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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.

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

Junior AI Developer Programme – Job Support Included Complete online training designed to help you enter junior AI and developer roles. Study part-time, build coding and AI fundamentals, and receive structured job support to help you secure your first role. The Programme This 10–14 week online programme covers Python programming, AI fundamentals, machine learning basics, and applied development projects. Tutor support is provided throughout, alongside portfolio-building and job readiness support. The Outcome Junior AI Developer and entry-level AI roles. Starting salaries: £30,000 – £40,000 Who This Is For Ideal for beginners and career changers with an interest in coding and AI. UK learners only. Apply now. Limited availability.

Are you an engineer who enjoys building reliable systems and intuitive user experiences? Join Spotify’s Commerce Platform and help shape the Checkout experience for millions of users worldwide. You’ll contribute across the stack, grow your technical depth, and work on systems that directly support how users manage their relationship with Spotify. You’ll be part of the Checkout Domain, where we build and scale the purchase experience, from the moment a user selects an offer to what happens after they complete a transaction. Our teams work on services and surfaces that support billing, account updates, and post-purchase interactions that focus on building trust and retention. The work spans APIs, backend services, and user-facing components across web and mobile. This is a great opportunity to join a collaborative, product-focused team working in a space with real user impact and cross-functional reach. • Design, build and maintain scalable backend services (Java/Python) and be active in shaping our data pipelines that power Spotify’s internal Commerce platform, • Develop and enhance our user-facing layer and frontend SDKs (React/Typescript), • Be an active part of creating and evolving APIs and services that connect user experiences with internal Commerce capabilities, taking into account Product requirements, • Drive improvements to system architecture, performance, and developer experience, • Collaborate closely with a talented group of engineers, product managers, designers and data specialists across multiple teams, • Contribute to technical discussions and help shape platform decisions, • You have experience building and maintaining backend services (Java and/or Python) in large-scale, modern cloud environments (we use GCP), • You’re confident working across the stack, from building scalable APIs to developing intuitive, high-performing, modern frontend applications (React/TypeScript preferred), • You have experience in system design and service-to-service integration, • You bring an open and pragmatic mindset to solving complex problems, while actively connecting the dots across technical, product, and business to inform your approach, • You care about code quality, testability, and developer experience, • You communicate clearly, take initiative on projects and collaborate effectively in cross-functional settings, • Having experience in commerce or payments systems is a plus, • This role is based in London (UK), • 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, • We ask that you come in three times per weekSpotify 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.

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.

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

Veeva Systems is a mission-driven organization and pioneer in industry cloud, helping life sciences companies bring therapies to patients faster. As one of the fastest-growing SaaS companies in history, we surpassed $2B in revenue in our last fiscal year with extensive growth potential ahead. At the heart of Veeva are our values: Do the Right Thing, Customer Success, Employee Success, and Speed. We're not just any public company – we made history in 2021 by becoming a _ (PBC), legally bound to balancing the interests of customers, employees, society, and investors. As a _ company, we support your flexibility to work from home or in the office, so you can thrive in your ideal environment. Join us in _, committed to making a positive impact on its customers, employees, and communities. The Role Are you excited about Search, NLP, ML, Vector Databases? Do you like solving complex problems and making software products that scale? This is your opportunity to develop intuitive new services within an established company that is rapidly growing. The Veeva Link team seeks a Senior Search Developer who will participate in all aspects of autonomously architecting and developing new search products at a global scale. \n What You'll Do • Build scalable web services to orchestrate and surface underlying Search and ML models, • Mine usage data to power features and guide development, • Participate in the technical planning, user story/technical acceptance creation, and implementation, • Plan technical architectures that minimize or eliminate performance problems, complexity, or solution fragility, • Work independently and mentor more junior team members, • Identify and solve complex problems Requirements • 7+ years of professional experience building scalable and reliable search applications, • Expert-level Python, • Knowledge of Search and Clickstream analytics, • Ability to mentor and share knowledge with team members, • Independent, self-managed, and motivated, • Good command of the English language Nice to Have • Additional technical experience with any of the following is a plus: Elasticsearch, Vector Search, Recommendation Engines, Redis, Notification Services, AWS (or any other Cloud provider), • Bachelor’s degree or higher in Computer Science, Engineering, or Information Systems \n #RemoteUK Veeva’s headquarters is located in the San Francisco Bay Area with offices in more than 15 countries around the world. As an equal opportunity employer, Veeva is committed to fostering a culture of inclusion and growing a diverse workforce. Diversity makes us stronger. It comes in many forms. Gender, race, ethnicity, religion, politics, sexual orientation, age, disability and life experience shape us all into unique individuals. We value people for the individuals they are and the contributions they can bring to our teams. If you need assistance or accommodation due to a disability or special need when applying for a role or in our recruitment process, please contact us at _.

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.We believe in using the power of collective intelligence to ethically shape the futur

