • Able to travel throughout the UK, • Can be based at our London Office (min 2 days per week on site), • Have the right to work in the UK

At Docker, we make app development easier so developers can focus on what matters. Our remote-first team spans the globe, united by a passion for innovation and great developer experiences. With over 20 million monthly users and 20 billion image pulls, Docker is the #1 tool for building, sharing, and running apps—trusted by startups and Fortune 100s alike. We’re growing fast and just getting started. Come join us for a whale of a ride! We are looking for a Principal Software Engineer (Docker Agents) to join Docker’s AI engineering team to build the future of containerized AI agents. Docker containers are the perfect vehicle to host and run AI agents—providing isolation, portability, and reproducibility. You’ll be working on cagent, our open-source project (_), and expanding on it to enable developers to build, deploy, and scale intelligent agents using Docker’s container technology. This is a greenfield opportunity to shape how developers leverage containers for AI agents at massive scale. You’ll define the technical vision, lead architecture decisions, and partner with engineers and leaders across Docker to bring containerized agent capabilities into Docker’s developer experience. Technical Leadership & Architecture: Define and drive the long-term technical strategy for Docker’s containerized agent platform, including core primitives, APIs, and extensibility patterns Build Containerized Agent Systems: Design and implement systems that leverage Docker containers as the ideal runtime for AI agents, ensuring isolation, scalability, and portability Expand cagent: Maintain and evolve the open-source cagent project, adding new capabilities for containerized agent deployment, orchestration, and lifecycle management Agent Runtime Development: Build robust infrastructure for packaging, deploying, and managing agents in containers across local and cloud environments Evaluation & Testing: Define evaluation frameworks to measure agent quality, reliability, and production readiness; plus the deployment effectiveness of containerized runtimes Reliability & Operability: Establish standards for observability, performance, and operational excellence; lead critical production decision-making and incident learnings as needed Rapid Prototyping: Iterate quickly on new agent capabilities and deployment patterns, moving from concept to production efficiently Open Source Community: Engage with the cagent community, review contributions, and help grow the ecosystem Cross-functional Collaboration: Lead cross-functional technical discussions and influence architectural decisions across Docker’s AI initiatives (including sister teams and platform efforts) Mentorship & Enablement: Mentor senior engineers, raise the bar through design reviews, and accelerate team execution through clear technical direction and coaching 10+ years of software engineering experience, including 3+ years in technical leadership roles (Staff/Principal level or equivalent scope) Go Expertise: Strong proficiency in Go (this is absolutely required) - Docker’s primary language for backend systems AI/ML Knowledge: Practical experience with large language models (LLMs) and agent development patterns System Architecture: Proven ability to design scalable, distributed systems in production environments Container Technology: Deep understanding of Docker, containerization best practices, and container orchestration Cloud/Platform Depth: Experience building and operating platform services with strong foundations in observability, CI/CD, and security principles Operational Excellence: Experience operating and evolving high-availability production systems with a focus on reliability and performance Influence & Communication: Exceptional communication skills and ability to influence across technical and business domains AI Frameworks: Experience with CrewAI, AGNO, ADK, LangChain/LangGraph or similar AI orchestration frameworks (preferred) Python Proficiency: Experience with Python for AI prototyping and tooling (preferred) Experience with Kubernetes or container orchestration platforms (preferred) Open source contributions and community engagement (preferred) Experience with agent evaluation, reliability, and observability techniques (preferred) Integrate into our AI engineering team building containerized agent infrastructure Deep dive into cagent’s architecture, project roadmap, and the developer problems we’re solving Identify the highest-leverage architectural and execution risks/opportunities; align with stakeholders on priorities Contribute initial improvements to cagent and the containerized agent runtime foundations Lead significant platform features or architectural improvements to cagent and our containerized agent ecosystem Establish (or materially improve) technical standards for evaluation, reliability, and operability of agent systems Drive alignment across internal teams on APIs, integration points, and a cohesive developer experience Mentor engineers through design reviews and help accelerate onboarding and execution Drive major architectural decisions for our containerized agent platform that will impact millions of Docker users Shape the long-term technical vision and execution plan for Docker’s agent ecosystem (open-source and product surfaces) Establish repeatable engineering practices for quality, performance, and operational excellence in agent systems Lead initiatives to expand containerized agent capabilities for enterprise use cases and broader platform integrations Grow the team’s technical capabilities through mentorship, strategy, and pragmatic delivery Docker does not offer visa sponsorship for this role. We use Covey as part of our hiring and / or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications. We began using _ on April 13, 2024. Please see the independent bias audit report covering our use of Covey _. Perks Freedom & flexibility; fit your work around your life Designated quarterly Whaleness Days plus end of year Whaleness break Home office setup; we want you comfortable while you work 16 weeks of paid Parental leave Technology stipend equivalent to $100 net/month PTO plan that encourages you to take time to do the things you enjoy Training stipend for conferences, courses and classes Equity; we are a growing start-up and want all employees to have a share in the success of the company Docker Swag Medical benefits, retirement and holidays vary by country Remote-first culture, with offices in Seattle and Paris Docker embraces diversity and equal opportunity. We are committed to building a team that represents a variety of backgrounds, perspectives, and skills. The more inclusive we are, the better our company will be. #LI-REMOTE

