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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.

Are you looking to benefit from a new career in Data Analysis? If you are detail orientated, perceptive, organised, competent, analytical and can communicate well with those around you; you could have a truly rewarding future as a Data Analyst We do this using our specialised Data Analyst career programme which looks to assist and place qualified candidates into a career pathway in Data Analysis. Please note this career program is designed for entry level individuals with limited or no experience, so please do not apply if you are already an experience Data Analyst as we will be looking primarily at entry level roles. Demand for Data Analysts has grown 20% year on year with experienced analysts easily commanding salaries of £50k+. All business decisions rely on data to ensure correct business decisions are made and therefore the role of the data analyst in the new digital world has become essential for business owners. Below are current average salaries in the sector for lower-level positions and fully trained Data Analysts: • Junior Data Analyst - £30,000, • Data Analyst - £50,000, • Business Data Analyst - £67,500, • Data Analytics Analyst - £80,000, • Business Analysts - £60,000 Using our experience in providing data analysis and business analysis training online and through our expert recruitment consultants, we can provide a seamless journey and often fast-tracked route into a new career in Data Analysis. The courses in the package have been identified by our recruitment partners as industry standards for the UK/European and International Data Analysis sector. Skills shortages across all sectors are increasing the demand for qualified, entry-level career seekers and career changers. Whether you are working full-time, part-time or are unemployed, this job and recruitment package has the flexibility to be completed at a pace that suits you and can be completed in a few weeks. Your job and career goals are completed in 4 easy steps listed below. Step 1 - CompTIA Data+ Qualification The first step is completing the CompTIA Data+ Qualification accredited by CompTIA. This professional international industry-recognised qualification teaches you the essential skills of a Data Analyst. You will cover skills such as data mining, manipulating data, visualising data, and reporting on data. Study time for the qualification is approximately 30 hours and qualification is achieved by completing a 1-hour multiple choice exam. The course is provided online and comes complete with exam simulators and revision tools. You will be provided with access to a tutor and a 1-hour online revision workshop prior to sitting your exam. This qualification will set you on a route to becoming a data analyst. Step 2 - Data Administration Training Data is extracted using various method which are normally IT driven. Therefore, we will provide you with access to the following additional courses to ensure you are suitably employable as a data analyst. • Microsoft excel - to expert level., • Learn SQL - the programming language used for extracting data from more complex databases., • Learn Python 3 - Python 3 is a simple to use programming language used by many analysts., • Learn Tableau - Tableu is a tool which analysts use to build visually appealing dashboards for complex data making it easier for stakeholders to comprehend. Study time for these courses is approximately 30-60 hours and qualification is achieved through completion of the course with no exam. Step 3 - Business Analysis Foundation Business Analysts and Data Analysts often work very closely together and indeed many Data Analysts become Business Analysts and vice versa. Adding a Business Analyst Foundation certificate will make you much more employable and enable you to cross over into business analyst roles and hybrid roles. Business Analysis Foundation accredited by the BCS (The British Computer Society also known as the Chartered Institute of IT). Study time for this course is approximately 15 hours and qualification is achieved through an online BCS exam. Step 4 - Recruitment Support Now you are qualified for an entry level data analyst position our recruitment support team will now begin collaborating with you to help you secure your first a suitable role based on your new qualifications and any other experience you may have. We have been helping candidates start and build careers in the project management industry since 2007 and have a 4.8 Trustscore on Trustpilot. Our Recruitment Support team will help you work through job applications, interviews and provide you with a full cv review based around your new qualification and written to maximise your chances of obtaining a role in the project management sector. They will provide you with guidance as to which roles our most suitable for you as an entry level project sector worker aiming to become a project manager. This will include mock job interviews as well as any help you feel you need. Our money back guarantee If after 1 year of passing your formal qualifications, we have been unable to help you secure a role, we will refund your study fees minus the cost of the exams. However, we are normally able to help candidates find their first role within 6 months of qualifying and for locations based close to major cities this is often reduced to less than 3 months. Check our testimonials from the hundreds of candidates we have already helped. What Now? To accommodate candidates, the training element of the package is available on finance terms of up to 1 year. This enables you to get qualified and start in your new role without having to fund all the training costs up front. Enquire now and one of our experienced Career Consultants will contact you within 4 working hours to answer any questions that you may have and to assist you in taking the first step towards your Data Analyst Career aspirations.