Dataiku is The Universal AI Platform™, giving organizations control over their AI talent, processes, and technologies to unleash the creation of analytics, models, and agents. Providing no-, low-, and full-code capabilities, Dataiku meets teams where they are today, allowing them to begin building with AI using their existing skills and knowledge. Why Engineering at Dataiku? Dataiku’s on-premise, cloud, or SaaS-deployed platform connects many data science technologies, and our technology stack reflects our commitment to quality and innovation. We integrate the best of data and AI tech, selecting tools that truly enhance our product. From the latest LLMs to our dedication to open source communities, you'll work with a dynamic range of technologies and contribute to the collective knowledge of global tech innovators. You can find out even more about working in Engineering at Dataiku by taking a look_. Here are some useful links so you preview what we do at Dataiku: ; , you can also take a look at the _, a public instance showcasing some example projects (note editing is very limited and will be regularly reset). Our product is called Dataiku DSS which stands for Dataiku Data Science Studio. If you’d like to know more about it, you can watch the demo or try the free version . How you’ll make an impact This position is either onsite/hybrid from our London office or full remote from any part of the UK. As a Fullstack Engineer, you’ll contribute to building Dataiku DSS core features by joining one of the following themes: • Data Preparation: Develop tools for data integration, transformation, and cataloging, as well as Jupyter notebooks, SQL workbenches, and APIs., • Add new capabilities for data integration, transformation, and visualization using LLMs, • Optimize workflows for large-scale datasets and improve database support, • Strengthen developer tools like Jupyter notebooks and SQL workbenches, • Tech stack: Java, Python, AngularJS, Angular, • Data Visualization: elevate our data visualization capabilities with high-performance charting tools and dashboards., • Develop new chart types and optimize visualization performance, • Enhance dash boarding capabilities to deliver fast and flexible experiences, • Tech stack: React, AngularJS, Angular, D3.js, ECharts, Node.js, Java, Spring, • AI & Machine Learning: Collaborate on next-gen AI features, from statistics and time series forecasting to LLM inference., • Build next-generation features like cross-provider LLM APIs or integration with the latest Machine Learning models, • Collaborate with research teams on innovative machine learning experiments, • Tech stack: Python, scikit-learn, TensorFlow, PyTorch, Java, Angular, AngularJS, • MLOps: Develop back-end capabilities for automating and monitoring ML model lifecycles while supporting cross-functional collaboration., • Build tools to automate retraining, monitoring, and deployment of ML models, • Enhance collaboration features for ML stakeholders, • Tech stack: Python, Java, Angular, Angular.JS, Kubernetes, Docker, • Platform: Focus on scaling and securing the platform while improving cloud integrations and supporting a wide array of data sources and engines., • Optimize processing engines for scalability and latency, • Expand capabilities to support new databases and cloud platforms, • Tech stack: Java, Python, Angular, Kubernetes, Spark, AWS, Azure, GCP, • AI Governance: Build features for AI compliance, connecting disparate systems and simplifying governance processes., • Develop customizable platforms for managing AI compliance and governance, • Simplify policy enforcement and integration across disparate systems, • Tech stack: Java, Angular, PostgreSQL What you need to be successful • We’re stack agnostic, so all you need is a significant experience in software engineering, building a real product, • We’re hiring at all levels (junior, mid, senior), • A passion for combining backend performance with exceptional frontend user experience., • You want to work in a fast-paced, high-growth environment that values diversity of talent, excellence of product, and exciting engineering challenges at scale What does the hiring process look like? • Initial call with a member of our Technical Recruiting team (45min), • Video call with an Engineering Team Lead (1h30), • Technical Assessment to show your skills (Home Test or Live Coding), • Final Interviews with our VPs of Engineering (2h) #LI-Remote What are you waiting for! At Dataiku, you'll be part of a journey to shape the ever-evolving world of AI. We're not just building a product; we're crafting the future of AI. If you're ready to make a significant impact in a company that values innovation, collaboration, and your personal growth, we can't wait to welcome you to Dataiku! And if you’d like to learn even more about working here, you can visit our _. Our practices are rooted in the idea that everyone should be treated with dignity, decency and fairness. Dataiku also believes that a diverse identity is a source of strength and allows us to optimize across the many dimensions that are needed for our success. Therefore, we are proud to be an equal opportunity employer. All employment practices are based on business needs, without regard to race, ethnicity, gender identity or expression, sexual orientation, religion, age, neurodiversity, disability status, citizenship, veteran status or any other aspect which makes an individual unique or protected by laws and regulations in the locations where we operate. This applies to all policies and procedures related to recruitment and hiring, compensation, benefits, performance, promotion and termination and all other conditions and terms of employment. If you need assistance or an accommodation, please contact us at: _ Protect yourself from fraudulent recruitment activity Dataiku will never ask you for payment of any type during the interview or hiring process. Other than our video-conference application, Zoom, we will also never ask you to make purchases or download third-party applications during the process. If you experience something out of the ordinary or suspect fraudulent activity, please review our page on identifying and reporting fraudulent activity _

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

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

Data and AI Engineer - Remote Remote, with occasional travel to client sites Profectus Recruitment are proud to be partnered with a fast-growing and forward-thinking start-up that is harnessing the power of data and artificial intelligence to deliver transformational impact to business owners and investors alike. This is an exceptional opportunity to join a business that is already making waves across multiple industries, delivering cutting-edge AI-driven solutions tailored to real-world problems. Our client is on the lookout for a Data and AI Engineer who is not only technically excellent but also thrives in client-facing environments. This is a remote role with the flexibility to manage your own time, although you’ll occasionally travel to meet clients and deliver solutions face-to-face. You’ll work closely with the Director of Products to design and implement scalable, production-ready AI systems that directly shape strategic decision-making for clients. What we’re looking for: We are keen to hear from individuals who demonstrate a balance of technical strength, curiosity, and entrepreneurial spirit. This role would suit someone who wants to take ownership of their work, enjoys solving complex challenges, and can build strong relationships with clients. Key Attributes: • Excellent stakeholder management skills, with a proven ability to build trust and communicate clearly, • Confident presenting technical solutions to clients through demos and workshops, • Naturally curious and highly motivated to explore innovative problem-solving, • Demonstrates initiative and a proactive, ownership-driven mindset Technical Experience:, • Proven experience designing and maintaining secure, scalable applications using AWS, GCP, or Azure, • Skilled in Python and SQL, with a passion for turning data into insights, • Experience building and deploying CI/CD pipelines, • Solid background in data modelling and data transformation for analytics and AI, • Hands-on experience working with or applying Large Language Models (LLMs) to real-world use cases, • Collaborative, client-focused approach to delivering tailored technical solutions Qualifications & Experience:, • A degree (BSc or MSc) in Computer Science, Data Science, Engineering, or a related field, • Minimum of 2 years in a similar role with demonstrable project delivery experience Please note if you aren’t willing to travel semi-regularly within the UK to meet with clients and / or aren’t looking for this client facing aspect of the role then please do not apply.

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

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

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

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 _.

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

In this decade, the world will create Artificial General Intelligence. There will only be a small number of companies who will achieve this. Their ability to stack advantages and pull ahead will define the winners. These companies will move faster than anyone else. They will attract the world's most capable talent. They will be on the forefront of applied research, engineering, infrastructure and deployment at scale. They will continue to scale their training to larger & more capable models. They will be given the right to raise large amounts of capital along their journey to enable this. They will create powerful economic engines. They will obsess over the success of their users and customers. Poolside exists to be this company: to build a world where AI will be the engine behind economically valuable work and scientific progress. We believe the fastest way to reach AGI lies in accelerating software development itself, by reshaping the developer experience with agentic systems, coding assistants, and the frontier models that power them. We deploy these systems directly into the development environments of security-conscious enterprises. We were founded in the US and have our home there, but our team is distributed across Europe and North America. We get our fix of in-person collaboration (and croissants) in Paris each month for 3 days, always Monday-Wednesday, with an open invitation to stay the whole week. We also do longer off-sites once a year. Our team is a multidisciplinary blend of research, engineering, and business experts. What unites us is our deep care for what we build together. We’re in a race that requires hard work, intellectual curiosity, and obsession; to balance this intensity, we’ve assembled a team of low ego and kind-hearted individuals who have built the special culture Poolside has. By building collaboratively and with intention, we create a compounding effect that moves the entire company forward towards our mission: reaching AGI through intelligence systems built for software development. You'll be working alongside our pre-training data team, focused on one of the most foundational challenges in training frontier LLMs: acquiring the best possible pre-training data. The data we collect is upstream of everything. It directly shapes the capability of the models we train. As our first dedicated data acquisition engineer, you will spearhead and evolve systems that crawl the web at massive scale, rapidly ingest data from strategic partnerships, and build specialized tooling to maximize recall from high-value sources. You'll collaborate closely with pre-training data researchers and engineers to ensure that our sourcing of data maps to our training needs, to ensure we have the most capable pre-trained models. To deliver the highest-quality, diverse, and most comprehensive data corpus to fuel the pre-training of frontier models for software development. Design, build, and operate a large-scale web crawler responsible for acquiring all openly accessible data on the internet Develop specialized deep crawlers targeting high-value sources to improve recall and coverage In collaboration with data researchers, own a long-term road map for data acquisition Build observability, monitoring, and debugging tooling to ensure reliability and transparency across crawl infrastructure Collaborate with pre-training, post-training, and evaluations teams to align data acquisition priorities with model training needs Build high-throughput ingestion pipelines for rapidly onboarding partner data and evaluating it for quality Strong distributed systems background with proven experience building and operating large-scale infrastructure — data pipelines, web crawlers, or similar Proficiency in Python, and comfortable optimizing performance and debugging complex systems under production conditions Hands-on experience with web crawling or large-scale data extraction: understanding of HTTP protocols, distributed job queues, and data parsing at scale Familiarity with cloud platforms (AWS) and container orchestration (Kubernetes, Docker) for deploying and managing high-throughput workloads Awareness of the non-technical dimensions of internet-scale crawling: data privacy, robots.txt adherence, and responsible crawl practices Nice to have: Prior experience pre-training LLMs Experience in building trillion-scale SOTA pre-training datasets Experience translating research to production at scale Intro call with one of our Founding Engineers Technical Interview(s) with one of our Members of Engineering Team fit call with the People team Final interview with one of our Founding Engineers Fully remote work & flexible hours 37 days/year of vacation & holidays 16 weeks of flexible, full-pay parental leave Health insurance allowance for you & dependents Company-provided equipment Well-being, always-be-learning & home office allowances Frequent team get togethers Diverse & inclusive people-first culture