WHO WE ARE Come join the company reinventing data security, empowering businesses to realize the full potential of their data. As the leading data security platform purpose-built for the cloud era, Cyera’s mission is to reinvent how businesses secure data, enable agile collaboration, and boldly pursue new business opportunities. Trusted by security teams at leading global businesses, our team is proving that data security is the next big thing in cyber. Backed by the world’s leading investors and working with a large and growing list of Fortune 1000 companies, we are looking for world-class talent to join us as we usher in the new era of data security. THE OPPORTUNITY We are searching for a highly skilled Customer Success Engineer to play a key role in optimizing our customers' utilization and return on investment in Cyera. This position offers an exciting chance to join a thriving organization and contribute to the forefront of data security, making a significant impact on the protection of data for numerous global enterprises. As part of this role, you can expect to travel between 25-50% annually, enabling you to engage directly with clients and enhance their overall experience. RESPONSIBILITIES As a Customer Success Engineer, you will play a crucial role in ensuring customer satisfaction and success by: • Serving as the primary technical expert on the Cyera Platform, demonstrating in-depth knowledge and expertise., • Establishing yourself as a trusted advisor to customers at all levels, from practitioners to executives., • Driving customer adoption through effective onboarding and training processes., • Gaining a deep understanding of customers' requirements, challenges, and desired business outcomes, and then designing and delivering customized use cases that align with their goals using a consultative approach., • Proactively ensuring that customers are realizing the full value of their investment and maximizing their return on investment by consistently driving sustained adoption of Cyera's platform. You will act as the leader for ongoing engagement and expansion, helping customers achieve their business and technology objectives., • Proactively identifying and resolving any obstacles or blockers that may impede customer success, collaborating with peers to address them promptly., • Advocating for the customer's voice and feedback, actively influencing Cyera's roadmap and product development., • Utilizing self-paced training resources to support customer education and promote knowledge growth throughout their journey., • Troubleshooting and resolving technical issues impacting customers, ensuring smooth operation and seamless experiences., • Monitoring and reporting on the overall well-being of customers, tracking key health and usage indicators., • Collaborating with customers to develop joint success plans., • Documenting and sharing best practices both internally and externally to foster knowledge sharing and continuous improvement., • Mentoring other team members, sharing your expertise and assisting in their professional development., • Participating in the interview process to help identify and onboard talented individuals to the team., • Conducting Quarterly Business Reviews with customers, evaluating progress, and identifying areas for further improvement and collaboration. REQUIRED QUALIFICATIONS: • Associates degree or equivalent experience required. Bachelor’s degree in Computer Science or similar experience a plus, • 12 years experience in Strong project management skills, enabling you to effectively plan, organize, and execute multiple projects simultaneously while maintaining a strong attention to detail, • A self-starter who thrives in an ambiguous, fast-paced, and deadline-oriented startup environment., • A results-oriented mindset, with a proven track record of driving revenue growth, ensuring customer satisfaction, promoting feature adoption, and maximizing customer retention., • Prior experience collaborating with Development teams., • Proficiency in SQL, scripting languages (e.g., Python or equivalent), and hands-on experience with cloud environments., • 3+ years of hands-on experience with data technologies and cloud technologies, including databases, cloud infrastructure and basic administration (e.g., cloud networking, data and compute assets, IAM and permissions, etc,), • Experience with programming or scripting languages and familiarity with APIs and web services, • Demonstrated expertise in DLP (Data Loss Prevention), Data Privacy/Protection, DSPM/CSPM (Cloud Security Posture Management), SIEM (Security Information and Event Management), or vulnerability management with hands-on experience preferred., • Prior experience working in a software company in a technical customer-facing role is essential., • Demonstrated track record of owning customer relationships, including onboarding, renewal, and expansion., • A self-motivated, proactive, and innovative team player who consistently strives to inspire customer loyalty., • Excellent interpersonal and customer relations skills, particularly when it comes to building and nurturing strategic relationships., • A clear and concise verbal and written communicator, capable of conveying complex information effectively., • Proficiency in leading both executive meetings and technical workshops, demonstrating confidence and expertise., • Ability to work autonomously, tackling even the most intricate challenges, and successfully completing tasks that may lack comprehensive documentation. They will actively participate in projects aligned with their current skill set, seeking assistance primarily for more complex initiatives or issues. COMPENSATION INFORMATION: The range represents total compensation, and may include company bonus, incentive for sales roles, equity or benefits, as applicable. This compensation range represents Cyera’s good faith and reasonable estimate of the range of possible compensation for this role at the time of posting, and Cyera may ultimately pay more or less than the posted range. The final salary for this position will be determined in Cyera’s sole discretion, consistent with applicable law, and based on a variety of factors, including but not limited to the employee’s work experience, skills, and qualifications for the role, as well as the needs of Cyera’s business and other operational considerations. Final compensation will vary based on seniority and relevance of experience, location, and position requirements. This role may be eligible for potential merit increases based on factors such as individual or company performance, time in role, and other discretionary factors. BENEFITS - Why Cyera? • Ability to work remotely, with office setup reimbursement, • Competitive salary, • Paid holidays and sick time, • Health, vision, and dental insurance