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.

C# .NET Developer | Energy Trading Systems | Off‑The‑Shelf Integration | £80,000 | AWS | Fully Remote A C# .NET Developer is required to join the Trading Risk Management Centre of Excellence at one of the UK’s largest and most established energy businesses, operating across nuclear, renewables, battery storage and customer markets. This is a rare opportunity to work at the intersection of technology and energy trading sitting within a back‑office Centre of Excellence that interacts directly with front‑office teams including curve trading and ship trading desks. You’ll work on the systems that enable trading across a large and complex energy portfolio, from generation through to customer delivery, with excess traded across wholesale markets. The business operates at significant scale across the full energy value chain, and the C# .NET engineering function is central to enabling that. The team works across a landscape of off‑the‑shelf trading systems and bespoke integrations, and is on a long‑term journey toward a SaaS model giving you exposure to both the current landscape and the future architecture. They’re open to developers still building experience if you bring strong foundations, the right mindset and a willingness to learn the domain, this team will support your growth. The Team You’ll join a small, focused C# .NET team within the Trading Risk Management CoE, working alongside Business Analysts, Software Engineers and external specialists. The team is responsible for: • Designing, building and improving C# .NET components that integrate with and extend off‑the‑shelf trading platforms, • Building and maintaining C# .NET integrations across trading systems and data sources, • Enabling front‑office trading through reliable, scalable back‑office technology, • Supporting the business on its longer‑term journey toward a SaaS‑based architecture Role Details 💰 Up to £80,000 + Annual Bonus + Market‑Leading Benefits💻 Tech Stack: C# .NET | SQL | AWS | Oracle | Java | React Native | CI/CD📍 Fully Remote As a C# .NET Developer, you will: • Design, develop and improve C# .NET components and integrations across off‑the‑shelf trading and risk systems, • Translate business requirements from trading stakeholders into scalable technical solutions, • Build and maintain C# .NET integrations supporting live trading operations, • Work closely with front‑office teams including curve trading and ship trading desks, • Support live systems debugging, monitoring and continuous improvement, • Contribute to the longer‑term architectural evolution toward SaaS• Collaborate with BAs, architects and external system specialists Required Experience • Commercial experience in C# .NET development, • SQL exposure writing and optimising queries across large datasets, • Experience integrating or working with off‑the‑shelf software platforms, • Exposure to cloud computing, ideally AWS, • Strong analytical mindset comfortable working with data and translating business needs, • Collaborative and communicative across technical and business stakeholders, • Comfortable working in a data‑intensive, operationally critical environment Desirable Experience • Integrating or extending off‑the‑shelf trading or risk platforms, • Understanding of energy market structure generation, route‑to‑market, wholesale trading• Event‑driven architecture in C# .NET, • Oracle database experience• React Native or CI/CD exposure, • Python in a data or engineering context• Supporting live trading or operational systems, • Exposure to FIS Align, Allegro or similar ETRM platforms

I am working with an emerging Insurtech looking for a technical Pricing/data science professional. Seeking a proactive individual with a passion for data to join a small, high-performing team and play a key role in driving the business forward. They use an in-house pricing system combining traditional Emblem GLM models with machine learning models developed in Python. My client has an office based in London however, this role can be fully remote. Required skills: • Proactive self-starter with a can-do attitude — essential for thriving in a small team environment where initiative and independent working are key., • Strong technical pricing background, ideally with experience using WTW Emblem; retail pricing and/or exposure to data science techniques (e.g. machine learning, Python) within a pricing context is highly desirable., • 3 to 8 years of experience within personal lines insurance is required

Data Engineer / Data Engineering / Azure / Databricks / Ingestion / Pipelines / Insurance / Financial Services / 3 month contract / Outside IR35 / Fully remote One of our leading clients is looking to recruit a Data Engineer. Location – fully remote / home based Duration – 3 months plus possible extension Outside IR35 Role / Responsibilities: • Define and build a data lake architecture on Azure (ADLS + Databricks), • Implement layered data model (bronze / silver / gold) for ingestion, processing, and reporting, • Develop ingestion patterns from API sources (batch and streaming), • Establish data governance, metadata, and access controls, • Define storage structures, naming conventions, and schema design, • Develop API connectors and ingestion pipelines using Python, • Implement integration services feeding into the Databricks environment, • Build data transformation logic using PySpark / Python (data cleansing, standardisation, validation), • Configure monitoring, logging, and alerting, • Execute unit and integration testing across pipelines Experience: • Azure, • Databricks, • Python, • Financial Services sector experience – Ideally Insurance / General or Life Insurance