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 _

Attio is the CRM built for the AI era. Designed for the most ambitious go-to-market teams, it gives companies the power to understand every customer, automate at scale, and build their go-to-market motion exactly as they need. We've raised $116M from some of the world's best investors: GV (Google Ventures), Redpoint, Balderton, Point Nine, and 01A. We hire builders who thrive on complex technical challenges, hold themselves to a high bar, and genuinely care about delighting the people who use what they build. The team here brings sharp judgement, real craft, and the drive to do exceptional work. We're obsessed about the details and energized by the frontier. If you want to do the best work of your career, this is the right place. Our Engineering team tackles the toughest challenges, so our users never have to. Real-time infrastructure, AI-native architecture, and a frontend that feels effortless — all powered by a team that moves fast, thinks rigorously, and holds an exceptionally high bar for quality. We’re hiring Attio’s first dedicated Data Engineering Lead to build the infrastructure, pipelines and standards that enable the company to operate on reliable, trusted data at scale. As our inaugural Lead Data Engineer, you’ll own and evolve our internal data platform end-to-end — improving reliability, enabling better decision-making, and shaping the long-term foundations of data across the business. Your work will directly support teams across Product, Engineering, Marketing, Finance and Go-To-Market. We see this as far more than a traditional Data Engineering role. It’s an opportunity to define and shape Attio’s future data capability from the ground up — operating as a highly hands-on senior IC initially, whilst helping establish the foundations, standards and strategic roadmap for how the broader data function evolves over time. The role is ideally suited to someone who enjoys bringing structure to ambiguity, solving complex infrastructure challenges, and working closely with the business in a fast-moving, product-led environment. We’re looking for someone who is equally comfortable being hands-on and building, whilst also thinking strategically about how scalable data systems, processes and teams should evolve over time. Build and stabilise core data infrastructure: Design, build and maintain reliable, scalable pipelines and systems that ensure data flows correctly across the business and support critical operational and reporting workflows. Improve data reliability and observability: Own and improve the quality, resilience and maintainability of Attio’s broader data infrastructure — helping reduce operational risk and improve trust in the data underpinning the business. Shape Attio’s future data architecture: Partner closely with Product, Engineering and business stakeholders to define how our data platform should evolve over time, balancing immediate business needs with long-term scalability. Enable better business decision-making: Help create the foundational datasets, transformations and infrastructure required to support experimentation, analytics and operational reporting across the company. Operate as a senior technical leader: Bring clarity and direction within ambiguity — taking loosely defined problems, creating clear plans of execution, and driving outcomes with a high degree of ownership and autonomy. Help build the future data function: Contribute toward defining best practices, technical standards and longer-term hiring plans as Attio’s data capability matures and scales over time. Strong Data Engineering foundations: Deep hands-on experience designing and maintaining modern data infrastructure, pipelines and transformation layers within cloud-native environments. Technical depth across modern data tooling: Strong hands-on Data Engineering capability across modern tooling such as BigQuery, DBT, SQL and Python (or equivalent ecosystems e.g. Snowflake). Startup or scale-up experience: You’ve operated within fast-moving product or engineering-led environments and understand how to balance speed, ambiguity and long-term technical quality. Translation across abstraction levels: Able to move fluently between ambiguous business problems and precise technical implementation by translating effectively in both directions. Quantitative reasoning: Able to translate ambiguous business concepts (e.g. “activated workspace” or “qualified lead”) into clear, measurable and defensible definitions, with strong judgement around whether resulting outputs represent meaningful signal or simply noise. High ownership and autonomy: Comfortable operating as a senior IC with minimal direction. You have experience being responsible for problems end-to-end and driving them through to resolution. Pragmatic technical leadership: You’re able to bring structure and prioritisation to unclear problem spaces, communicate effectively with both technical and non-technical stakeholders, and influence decisions across the business. Commercial and operational awareness: You understand that data infrastructure is not just an engineering problem: it directly impacts product velocity, reporting accuracy, experimentation capability and commercial performance. Bias for action: You move with urgency, enjoy solving difficult problems, and are equally comfortable operating strategically as you are rolling up your sleeves and building directly. UK benefits Competitive salary of £115,000 - £145,000 Equity in an early-stage tech company on an incredible trajectory 25 days holiday plus local public holidays Apple hardware Private medical insurance through AXA Pension contribution through Hargreaves Lansdown Enhanced family leave Team off-site in fun places! (We've been to Barcelona, Lisbon, Malta, and Split so far) Initial Conversations 30-minute introductory call with a member of our Talent team 45-minute conversation with our CTO & Co-Founder Core Interviews System Architecture & Technical Foundations session with our Staff Product Engineer Data Analysis & Commercial Reasoning session with our Product Lead - Growth Final Stage 30-minute closing conversation with our CEO Optional team meet-and-greet (on request) Offer call (if it’s a mutual fit)