Location: UK (Remote) Department: Engineering Hours: Full-time Everything we do is to empower our clients to move forward. Our purpose is to help our clients develop the capabilities they need to outperform their competitors. Our success is a consequence of ensuring our clients are successful. Our company is built on extraordinary people; we aim to attract, inspire, develop and retain them. YLD is a software engineering and design consultancy; we create digital capabilities for our clients that last beyond our engagement. We have offices in London, Lisbon, Porto. As a Data Engineer in this role, you will be responsible for building core infrastructure software (pipelines, APIs, data modelling) as part of our client's data platform team. Your work will include instrumenting systems for performance, and enhancement throughout. You will work on ensuring these data offerings are to various internal & external stakeholders using secure authentication patterns. Your role will include choosing and implementing the appropriate technologies for scaling data access patterns, batch processing, and data streaming for soft real-time consumption while considering the unique domain knowledge of the client's business. As a senior collaborator on the team, you will coach & mentor other engineers to support the growth of their technical expertise. • Proven experience writing highly maintainable, performant Python and JavaScript code;, • Experience building modern data pipelines using dbt, Kafka, Spark, AWS Kinesis, AWS Lambda, and Apache Airflow (or similar);, • Understanding of Data Modelling patterns;, • Deep knowledge of complex SQL, with emphasis on Common Table Expressions, window functions, and their performance;, • Experience with end-to-end monitoring & alerting experience (CloudWatch, Datadog, etc.)., • Problem-solving skills that balance innovation with pragmatic technology choices to solve business needs;, • Comfortable working in a dynamic production environment and taking care of client expectations effectively;, • Distinct customer focus and quality mindset;, • Experience working closely with engineering leadership and architects to deliver high-quality solutions;, • Experience maintaining a high degree of ownership and transparency in deliverables;, • An exemplar of YLD’s brand and safe-guarder of our reputation;, • Exceptional communication skills, able to communicate complex ideas simply. As well as the chance to work with a forward-thinking, ethical, and fun group of people, you’ll also get: • Company Private Health care (currently provided by BUPA), • Enhanced fully paid maternity and paternity leave for up to 6 months, • Company’s Pension Scheme, • 25 days annual holiday (excluding Public Holidays), • £2000 annual allowance for Training/Conferences, • £300 annual allowance for additional hardware, • Mental Health support: access to Spill app, • Meditation/Sleep support: Headspace or Calm app subscription, • Bonus (depending on Company performance and results), • Company laptop, • Generous referral schemes Our typical Recruitment Process looks like this: • 1st Interview with someone from the Talent team (30/45 mins), • Technical Interview with our Senior Developers (1h30) We live and breathe our values, and know you will too: • Growing every day, • Including everyone, • Relationships built on honesty and ethics, • Inspiring solutions, • Winning together We’re an equal-opportunity employer and value diversity of all kinds. We don’t discriminate based on race, religion, colour, national origin, gender, sexual orientation, pregnancy or maternity, age, marital status, or disability status. Likewise, we also offer a remote-first working environment, meaning that flexible working and work-life balance come as standard for all employees.

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

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

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.