🚀 Senior Software Engineer – AI Platform (Python / Go) 📍 Remote We’re partnered with a fast-scaling AI company building infrastructure powering real-time voice AI at scale. They’re looking for a Senior Software Engineer to help evolve the core backend platform, focused on scalability, reliability, and performance across real-time AI systems. What You’ll Be Doing ⚙️ • Building and scaling backend platform services powering real-time AI products, • Breaking down monolithic systems into high-performance distributed services, • Improving observability, deployment processes, and platform reliability, • Working across LLM, speech, and telephony infrastructure, • Optimising systems for low latency and high throughput workloads, • Improving internal tooling and overall developer experience What They’re Looking For 🧠 • 5+ years backend engineering experience, • Strong Python engineering background with some Go experience, • Experience building distributed systems and microservices, • Comfortable working on performance-critical, real-time systems, • Experience decomposing monolithic architectures, • Strong fundamentals around system design, scalability, and reliability Tech 🧱 • Python / Go, • Distributed systems & microservices, • LLMs, speech systems, and real-time AI infrastructure, • Modern cloud, deployment, and observability tooling Why It’s Interesting 💡 • High-impact engineering role within a rapidly scaling AI company, • Opportunity to work on genuinely difficult real-time systems problems, • Strong engineering culture with meaningful ownership, • Remote-first environment with competitive salary and equity If you enjoy backend systems engineering and want to work close to modern AI infrastructure at scale, this is worth a conversation.

I am working with a leading Personal Lines Insurer who are seeking a Technical Pricing Manager. The successful candidate will be responsible for the production of specialist statistical risk models across a range of products. As a Technical Pricing Manager, you’ll drive strategic change by enhancing model sophistication and leveraging the latest data science techniques to support profitable business growth. Key Responsibilities: • Develop and refine complex actuarial models to deliver high-impact, innovative pricing solutions, • Conduct ad-hoc actuarial and statistical analyses, working with stakeholders across the business to address diverse challenges, • Produce reports, documentation, and presentations to effectively communicate statistical models and insights to key stakeholders Requirements: • Proficiency in data science techniques using Python or R, • Expertise in statistical analysis software, with knowledge of Willis Towers Watson (Emblem, Radar) being highly desirable, • Strong understanding of pricing and underwriting principles, preferably within personal or commercial lines at a large business scale, • Ability to oversee pricing model development and maintenance while evaluating the profitability and market positioning of new and existing product propositions, • Proven experience working collaboratively with teams and senior stakeholders, with excellent communication skills to present complex concepts clearly

Dive deeper with in-demand technical skills including Python programming, data handling, machine learning, and version control with Git and GitHub. Our industry-leading AI Traineeship is designed to take you from complete beginner to a highly employable Junior AI Engineer, with full training provid

We work with some great technology; our stack consists of a number of Python-based (micro-)services with React frontend, currently running on the Google Cloud Platform (GCP). Proficiency in Python for server-side development.

Experience of cloud technologies including AWS, Snowflake, SQL, and Apache Airflow, SQL and programming languages such as PL/SQL and Python, Spark, and Pyspark.

RISK DATA SCIENTIST (ESG & Supply Chain).Make a real-world impact in an industry that needs smarter, more sustainable solutions.This role would suit someone who enjoys end-to-end ownership, communicating with non-technical stakeholders, and building models from scratch using Python and SQL.I'm worki