🚀 We’re on a mission to make money work for everyone. We’re waving goodbye to the complicated and confusing ways of traditional banking. After starting as a prepaid card, our product offering has grown a lot in the last 10 years in the UK. As well as and bank accounts, we offer , , a and in the UK, with more exciting things to come beyond. Our UK customers can also , and _ with us. With our hot coral cards and get-paid-early feature, combined with financial education on social media and our award winning customer service, we have a long history of creating magical moments for our customers! We’re not about selling products - we want to solve problems and change lives through Monzo ❤️ 📍London/Cardiff/UK Remote | 💰 £86,000-105,000 + | ✨ About us: At Monzo we want to make money work for everyone. We care deeply about our 15+ million customers. Through magically simple products and actionable insights, we put our customers in control of their finance. Our products are different by design, and reliable at our core. Our range of borrowing products are critical to Monzo’s mission. Not only do they serve important needs of our customers, they are also a key revenue driver to support Monzo keep delivering great products and experience. We have seen stellar growth and deep engagement with millions of borrowers, supported by effective and efficient credit risk management. Our product portfolios are still expanding fast, from personal to business credit, and markets beyond UK. We are looking for bright, passionate and creative individuals to further accelerate our growth. About the role The mission of Borrowing ML Scientists is to improve the customer and business outcomes through better automated decisioning, using Machine Learning and Statistical modelling. We have a primary focus in credit risk modelling, with our expertise also applied to predict and optimise utilisation, pricing, collection and marketing. You will be working alongside a team of very experienced and highly efficient ML Scientists, with well established toolings for the fully lifecycle of ML models. Each of you owns multiple ML applications end-to-end, from experiment design and data curation, to deployment and monitoring. You will be empowered to innovate in the data, methodologies and toolings, so we can build better models easier and faster. You will have exposure to all Borrowing products and applications, with autonomy to decide what are the most impactful topics to work on, and how to deliver them. You will work closely with our Credit Strategy Managers, Model Validation Analysts, Backend Engineers, and Product Managers, to fit your model development into the product roadmap. You are also empowered to think big about the business, market and customers, to influence our product and credit strategy beyond just the world of models. Our technology stack We rely heavily on the following tools and technologies (although we do not expect applicants to have prior experience of all them): • _ for all of our analytics usages, • and for our data modelling and warehousing, • PyData stack for model development and offline deployment, • Google Vertex AI platform for cloud computing, • _ for backend infrastructure, • Python for ML model microservices, • Go lang for most other microservices, • AI toolings for productivity (an evolving list), • Google suites including access to Gemini, • ChatGPT enterprise, • Claude code 🤩 You should apply if: • You are result oriented and motivated by the impact on our customers and business, • You enjoy a high degree of autonomy and thrive in a fast-paced environment, • You are keen to grow your knowledge in both business and technology 📌 You must have: • Excellent SQL and Python skills with good understanding of best practices in software engineering and data engineering, • In-depth knowledge of statistical and machine learning models: gradient boosted trees, logistic regression, neural networks, survival analysis, etc, • Solid knowledge of statistics: hypothesis testing, confidence intervals, bootstrap, • Experience of end-to-end model development and maintenance of ML models used for business critical automated decisioning, in a consumer facing industry, • Great attention to details while keeping an eye on the big picture, • Excellent communication skills to articulate complex problems, • Capability to build mutual respect and trust with people of different background Nice to have: • Experience in UK/EU retail lending businesses for personal/business customers, • Experience of ML model governance in a regulated industry, • Experience in leverage modern day AI tools for productivity The Interview Process: Our interview process involves: • 30’ Recruiter Call, • 45’ Initial Call, • 60’ ML technical skill interview, • 60’ Behavioural interview All interviews will be conducted through Google Meet. Our average process takes around 3-4 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 _ What’s in it for you: 💰 £86,000 to £105,000 ➕ plus stock options & benefits ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be either based in our London office with hybrid working pattern, or fully remote within UK with occasional travels to London. 🏡We will set you up to work from home; all employees are given Macbooks and for fully remote workers we will provide extra support for your work-from-home setup. ⏰ 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 _ #LI-DC2 #LI-Remote Equal opportunities for everyone Diversity and inclusion are a priority for us and we’re making sure we have lots of support for all of our people to grow at Monzo. At Monzo, we’re embracing diversity by fostering an inclusive environment for all people to do the best work of their lives with us. This is integral to our mission of making money work for everyone. You can read more in our , 2024 and 2024 _ We’re an equal opportunity employer. All applicants will be considered for employment without attention to age, ethnicity, religion, sex, sexual orientation, gender identity, family or parental status, national origin, or veteran, neurodiversity or disability status. If you have a preferred name, please use it to apply. We don't need full or birth names at application stage 😊

Astra is building mission-critical infrastructure for moving money at scale. Our platform processes billions in annual transaction volume with 99.9%+ uptime, powering real-time transfers, bank debits, card disbursements, and complex financial compliance systems. We provide APIs and automation tools that enable businesses to move money programmatically while maintaining strict regulatory requirements. At Astra, a Technical Account Manager is the first line of technical troubleshooting for our customers. This person will respond to inbound inquiries, investigate and resolve integration issues, aid in technical client configurations, and provide clear guidance and support to customers and internal teams. They will work hands-on in technical environments to trace errors, diagnose problems, and escalate when necessary. The role requires strong problem-solving skills, comfort with technical systems, and the ability to translate complex issues into clear solutions for customers. This role requires working hours of 12:00 AM – 9:00 AM Eastern Time (ET), providing overnight coverage for Astra’s platform and customers. This schedule aligns naturally with UK and EU business hours, making candidates in those time zones a strong fit. North American and other candidates are also welcome if they are committed to this shift. Serve as a front-line technical contact by answering customer support inquiries, troubleshooting integration issues, and payment ops. Partner closely with the Integrations team to support onboarding of new customers, helping them configure and validate integrations. Contribute to Astra’s knowledge base by writing and improving technical documentation, FAQs, and guides to streamline customer self-service. Collaborate with the Integrations and Engineering teams on new product solutions, providing feedback from customer interactions and assisting with testing and validation. Investigate issues and other technical environments, identifying root causes and escalating complex problems when necessary. Act as a bridge between customers and the integration and engineering teams, translating technical details into clear, actionable communication. 1–3 years of experience in a technical support, integration, or solutions engineering role (startup or fintech experience a plus). Familiarity with cloud platforms (preferably Google Cloud Platform) and comfort navigating logs, APIs, and technical tools. Strong troubleshooting skills and the ability to investigate and resolve integration or data flow issues. Excellent written and verbal communication skills — able to translate complex technical concepts into clear, customer-friendly explanations. Experience with support systems like Zendesk (or similar ticketing platforms). A collaborative mindset with the ability to work cross-functionally with Engineering, Product, and Customer Success teams. A proactive, detail-oriented approach and willingness to document solutions and processes for future use. Proactive mindset - you seek out ways to improve systems and enable others Bachelor’s degree in Computer Science, Information Systems, Engineering, or related field — or equivalent practical experience. Monitoring: Experience with observability and alerting systems Proficiency with cloud platforms, ideally Google Cloud Platform (GCP) Understanding of APIs, data integrations, and common troubleshooting workflows Experience with ticketing systems (Zendesk, Jira, or similar) Comfort working with logs, SQL queries, and basic debugging tools Strong documentation skills for both internal and customer-facing materials Cloud Infrastructure: GCP (App Engine, Firestore, Cloud Functions, IAM, Pub/Sub, BigQuery) Infrastructure as Code: Terraform, CloudFormation, or similar CI/CD: GitHub Actions, CircleCI, or similar platforms Programming: Python, Go, Bash for automation and tooling Customer Trust: Be on the front line, ensuring Astra’s integrations run seamlessly and customers feel supported. Product Reliability: Investigate and resolve technical issues that directly impact uptime and performance. Onboarding Success: Play a critical role in providing integration support to ensure new customer launches are smooth, fast, and reliable. Knowledge Sharing: Create documentation and insights that empower customers and reduce friction. Feedback Loop: Bridge customer needs and engineering innovation to shape Astra’s future solutions. Competitive compensation with equity in a growing fintech company (note that international employees may have different tax treatment) Remote-first culture with flexible working arrangements Small team, big impact - your work directly shapes our entire platform infrastructure Professional growth - lead infrastructure decisions for a scaling fintech platform Modern tech stack - work with cutting-edge cloud technologies Mission-driven - build infrastructure that powers financial innovation Astra is a remote-first company hiring only within the U.S. We value thoughtful collaboration, clarity, and initiative. We’re proud to be an equal opportunity employer and are committed to building a diverse and inclusive team. We're looking for technically savvy individuals who are excited by complex systems problems and have the educational background and experience to handle sophisticated challenges. If you're passionate about building mission-critical financial infrastructure and want to have a direct impact on our technical direction, we'd love to hear from you.