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

Senior DevOps Engineer - AWS (SC Cleared) Location: Remote Work Pattern: Full time permanent or contract Security Clearance: Must hold active SC Clearance The Company: At Amber Labs, we are a cutting-edge UK and European technology consultancy that prioritises empowering autonomy, promoting experimentation, and facilitating rapid learning to provide exceptional value to our clients. Our company culture is centred around collaboration, where all colleagues, regardless of their role, work together to minimise risk and shorten delivery times. Our team consists of highly-skilled cross-functional consultants, analysts, and support staff. About the Role: We are looking for an experienced AWS DevOps Engineer to join our team. The ideal candidate will be responsible for the automation, deployment, scaling, and management of cloud-based applications and infrastructure on AWS. You will work closely with development, QA, and IT teams to ensure smooth and reliable operation of software and systems. Key focus areas include AWS cloud services, Kubernetes orchestration, Helm for managing Kubernetes applications, Docker, GitLab CI/CD, and API Gateways. Roles and Responsibilities: • Design, implement, and manage highly available, scalable, and secure infrastructure on AWS. Utilise services such as EC2, S3, RDS, Lambda, and CloudFormation to automate deployment and scaling of cloud-based applications., • Manage Kubernetes clusters across multiple environments. Automate the deployment, scaling, and management of containerised applications using Kubernetes, ensuring optimal performance and availability., • Use Helm to package and deploy Kubernetes applications. Create and manage Helm charts for deploying microservices, ensuring version control, rollback capabilities, and configuration management., • Build, deploy, and manage Docker containers for application development, testing, and deployment. Ensure seamless integration of Docker containers within Kubernetes environments., • Set up, configure, and manage AWS API Gateway to expose and manage APIs. Work with the development teams to ensure secure and optimised communication between microservices and external systems., • Develop and maintain CI/CD pipelines using GitLab to ensure continuous integration, delivery, and deployment of applications. Collaborate with the development team to optimise pipeline efficiency and ensure code quality., • Implement monitoring solutions using AWS CloudWatch, Prometheus, Grafana, or similar tools to ensure visibility into application performance, health, and security. Troubleshoot production issues and provide resolution., • Ensure the security of cloud infrastructure by implementing best practices like IAM roles and policies, encryption, and regular security assessments. Maintain compliance with relevant regulations and standards., • Work closely with software developers, QA engineers, and IT teams to define infrastructure needs and support software releases. Maintain clear documentation for infrastructure, processes, and procedures. Required Skills & Qualifications: AWS Expertise: • Strong hands-on experience with AWS cloud services (EC2, S3, RDS, Lambda, VPC, IAM, CloudFormation, etc.). AWS certifications are a plus. Kubernetes Experience: • Proficient in managing Kubernetes clusters and deploying containerised applications using Docker and Kubernetes. Experience with multi-cluster environments and Kubernetes troubleshooting. Helm Proficiency: • Strong knowledge of Helm for packaging and deploying Kubernetes applications. Ability to manage complex Helm charts for microservices architecture. Docker Experience: • Hands-on experience with Docker for building, managing, and deploying containers. Knowledge of Docker Compose and container orchestration within Kubernetes environments. GitLab CI/CD: • Experience with building and managing CI/CD pipelines using GitLab. Strong understanding of continuous integration and delivery processes, including automated testing, code linting, and security checks. API Gateways: • Hands-on experience configuring and managing API Gateways, particularly AWS API Gateway. Familiarity with API security, throttling, and monitoring. Automation & Scripting: • Proficiency in scripting languages such as Python, Bash, or PowerShell. Experience automating infrastructure tasks using Infrastructure as Code (IaC) tools like Terraform or AWS CloudFormation. Monitoring & Logging Tools: • Experience with monitoring and logging tools such as AWS CloudWatch, Prometheus, Grafana, ELK Stack (Elasticsearch, Logstash, Kibana). Benefits: • Join a rapidly expanding start-up where personal growth is a part of our DNA., • Benefit from a flexible work environment focused on deliverable outcomes., • Receive private medical insurance through Aviva., • Enjoy the benefits of a company pension plan through Nest., • 25 days of annual leave plus UK bank holidays., • Access Perkbox, a global employee rewards platform offering discounts, perks, and wellness resources., • Participate in a generous employee referral program., • A highly collaborative and collegial environment with opportunities for career advancement., • Be encouraged to take bold steps and embrace a mindset of experimentation., • Choose your preferred device, PC or Mac. Diversity & Inclusion: Here at Amber Labs, we are dedicated to fostering an inclusive and equitable workplace for all. Our commitment to diversity, equality, and inclusion includes: • Valuing the unique experiences, perspectives, and backgrounds of all employees and creating an environment where everyone feels welcomed, respected, and valued., • Prohibiting all forms of harassment, bullying, discrimination, and victimisation and promoting a culture of dignity and respect for all., • Educating all new hires on our Diversity and Inclusion policies and ensuring they are aware of their rights and responsibilities to create a safe and inclusive workplace. By taking these steps, we are dedicated to building a workplace that reflects and celebrates the diversity of our employees and communities. What Happens Next? Our Talent Acquisition Team will be in touch to advise you on the next steps. We have a two-stage interview process for most of our consultants. In certain cases, we may include a third and final stage, which is a conversation with the company Partners. This will only be considered if deemed necessary.