Data Engineer- London/ Remote- 4 Months- £41-£46 ph PAYE A global technology company are looking for an experienced Data Engineer to join their team on an initial 9 month assignment. The data warehouse team works very closely with Product Managers, Product Analysts and Internet Marketers to figure out ways to acquire new users, retain existing users and optimize user experience - all of this using massive amounts of data. In this role, you will see a direct link between your work, company growth, and user satisfaction. The successful Data Engineer will work with some of the brightest minds in the industry, and you'll get an opportunity to solve some of the most challenging business problems on the web and mobile Internet, at a scale that few companies can match. Responsibilities: • Manage data warehouse plans for a product or a group of products., • Interface with engineers, product managers and product analysts to understand data needs., • Build data expertise and own data quality for allocated areas of ownership., • Design, build and launch new data models in production., • Design, build and launch new data extraction, transformation and loading processes in production., • Support existing processes running in production., • Define and manage SLA for all data sets in allocated areas of ownership., • Work with data infrastructure to triage infra issues and drive to resolution. Skills/ Experience: • 5+ years experience in the data warehouse space., • 5+ years experience in custom ETL design, implementation and maintenance., • 5+ years experience with programming languages (Python or Java), Python preferred., • 5+ years experience in writing efficient SQL statements., • Experience working for a large technology company, • Experience working with either a Map Reduce or an MPP system., • Hands on and deep experience with schema design and dimensional data modelling., • Ability to analyse data to identify deliverables, gaps and inconsistencies., • Excellent communication skills including the ability to identify and communicate data driven insights., • Ability and interest in managing and communicating data warehouse plans to internal clients., • BS/BA in Technical Field, Computer Science or Mathematics Huntress Search Ltd acts as a Recruitment Agency in relation to all Permanent roles and as a Recruitment Business in relation to all Temporary roles. We practice a diverse and inclusive recruitment process that ensures equal opportunity for all we work with, irrespective of race, sexual orientation, mental or physical disability, age or gender. As an organisation, we encourage applications from all backgrounds and will ensure measures are met when required, to allow a fair process throughout. PLEASE NOTE: We can only consider applications from candidates who have the right to work in the UK.

Tech stack: Graduate / Junior Developer, Python, JavaScript, PHP, Graduate / Junior Developer). These roles would be suitable Graduate / Junior Developer who have recently graduated from university and have a basic understanding of any of the following technologies: Python, JavaScript, PHP, React, R