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. 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 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? • 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.

Tower Research Capital is a leading quantitative trading firm founded in 1998. Tower has built its business on a high-performance platform and independent trading teams. We have a 25+ year track record of innovation and a reputation for discovering unique market opportunities. Tower is home to some of the world’s best systematic trading and engineering talent. We empower portfolio managers to build their teams and strategies independently while providing the economies of scale that come from a large, global organization. Engineers thrive at Tower while developing electronic trading infrastructure at a world class level. Our engineers solve challenging problems in the realms of low-latency programming, FPGA technology, hardware acceleration and machine learning. Our ongoing investment in top engineering talent and technology ensures our platform remains unmatched in terms of functionality, scalability and performance. At Tower, every employee plays a role in our success. Our Business Support teams are essential to building and maintaining the platform that powers everything we do — combining market access, data, compute, and research infrastructure with risk management, compliance, and a full suite of business services. Our Business Support teams enable our trading and engineering teams to perform at their best. At Tower, employees will find a stimulating, results-oriented environment where highly intelligent and motivated colleagues inspire each other to reach their greatest potential. Tower Research Capital, a high-frequency proprietary trading firm founded in 1998, seeks a Quant Developer to join one of its trading teams in London. You will be joining the EMEA Development team and as a Quant Developer, you will be in charge of improving the current research framework through the development of existing and new tools, and provide close day-to-day support to the quantitative research team on-site. Responsibilities • Designing and implementing a low latency high-frequency trading platform, • Assisting in the development of a tick by tick backtesting research platform, • Assisting in development and optimizing large-scale parallel computation problems that requires large quantities of data shared across resources, • Optimizing the computational efficiency of existing machine learning based algorithms to drive higher performance and faster learning rates, • Developing systems, interfaces and tools to historical market data and trading simulations that increase research productivity, • Creating tools to analyze data and generate insights that research decisions are based on Qualifications • Bachelor's, Masters or PhD in Computer Science, Engineering, or a related field (or equivalent practical experience), • A strong background in data structures, algorithms, and object-oriented programming in C++, • Brilliant problem-solving abilities, • The ability to manage multiple tasks in a fast-paced environment, • Strong communication skills, • Python and/or financial markets experience is preferred but not required Benefits Tower’s headquarters are in the historic Equitable Building, right in the heart of NYC’s Financial District and our impact is global, with over a dozen offices around the world. At Tower, we believe work should be both challenging and enjoyable. That is why we foster a culture where smart, driven people thrive – without the egos. Our open concept workplace, casual dress code, and well-stocked kitchens reflect the value we place on a friendly, collaborative environment where everyone is respected, and great ideas win. Our benefits include: • Generous paid time off policies, • Savings plans and other financial wellness tools available in each region, • Hybrid working opportunities, • Free breakfast, lunch, and snacks daily, • In-office wellness experiences and reimbursement for select wellness expenses (e.g., gym, personal training and more), • Company-sponsored sports teams and fitness events, • Volunteer opportunities and charitable giving, • Social events, happy hours, treats, and celebrations throughout the year, • Workshops and continuous learning opportunities At Tower, you’ll find a collaborative and welcoming culture, a diverse team and a workplace that values both performance and enjoyment. No unnecessary hierarchy. No ego. Just great people doing great work – together. Tower Research Capital is an equal opportunity employer.

Who We Are Having surpassed $300M ARR and continuing to grow, Optro is the leading audit, risk, ESG, and InfoSec platform on the market. More than 50% of the Fortune 500, including 7 of the Fortune 10, leverage our award-winning technology to move their businesses forward with greater clarity and agility. And our customers love us: Optro is top-rated on _ and Gartner Peer Insights. At Optro, we inspire each other to innovate and are proud of what we are producing. We spend each day thinking of new ways to help our customers and contribute to the greater good of our company and our surrounding communities. We are all about assisting each other and breaking through barriers to create the most loved audit, risk, ESG, and InfoSec platform by our customers. This is how we have become one of the 500 fastest-growing tech companies in North America for the seventh year in a row, as ranked by Deloitte! Why This Role is Exciting Optro has a stateless containerized application architecture built on Kubernetes, hosted on multiple cloud platforms and regions, and maintained with our custom automation infrastructure software. Optro is looking for a Senior Software Engineer II specialized in Infrastructure Engineering who has industry experience scaling reliable and secure cloud infrastructure at a global scale. You'll bring end-to-end experience building, designing, and supporting a cloud-based infrastructure stack, and you're comfortable driving infrastructure projects from concept through to production as an individual contributor - taking requirements from QA, Engineering, Technical Support, and others, writing clear design documentation, and producing secure, scalable, robust implementations. You love to collaborate but can also work independently, and you're energized by mentoring fellow engineers and helping shape architecture decisions on the team. Key Responsibilities Architect and implement new cloud infrastructure to enable high-performance SaaS applications globally in the cloud. Drive infrastructure features end-to-end, from design documentation through implementation, rollout, and operational ownership. Build and deliver observability tools and analyze data, working with the application development team to ensure a consistently superb customer experience. Continue to grow automation for infrastructure provisioning, developer efficiency, and internal tooling efficiency. Apply AI-assisted development tools to accelerate IaC, automation, code review, and on-call workflows, while maintaining a high bar for security, correctness, and review discipline. Mentor fellow engineers and contribute to team-wide architecture decisions. Assist our customer support and sales teams with technical issues regarding the Optro application. Maintain reliability for our production systems to exceed our SLA requirements, including participation in an on-call rotation for production issues. Help define internal Service Level Objectives and Service Level Indicators for the Infrastructure Engineering team to drive better reliability. Collaborate with engineers, designers, and product managers; give and receive feedback well in a dynamic environment. Attributes for a Successful Candidate 5+ years of software development experience, with a track record of taking projects from concept to production Strong software development background with strong expertise in at least one programming language (Go, Python, TypeScript, or similar) Experience with Docker and running container orchestration systems (Kubernetes preferred) Experience working with cloud services providers (AWS or Azure preferred) Experience with Infrastructure as Code and other cloud automation tools (HashiCorp suite) Experience building observability tooling, dashboards, and alerting for monitoring distributed systems Experience designing globally distributed systems in a cloud-based, container-based world Comfort writing clear design documentation and influencing architecture decisions Fluency with AI-assisted development tools (e.g., Claude Code, Cursor, Copilot) and good judgment about when and how to apply them Bonus: open-source contributions or prior experience defining SLOs/SLIs for production services *perks may vary based on eligibility/location Our Company Values Customer obsession: It starts and ends here. Consistently ask yourself how what you’re doing creates value for our customers. It’s a mindset. Gritty resilience: Make it happen. Find a way. Move fast, stay positive, and do what it takes. Drive innovation: Create the future. Continuously improve what exists and invent what’s next. Win, together: One team. No silos, no egos. Drive to be the best and support each other’s success. Growth mindset: 10x, not 10%. Think in orders of magnitude, not increments. Seek feedback, learn, and improve. Please note that background checks are required. Qualified Applicants with arrest or conviction records will be considered for Employment in accordance with the Los Angeles County Fair Chance Ordinance for Employers and the California Fair Chance Act. This role may have access to highly sensitive data, including employee data, customer data, company financials, and proprietary product information. We love building strong partnerships, but please note that Optro cannot accept unsolicited resumes from agencies. Any submissions without a signed agreement in place will not create a fee obligation. #LI-Remote

Founded in 2018, _ provides institutional-grade trading technology for the global digital asset market, powering many of the major players in the crypto ecosystem. Our mission at Talos is clear: to advance the mass adoption of digital assets by seamlessly connecting institutions to the digital asset ecosystem. We are committed to building the most innovative and trusted platform in the world, supporting the entire trading lifecycle. At Talos, you'll find an environment that champions kindness and respect, values diverse perspectives, and upholds inclusivity at every turn. We believe that every member of our team adds invaluable insights and abilities that drive Talos forward. In our pursuit of excellence, we foster a culture of trust and integrity, collaboration, and mutual growth. Together, we are ambitiously building something extraordinary. Your unique talents and insights will play a crucial role in our shared success. We are a tight-knit but decentralized team of highly-experienced engineers and businesspeople. We have a hybrid-friendly work environment, with physical hubs in New York, London, Singapore, Sweden and Cyprus. Talos operates at the intersection of crypto and capital markets, building high-performance systems to support the rapidly evolving digital asset space. As a Software Engineer at Talos, you’ll collaborate with our team to develop the backend trading and settlement platform that powers institutional crypto trading. You'll have the opportunity to work on key areas such as order routing, market data connectivity, position management, and risk systems. We’re looking for engineers eager to take ownership of their work and contribute to the entire development lifecycle—from design and implementation to testing and deployment. At Talos, we value engineers who enjoy solving complex problems, working in a fast-paced environment, and learning from experienced teammates. Prior experience in finance or crypto is a plus but not required—we’re more interested in your ability to write great code, think critically, and work collaboratively. Want to learn more about Talos’s engineering culture? Check out Sonic, our first open-source project which allows Talos to achieve microsecond network stack latency in Go: _ Design, develop, and maintain backend services that support crypto trading and settlement Optimize system performance, scalability, and security Collaborate with product and client teams to build solutions that support the full trade lifecycle Contribute to a culture of innovation, transparency, and continuous learning 3+ years of software engineering experience in Go, Java, C++, C#, or Python B.S. or M.S. in Computer Science, related field, or equivalent experience Experience working with complex backend systems Strong problem-solving skills and a proactive mindset Interest in financial technology—experience in crypto or traditional markets is a plus Local to London HQ You will also enjoy a comprehensive array of competitive benefits, regardless of your location, within our warm, welcoming, and ambitious company culture. We provide paid lunches in the office, monthly fitness and evening socials to foster connections with colleagues, and other events to engage with the wider team. Sounds compelling? We’d love to hear from you. _. Also, check out _ listed on our website. Talos is proud to be an Equal Opportunity employer. We do not discriminate based upon race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender, gender identity, gender expression, transgender status, sexual stereotypes, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Talos is committed to providing reasonable accommodations for candidates with disabilities in our recruiting process. If you need any assistance or accommodations due to a disability, please let us know at _. To protect the interests of all parties, Talos Trading, LLC and its affiliates (“Talos”) strongly discourage submission of unsolicited resumes from any source other than directly from a candidate. Talos will NOT pay fees, commissions or compensation of any kind (“Fees”) for any placement or hire resulting from the receipt of an unsolicited resume. Talos will consider any candidate for whom an Agency has submitted an unsolicited resume to have been referred by the Agency free of any charges or fees and Talos reserves the right to contact, interview, and hire the candidate directly. Agencies, search firms, recruitment firms and similar organizations (“Agencies”) must obtain advance written approval from Talos’s internal recruiting team to submit resumes, AND must sign a valid fully executed placement agreement with Talos in order to be eligible to receive any Fees from Talos. Talos will not pay a Fee to any Agency that does not have such agreement in place. By submitting a resume without a signed agreement, you acknowledge and accept these terms. © Talos Trading, _ By submitting your application and pursuing job candidacy, you consent to the processing of your personal information in connection with our _.

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! _

Strong programming skills in Python and C#, with a focus on writing clean, maintainable, and well-structured code. Senior Python Developer with Azure experience and a footing with AI. Experience with Azure’s native AI stack (including AI Foundry, Search, Cosmos DB, and AKS), strong Python and C# s

About the Role We’re looking for an Enterprise Account Executive to join Anaconda’s growing EMEA Sales team and expand our footprint with large, complex organizations across the UK. Anaconda is transforming how enterprises harness open-source AI and data science to accelerate innovation. We partner with organizations already using Python and open-source technologies to help them scale securely, govern usage, and deliver real business outcomes. In this role, you’ll own the full enterprise sales cycle (from discovery through close) building trusted, long-term partnerships with both technical and executive stakeholders. You’ll collaborate closely with Sales Engineering, Customer Success, Marketing, and Product to shape value-driven enterprise engagements in a region where buying cycles are consultative, multi-threaded, and relationship-led. What You’ll Do • Build and manage a pipeline of net-new enterprise opportunities across your assigned EMEA territory, • Lead deep discovery conversations with developers, platform teams, security, procurement, and executive leadership, • Translate Anaconda’s technical capabilities into clear business outcomes such as productivity gains, cost optimisation, risk reduction, and governance, • Orchestrate complex, multi-threaded sales cycles, partnering closely with Sales Engineering for technical validation, evaluations, and POCs, • Own opportunities from first conversation through close, maintaining accurate forecasting and pipeline hygiene in Salesforce, • Collaborate cross-functionally with Customer Success, Professional Services, and Product to support successful implementations and identify expansion opportunities over time, • Build long-term account strategies that support land-and-expand growth in large enterprise environments Your Impact Will Be Measured Through • Pipeline generation and net-new ARR sourced within your territory, • Win rate, deal progression, and deal velocity on qualified enterprise opportunities, • Forecast accuracy and consistency in execution, • Customer satisfaction, retention, and expansion within enterprise accounts What You’ll Need • 8+ years of B2B SaaS sales experience, including closing complex enterprise-level deals in EMEA, • Proven success selling to technical buyers and translating technical value into business impact, • Experience navigating large, matrixed organizations with security, legal, and procurement stakeholders, • Strong understanding of how developers and data teams work (SDLC, platforms, cloud, open source)—without needing to code, • Comfort operating in ambiguous, evolving environments and proactively building pipeline, • Experience managing long, consultative sales cycles typical of EMEA enterprise buying, • Alignment with Anaconda’s values: Curious by Default, Build Together, Own It, and Lead with Guts and Heart, • Based in UK, with the ability to travel within the region for customer meetings and events as needed, • French language proficiency What Will Make You Stand Out • Experience selling developer tools, data platforms, AI, or OSS-adjacent products, • Background at a high-growth startup or scale-up, not only large enterprise vendors, • A track record of executing land-and-expand strategies in enterprise accounts, • Familiarity with MEDDPICC, Challenger, or similar enterprise sales methodologies, • Ability to build credibility with developers and technical teams without relying on brand recognition, • Experience selling across multiple EMEA countries or cultures Why You'll Like Working Here • You'll thrive in a high-performance environment where results are recognized and rewarded, • Your work directly contributes to shaping the future of data science, machine learning, and AI in the enterprise., • You'll work alongside a collaborative team that values diverse, thoughtful discussion, clarity and candor., • You'll be supported by a culture that puts employees first - with flexible hours, a fully remote setup, and a genuine commitment to your wellbeing and growth. Application deadline: There is no deadline; we accept applications on an ongoing basis. In addition to base salary, we offer a comprehensive benefits package that includes: • Flexible Vacation Policy, • Medical, Dental, and Vision Insurance, • Short Term and Long Term Disability, • Paid Parental Leave, • Monthly Wellness Stipend, • Employee Assistance Program and Mental Health Resources An Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, or protected veteran status and will not be discriminated against on the basis of disability. Anaconda, Inc. (“We”, “Us”) are committed to protecting and respecting your privacy. This Privacy Notice sets out the basis on which the personal data collected from you, or that you provide to Us, will be processed by Us in connection with Our recruitment processes. By clicking “Submit Application”, you acknowledge you have read our and that Anaconda can retain your application data for up to 1-year, unless otherwise stated. For the purpose of the General Data Protection Regulation (“GDPR”) ”) and the version of the GDPR retained in UK law (the “UK GDPR”) the Data Controller is Vanessa Macilwaine. Anaconda is an EEO/AA employer M/F/V/D.