Job Title: Solutions Engineer Location: London, Berlin, or Amsterdam metro area (Remote) About FusionAuth FusionAuth is a developer-first customer identity platform that gives engineering teams complete control over authentication, authorization, and user management. We serve organizations across B2C, B2B, and B2B2C with a single-tenant architecture, flexible hosting options, and deep extensibility through APIs, webhooks, and advanced customizations. We’re a fast-growing company solving complicated identity problems for teams that care about control, performance, and security. Our Solutions Engineering team sits at the center of product, engineering, and revenue — guiding prospects through architecture decisions, supporting complex proof-of-concepts, and helping them evaluate FusionAuth with clarity and confidence. If you love talking to developers, diagramming architectures, building sample apps, and helping teams understand the “why” behind identity decisions, this role is for you. Job Summary Your Role: The Hero of Solutions Engineering As a Solutions Engineer, your mission is to drive the technical win. You’ll team up with Account Executives to run deep discovery, demonstrate FusionAuth’s capabilities, build trust with engineering teams, and guide prospects through solution design, hosting choices, and identity architecture decisions. This isn’t a “demo jockey” role — our SEs write code, build PoCs, advise on CIAM best practices, and advocate for developers. You’ll influence product direction, collaborate closely with engineering, and shape how organizations adopt FusionAuth in the real world. Responsibilities Drive Technical Discovery & Solution Design • Lead discovery sessions that uncover technical requirements, constraints, and success criteria., • Build and present architectural recommendations tailored to each prospect’s environment and model (B2C, B2B, B2B2C, app suites, multi-tenant SaaS, M2M)., • Guide prospects through modern auth patterns (OAuth, OIDC, SAML, MFA, SSO, token exchange, mTLS, DPoP, FGA, etc.). Deliver Developer-First Technical Evaluations • Run demos that speak directly to engineering teams — hands-on, credible, and real., • Build example apps, scripts, and integration patterns using FusionAuth, modern frameworks, and cloud tooling., • Support structured proofs of concept, including async Slack support, environment setup guidance, sample payloads, and success criteria alignment., • Advise on FusionAuth hosting tiers (Basic, Business, HA) and help prospects understand cost, scale, and operational tradeoffs., • Assist with customer environments: Docker, Kubernetes, containers, microservices, cloud infra, CI/CD, and DevOps patterns., • Help prospects align FusionAuth with compliance, security, and regional requirements. Collaboration, Documentation & Process • Partner with product and engineering to ensure field requirements are heard and prioritized., • Contribute documentation, internal runbooks, diagrams, and developer-focused content., • Participate in creating Consensus workflows, Problem/Solution videos, and technical demo assets., • Present at meetups, webinars, and developer-focused events., • Collaborate with DevRel and Product Marketing to create authentic developer content., • Serve as a credible technical voice in the identity community. Qualifications • Dev XP: 4+ years software development or engineering experience (you can write code, debug, and reason about architecture)., • SE XP: 2+ years in pre-sales, customer-facing engineering, technical consulting, or similar., • Hands-on IAM experience (OAuth, OIDC, SAML, MFA, SSO) with ability to explain and implement flows., • Comfort working with modern frameworks (JS/TS, Python, Java, Go, etc.)., • Experience with cloud platforms (AWS, GCP, Azure)., • Familiarity with DevOps tooling (Docker, Kubernetes, CI/CD, observability)., • Strong communication skills — diagramming, documentation, storytelling., • Curiosity and a builder mindset — SEs at FusionAuth are makers. Preferred • Experience with CIAM specifically (Auth0, Keycloak, Cognito, WorkOS, Stytch, Frontegg, etc.)., • Security/compliance awareness (SOC2, GDPR, HIPAA)., • Experience in multi-region deployments, high availability, and distributed systems., • Technical certifications (AWS SA, Kubernetes, security certs)., • Location: Based in London, Berlin or Amsterdam metro area Important Details • Application Submission: We value authentic, thoughtful responses. Copy/pasted or AI-generated answers to application questions that don’t reflect your own experience may disqualify your application., • In-Person Interview: Please be aware that participating in an in-person interview is a required step in the FusionAuth hiring process prior to employment. This visit allows both FusionAuth and the candidate to get to know each other better and confirm a strong mutual fit and alignment with our team and work environment. Candidates are encouraged to plan accordingly, and FusionAuth supports this process by reimbursing reasonable travel and lodging expenses associated with onsite interviews. If you are passionate about technology that solves real-world customer problems, and want to join a company that is moving the industry forward, FusionAuth is a perfect fit for you! Equal Employment Opportunity FusionAuth provides equal employment opportunities to all employees and applicants for employment and prohibits discrimination and harassment of any type without regard to race, color, religion, age, sex, national origin, disability status, genetics, protected veteran status, sexual orientation, gender identity or expression, or any other characteristic protected by federal, state or local laws. This policy applies to all terms and conditions of employment, including recruiting, hiring, placement, promotion, termination, layoff, recall, transfer, leaves of absence, compensation and training. | Recruiters FusionAuth does not accept unsolicited resumes from recruiters or employment agencies. In the absence of a signed agreement, we reserve the right to pursue and hire candidates without any financial obligation to the recruiter or agency. Any unsolicited resumes, including those submitted directly to hiring managers, are deemed to be the property of FusionAuth.

About Aiviq Aiviq is a fintech company transforming how asset managers globally process, analyse, and leverage their data. Our solutions power critical business processes for leading financial institutions worldwide, helping them drive efficiency and growth. Position Overview As an experienced Technical Business Analyst within the Professional Services department at Aiviq, you will take a hands-on role in the execution of implementation projects to new and existing Aiviq clients. You'll collaborate with our Sales, Product Management, Engineering and Services teams to deliver on global implementations while ensuring technical excellence throughout multiple project lifecycles. Core Responsibilities Technical Design & Problem Solving • Receive and execute on work packages for client implementation under the supervision of a Project Manager., • Understand the client data sources at a business and technical level and build data connectors for ingesting that data into the Aiviq solution,, • Assist the Project Manager in appropriate product and data scope requirements for new client engagements and in defining suitable acceptance criteria., • Contribute innovative ideas to advance the Professional Services offering, • Create high-quality technical documentation for client specific implementation work., • Define and execute on suitable test criteria for ensuring successful completion of project tasks., • Conduct sophisticated data analysis to draw out potential problems in implementations or to innovate in improvement to the implementation process., • Demonstrate advanced SQL and Python skills, • Work with Engineering and QA on the reporting of, resolution and client side testing of bugs and issues. Your Qualifications Required Experience • 3+ years in technical business analysis, preferably in financial services, • Advanced SQL skills (Python, C# and .NET also relevant), • Database design and architectural expertise, • Ability to grasp new business data domains quickly, • Excellent communication skills for global stakeholder engagement, • Agile development methodology experience Desired Experience • Experience with financial reporting or revenue management systems, • Testing experience across complex rules engines and financial data, • Experience with AI/ML implementation and/or BI/reporting solutions, • Experience with Azure or other relevant cloud-based solutions What Sets You Apart • Excellent technical problem solving skills, • Ability to communicate complex business or technical issues with key stakeholders, • Full data literacy with ability to draw meaningful conclusions quickly, • Excellence in client interaction across global markets, • Track record of bringing innovation within a professional services environment, • Ability to bridge technical and business requirements What We Offer • Opportunity to shape a growing professional services operation., • Career growth within a globally expanding fintech, • Collaborative, innovation-focused environment, • Competitive compensation package, • Professional development support Aiviq is an equal opportunity employer and values diversity in our workforce. This role will be located in London although we are a hybrid team with frequent remote working and broader flexible working options available.

Software Engineer Full-time | Remote (UK) with trips to Silicon Valley office Introduction: Join us at Fastino as we build the next generation of LLMs. Our team, boasting alumni from Google Research, Apple, Stanford, and Cambridge is on a mission to develop specialized, efficient AI. Fastino's GLiNER family of open source models has been downloaded more than 5 million times and is used by companies such as NVIDIA, Meta, and Airbnb Fastino has raised $25M (as featured in TechCrunch) through our seed round and is backed by leading investors including Microsoft, Khosla Ventures, Insight Partners, Github CEO Thomas Dohmke, Docker CEO Scott Johnston, and others. What you'll work on: Ship full-stack features end-to-end, owning the full lifecycle from conception to production with minimal oversight. Build and maintain the infrastructure powering Fastino's services, keeping systems reliable and performant as we scale. Work directly with AI researchers to bring new model capabilities into the product, moving fast without sacrificing quality. Translate user feedback into product improvements, closing the loop quickly between what customers experience and what gets shipped. Collaborate daily with the full team to review progress, surface blockers, and keep velocity high. What We’re Looking For: Required: 3+ years of hands-on software engineering experience, with a track record of owning features from design to deployment. Required: Strong Python skills; comfort in TypeScript is a plus but not required. Required: You thrive in ambiguity and can balance speed and scalability without needing a playbook. Optional: Experience building or integrating with LLM-based systems or AI infrastructure. Optional: Familiarity with high-concurrency backend systems or low-latency API design.

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to _. Job Title: Lead Backend Engineer Salary: £110,000 - £130,000 Company Description: Midnite - Series C fintech platform with $75M+ raised Job Description: Join Midnite as the technical lead for our greenfield AI & Back Office team. In this player-manager role, you will build the internal platform powering our global operations while driving practical AI integration across engineering workflows. You will lead three engineers to ship high-quality Python systems that redefine how our business operates daily. Location: Remote, UK Why this role is remarkable: Lead a brand-new, greenfield function with total autonomy to shape technical architecture and AI experimentation from day one. Work for a well-funded Series C startup backed by The Raine Group, shipping proprietary technology to production daily in a modern AWS environment. Drive high-impact AI enablement, moving beyond chatbots to build production-grade LLM tooling that accelerates an entire engineering organization. What you will do: Architect and build the core backend systems for Midnite’s internal back office platform, focusing on configuration management and operational APIs. Manage and mentor a small team of three fullstack and backend engineers, maintaining a high bar for code quality and professional growth. Identify and prototype AI-powered improvements such as automated documentation, RAG pipelines, and intelligent alerting to reduce operational toil. The ideal candidate: 7+ years of experience in backend engineering with strong Python proficiency and a solid foundation in cloud infrastructure (AWS preferred). Proven ability to lead or mentor engineers while remaining hands-on as an individual contributor in a fast-paced environment. Practical experience integrating LLMs and AI APIs into production systems, with a pragmatic approach to building useful business tools. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit _. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