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

About StarComplianceStarCompliance is on a mission to make compliance simple and easy. Trusted globally by enterprise financial institutions, the user-friendly STAR platform empowers organizations to achieve regulatory compliance while safeguarding their integrity and business reputations. Through a customizable, 360-degree view of employee activity, the STAR software enables firms to automate the detection and resolution of potential areas of conflict while streamlining daily workflows and increasing efficiency. Location: Candidates MUST be UK based and have right to work. We are seeking a highly skilled and pragmatic Site Reliability Engineer (SRE) to help lead our evolution from legacy single-tenant monoliths to modern, scalable, multi-tenant microservices. This is a pivotal role for our business, enabling faster delivery, improved reliability, and real scalability across our SaaS portfolio. While we’ve got a solid handle on infrastructure monitoring, we’re still in the early innings when it comes to application-level observability, autoscaling, and progressive delivery strategies (e.g., canary releases, blue/green deployments). That’s where you come in. You’ll work closely with Infrastructure, Architecture, Engineering, and Support teams to design, build, and evangelize the next generation of SRE practices and tools that ensure uptime, resiliency, and customer trust. • Champion Reliability by Design: Collaborate with architects and engineers to build resilient, fault-tolerant systems across our evolving cloud-native stack., • Observability Overhaul: Lead the charge on full-stack observability, leveraging modern APM tooling, meaningful SLOs/SLIs, and actionable alerts., • Scaling Systems: Develop and implement auto-scaling strategies, load testing plans, and capacity forecasting for multi-tenant environments., • Progressive Delivery: Help implement and automate deployment strategies such as canary releases, feature flags, and blue/green rollouts., • Incident Response: Create and refine on-call processes, incident response playbooks, and blameless post-mortem routines., • Monitoring & Tooling: Own and evolve our monitoring infrastructure, integrating metrics, logs, and traces into a cohesive ecosystem., • Developer Empowerment: Build reusable templates, dashboards, and platform tooling to empower dev teams to “shift left” on reliability., • Cross-functional Collaboration: Work hand-in-hand with Infrastructure, Architecture, Support, and Engineering teams to drive shared accountability for uptime and performance., • 5+ years in SRE, DevOps, or Production Engineering roles, ideally within a SaaS or cloud-native environment., • Deep experience with cloud platforms (preferably Azure or AWS), and Infrastructure-as-Code tools (e.g. Terraform)., • Hands-on experience with Azure DevOps is strongly preferred, as our CI/CD and project workflows are fully built around it., • Proficiency with observability tools such as New Relic, Datadog, Prometheus, or similar., • Strong understanding of software deployment strategies, CI/CD pipelines, and release engineering., • Ability to code in at least one modern scripting or systems language (e.g., Python,PowerShell, Go, Bash)., • Experience operating multi-tenant environments with an emphasis on security, performance, and cost optimization., • Excellent communicator who thrives in cross-functional settings and can influence engineering culture around reliability., • Experience in regulated industries (e.g., financial services, healthcare)., • Background with service mesh architectures, distributed tracing, and gRPC/GraphQL., • Familiarity with incident management platforms (e.g., PagerDuty, OpsGenie)., • Contributions to open-source SRE tooling or frameworks. StarCompliance Background Checks All positions require pre-employment screening due to employees potentially having access to highly sensitive and confidential information involving finance and compliance; candidates must be trustworthy and have a heightened sensitivity to protecting confidential financial, professional information. To be eligible for employment with StarCompliance, candidates must undergo a rigorous background investigation with checks including, but not limited to, criminal record history, consumer credit, employment history, qualifications, and education checks. Equal Opportunity Employer Statement We prohibit discrimination and harassment of any kind based on race, sex, religion, sexual orientation, national origin, disability, genetic information, pregnancy, gender identity or expression, marital/civil union/domestic partnership status, veteran status or any other protected characteristic as outlined by country, state, or local laws. This policy applies to all employment practices within our organisation, including hiring, recruiting, promotion, termination, layoff, recall, leave of absence, compensation, benefits, training, and apprenticeship. StarCompliance makes hiring decisions based solely on qualifications, merit, and business needs at the time. For more information, please request a copy of our Equal Opportunities Policy. We 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 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