As a Senior Data Engineer in our new Central Data Engineering team in the Platform Mission, you will be leading work that is mission-wide in terms of scope. Our new Central Data Engineering team will inform data quality standards, access standards, create templatised solutions, assist in managing mission-level datasets/dashboards, and prepare our mission’s data for the AI Future that expected to impact every squad and product area. As the Senior engineer on the team, you will deal with bringing structure to ambiguity and be the bridge between business goals and translating them to technical deliverables. • Build large-scale data pipelines using frameworks like Google Cloud Platform and Apache Beam., • Work on projects powering new generative AI experiences and helping to build models., • Learn and contribute to the team's best practices and techniques for building data pipelines for large-scale models, including cleaning, filtering, classifying, and labeling., • Collaborate with other engineers, researchers, product managers, and stakeholders, taking on learning and leadership opportunities that arise., • Deliver scalable, testable, maintainable, and high-quality code., • Share knowledge, promote standard methodologies, and improve the team through mentorship and constructive accountability., • You have Data Engineering experience and know how to work with high-volume, heterogeneous data, preferably with distributed systems such as Hadoop, BigTable, Cassandra, GCP, AWS., • You have experience building clean, high-quality datasets for training large-scale models., • You have experience with one or more higher-level Python or Java-based data processing frameworks such as Beam, Dataflow, Crunch, Scalding, Storm, Spark, etc., • You have strong Python programming abilities. You might have worked with Docker as well as Luigi, Airflow, or similar tools., • You care about quality and know what it means to ship high-quality code., • You have experience managing data retention policies., • You care about agile software processes, data-driven development, reliability, and responsible experimentation., • You understand the value of collaboration and partnership within teams., • This role is based in London, • We offer you the flexibility to work where you work best! There will be some in person meetings, but still allows for flexibility to work from home.Spotify is an equal opportunity employer. You are welcome at Spotify for who you are, no matter where you come from, what you look like, or what’s playing in your headphones. Our platform is for everyone, and so is our workplace. The more voices we have represented and amplified in our business, the more we will all thrive, contribute, and be forward-thinking! So bring us your personal experience, your perspectives, and your background. It’s in our differences that we will find the power to keep revolutionizing the way the world listens. At Spotify, we are passionate about inclusivity and making sure our entire recruitment process is accessible to everyone. We have ways to request reasonable accommodations during the interview process and help assist in what you need. If you need accommodations at any stage of the application or interview process, please let us know - we're here to support you in any way we can. Spotify transformed music listening forever when we launched in 2008. Our mission is to unlock the potential of human creativity by giving a million creative artists the opportunity to live off their art and billions of fans the chance to enjoy and be passionate about these creators. Everything we do is driven by our love for music and podcasting. Today, we are the world’s most popular audio streaming subscription service.

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)., • Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction., • Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility., • Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency., • Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)., • Incorporate big data processing scenarios requiring scalable computational approaches., • Verify solutions using Python with standard data science libraries and statistical methods., • Document problem statements clearly with realistic business contexts and provide verified correct answers. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field., • You have at least 5 years of hands-on data science experience with proven business impact., • You have portfolio of completed projects and publications showcasing real-world problem-solving., • You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)., • You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications., • You are proficient in SQL and database operations for data manipulation and analysis., • You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)., • You have good understanding of MLOps practices and model deployment workflows., • You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $55/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