About Wintermute Wintermute is one of the largest crypto-native algorithmic trading companies in digital assets. We provide liquidity algorithmically across most cryptocurrency exchanges and trading platforms, a broad range of OTC trading solutions as well as support high profile blockchain projects and traditional financial institutions moving into crypto. Wintermute also has a Wintermute Ventures arm that invests in early stage DeFi projects. Wintermute was founded in 2017 by industry leaders and has successfully navigated crypto industry cycles. Culturally, we combine the best of the two worlds: the technology standards of high-frequency trading firms in traditional markets and the innovative and entrepreneurial culture of technology startups. To Wintermute digital assets is not just another asset class, we believe in the innovative potential of blockchain, the fundamental innovations, we have a long-term view on the digital asset market and are taking a leadership position in building an innovative and compliant market. Read more _ Working at Wintermute We are looking for a C++ Trading Platform Developer who is passionate about technology, interested in both low level details of how computer hardware operates and high-level design of large systems, as well as in data infrastructure. Someone who likes opening the hood to see how things work, has understanding of data structures, experience writing client-server network applications, and writing and optimising code for high performance. We welcome your previous experience from your own personal projects as well as commercial experience. We are looking for people who are passionate about technology and have experience looking under the hood to see how C++ standard libraries and other solutions are implemented. Interest in algorithmic and quantitative trading is a plus. At Wintermute you will have an opportunity to grow and make direct impact on trading by developing and improving all the parts of the trading platform, data infrastructure and related software, while also getting advice and guidance from very experienced developers and traders, including the founders. You will get a lot of independence and responsibility right away, and you'll learn at an unprecedented speed! No legacy systems, no multiple levels of approvals, no bureaucracy; all developers report directly to CTO who is very hands on. You are judged by what you deliver, not by the hours your do. It is up to you to make an impact! You will work alongside exceptionally sharp colleagues, learn how to write fail-safe code and improve performance and scalability of the trading system, a real challenge and a rare opportunity! We have flexible working arrangements, it’s the productivity that matters. What will you work on A great advantage of this position is that it is varied, and it is also up to you to shape it in the direction that matches your talents and company needs. The focus of the role would be to work on the global trading platform that spans across many continents, with real time data capture, order entry on dozens of exchanges, robust connectivity and built in monitoring. You would be working on expanding and scaling up our trading platform, mainly using C++ and Python. All the workstations and servers are running Linux, no windows in trading and the development team. We also keep things simple and easy to understand wherever possible which means designing, scalable and robust C++ and Python code is a main skill. We will share more technical details in the interviews. You will have opportunity to improve your knowledge of software optimisations, of building robust large-scale systems and to understand crypto currency trading. \n Hard Skills requirements • Strong C++ skills are required - we will test, • Experience with looking under the hood to see how C++ standard libraries work - we will test, • Strong analytical skills - we will test, • Understanding of networking, CPU and memory model, assembly language - desirable Join our dynamic team and benefit from: • Working at one of the most innovative trading firms globally., • Engaging projects offering accelerated responsibilities and ownership compared to traditional finance environments., • A vibrant working culture with frequent team meals, holiday celebrations, gaming events, and company-wide outings, including our annual Wintermute weekend getaway., • A Wintermute-inspired office in central London, featuring an array of amenities such as table tennis and foosball, personalized desk configurations, a cozy team breakout area with games and free food., • Great company culture: informal, non-hierarchical, ambitious, highly professional with a startup vibe, collaborative and entrepreneurial., • A performance-based compensation with a significant earning potential alongside standard perks like pension and private Health insurance. Note: • Although we are unable to accept fully remote candidates, we support significant flexibility in regards to working from home and working hours., • We offer UK work permits and help with relocation Find out more: • _, • _, • _, • _, • _ \n

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.We believe in using the power of collective intelligence to ethically shape the futur

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

Senior Data Analyst | Snowflake, SQL, Python | Salary up to c.Must be able to start immediatlely.Our partner is looking for a Senior Data Analyst to transform data into action, using platforms like Snowflake, SQL and Python alongside BI/dashboard tools.You will be a data-driven problem solver who th

Web App Developer PHP (Mandarin Speaking) Manchester - Hybrid £50,000 - £60,000 + Training + Progression + Hybrid + Other Company Benefits Are you a PHP/ WordPress Developer that speaks Mandarin that wants to work for one of the UK's Chemical Research and Manufacturing businesses? Do you want to work for a business that is now global, has had a huge injection of funds and will be going through a accelerated growth phase? On offer is the chance to join a thriving business where you will have full autonomy over your development as you will be tasked with managing the Mandarin speaking clients? This business have gone from strength to strength in the last decade and are now looking to onboard a new developer to help build state of the art web apps using PHP, WordPress and JavaScript. The ideal candidate will be fluent in Mandarin and have experience building websites and be a commutable distance to Manchester. THE ROLE: • Build web applications using PHP, WordPress and JavaScript, • Use SQL to connect database's, • Use PowerBI to create easy to digest data sheets, • Speak with the Mandarin speaking teams THE PERSON: • Experience with Web App development, • Fluent in Mandarin, • Commutable distance to Manchester Reference: BBBH19765 Keywords: PHP, Laravel, JS, JavaScript, WordPress, SQL, Hybrid, Manchester, Progression, Mandarin, Python, PowerBi, If you're interested in this role, click 'apply now' to forward an up-to-date copy of your CV, or call us now. If this job isn't quite right for you but you are looking for a new position, please contact us for a confidential discussion on your career. Ernest Gordon Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job, you accept the T&C's, Privacy Policy and Disclaimers which can be found at our website.

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

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

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

🌏 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 s

Kappa Lab is a digital assets market maker committed to delivering 24/7 deep liquidity and enhancing market efficiency. Our proprietary technology enables us to provide swift and effective solutions to our partners, while our sophisticated algorithms ensure efficient and consistent pricing across all trading venues. We fuel the Web3 ecosystem, driving innovation in pioneering projects with the professionalism and dedication of our exceptional team. Description As a Quant Developer at Kappa Lab, you will be working within a trading team, playing a pivotal role in translating quantitative trading strategies into operational algorithms and production-grade code. You will be working at the forefront of the rapidly evolving world of cryptocurrency trading. This position demands a blend of problem-solving skills, adaptability, and collaborative teamwork. If you possess a strong background in programming, excellent analytical skills, and an interest in the crypto markets, we want to hear from you! We offer a hybrid working arrangement, with the opportunity to be based in either our London or Dubai Office. Responsibilities • Design, develop, and implement high-performance trading algorithms and systems for cryptocurrency markets, ensuring they align with quantitative strategies and market-making objectives., • Optimize code for speed, reliability, and scalability to handle high-frequency trading environments and large-scale data processing., • Analyze market data, liquidity patterns, and order book dynamics to improve algorithm efficiency and pricing models., • Improve reporting and analysis of the existing system's performance. Required skills • Proficiency in Python., • Strong understanding of data structures, algorithms, and software design principles., • Experience with data analysis and manipulation using libraries like NumPy, Pandas, or similar tools., • Good knowledge of probability, statistics, and quantitative modeling techniques., • Familiarity with cryptocurrency markets, blockchain technology, and trading concepts (e.g., order types, liquidity provision)., • Excellent problem-solving skills and the ability to work effectively in a fast-paced, team-oriented environment. Desirable skills • Proficiency in Rust and/or Cython.., • Experience in high-frequency trading (HFT), market making, or algorithmic trading in crypto or traditional finance. Kappa Lab is an equal opportunites employer committed to creating an inclusive and diverse workplace. We welcome applications from all individuals and do not discriminate based on race, colour, nationality, ethnicity, religion or belief, sex, sexual orientation, gender identity or expression, marital status, pregnancy or maternity, disability, or age. We value and respect the unique contributions each person brings, and we strive to ensure that everyone can thrive and grow within our organization.

AI Engineer - £60,000 - Remote My client, a Microsoft partner, is looking for a AI/ ML Engineer to join their rapidly growing Data and AI team. This is a remote position as the client values work life balance and flexibility. In this role you will utilise the latest AI technologies including Machine Learning, Gen AI and Open AI whilst working on various different projects. You will collaborate with clients to understand their business needs and provide them with AI based solutions. Requirements: -Experience in Data Science, Machine Learning and AI tech -Azure cloud technology experience -Strong Python Benefits: -Competitive salary -Remote working -25 days annual leave and bank holidays -10% bonus -And more Please Note: This is a permanent role for UK residents only. This role does not offer Sponsorship. You must have the right to work in the UK with no restrictions. Some of our roles may be subject to successful background checks including a DBS and Credit Check. Contact me:

Senior Backend Engineer - Casino UX. Modern engineering culture: work in a high-autonomy environment with daily deploys, no legacy code, and a tech-first approach to a traditional industry. Has 5+ years of professional backend engineering experience with a strong proficiency in Python or another maj

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

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

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