🚀 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 or Remote (UK) | 💰 £155-175,000 + Options + _ About the team: Our Borrowing (lending) business is growing rapidly across both existing products and the planned launch of new initiatives. We aim to create a genuine feel-good factor when it comes to personal credit, and are looking for driven, analytical and creative individuals to help us achieve this goal. With our Flex product we’re reinventing credit cards to give customers more visibility and control over their spending. Our portfolio is growing rapidly and we’re expanding our team to support our future growth ambitions. We’re looking for a Director to lead the credit strategy for Flex originations. You will lead the team responsible for developing the credit and pricing strategies as we evolve our existing propositions and develop new products and distribution strategies. Our credit teams are part of our Data Discipline which drives a strong culture of data-driven decision making across the whole company. We’re great believers in powerful, real-time analytics and empowerment of the wider business. All our data lives in one place and is super easy to use. 90% of day-to-day data-driven decisions are covered by self-serve analytics through Looker which gives analysts the head space to focus on more impactful business questions and analyses. Join a team where your ideas can rapidly transform into reality, leveraging our cutting-edge technology and agile ways of working. Our credit analysts and managers are fully embedded into a product squad alongside Product Managers, Engineers, Designers, Marketers, Customer Researchers, Data Scientists etc. This enables us to solve customer problems in a fast paced and innovative way. How you’ll contribute: • Lead a team that will develop credit and pricing strategies for our growing range of Flex products and distribution channels, • Work closely with squad leadership to develop and execute an ambitious growth strategy for Flex, • Oversee the development and maintenance of the NPV models and affordability strategies that underpin the Flex underwriting decisions, • Promote a culture of proactive, high quality analysis and ensure we have the right credit capabilities, infrastructure and talent in place to scale safely, • Collaborate with the Decision Science team to maximise value from our internal and external data through cutting-edge ML models, • Partner closely with key stakeholders including Capital, Impairments and Forecasting, Financial Health (Collections and Recoveries), Finance, Second Line Credit Oversight, • Be a member of the Borrowing Leadership Team which drives Monzo's overall borrowing strategy You should apply if: What we’re doing here at Monzo excites you! • You have multiple years of experience in unsecured lending, especially credit cards, • You’re as comfortable getting hands-on as well as taking a step back and thinking strategically and proactively identifying opportunities, • You have a working understanding of the regulations that apply to lending in the UK, • You have experience working at banks with growing lending portfolios, • You have track record leading analytical teams, • You are a clear and precise communicator, able to cut through complex problems and articulate decision points for our executive team, • Are comfortable working in a fast-moving and changing company, • (Ideally) you have working knowledge of SQL and Python The Interview Process: Our interview process involves 3 main stages. We promise not to ask you any brain teasers or trick questions! • Recruiter call, • Initial call with the hiring manager, • Final loop of interviews meeting the team 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 tech-hiring@monzo.com What’s in it for you: ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚Learning budget of £1,000 a year for books, training courses and conferences ➕And much more, see our full list of benefits_ #LI-REMOTE #LI-NJ1 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 😊

We established Faculty in 2014 because we thought that AI would be the most important technology of our time. Since then, we’ve worked with over 350 global customers to transform their performance through human-centric AI. You can read about our real-world impact _. We don’t chase hype cycles. We innovate, build and deploy responsible AI which moves the needle - and we know a thing or two about doing it well. We bring an unparalleled depth of technical, product and delivery expertise to our clients who span government, finance, retail, energy, life sciences and defence. Our business, and reputation, is growing fast and we’re always on the lookout for individuals who share our intellectual curiosity and desire to build a positive legacy through technology. AI is an epoch-defining technology, join a company where you’ll be empowered to envision its most powerful applications, and to make them happen. Our Defence team is focused on building and embedding human-centered AI solutions which give our nation a competitive edge in the defence sector. We collaborate with our clients to bring ethical, reliable and cutting-edge AI to high-stakes situations and maintain the balance of global powers essential to our liberty. Because of the nature of the work we do with our Defence clients, you will need to be eligible for UK Security Clearance (SC) and willing to work between 2 to 4 days per week on-site with these customers which may require travel to locations throughout the UK. When not required on client sites, you’ll have the flexibility to work from our London office or remotely from elsewhere within the UK. We are looking for an ambitious Software Engineer to join our Defence team and help us push the boundaries of what’s possible in cloud and edge computing. In this individual contributor role, you will work alongside senior technical leaders to implement high-impact patterns and practices that elevate the quality of our technical delivery. This is an opportunity to operate at the intersection of Machine Learning Engineering and Data Science, applying elite engineering standards to solve complex, real-world problems that provide immediate value to our customers. Building and extending critical components of client deliverables across diverse software domains. Delivering robust technical artefacts in both compiled and non-compiled languages to meet project goals. Implementing defined engineering patterns and practices specifically tailored for the Defence sector. Collaborating closely with MLE and Data Science teams to integrate and refine technical solutions. Applying rigorous software engineering best practices to enhance the scalability and quality of our codebases. Executing CI/CD processes and managing application deployments on Kubernetes and bare metal environments. You have a proven ability to solve bounded technical problems and deliver robust, scalable technologies. You possess hands-on experience in application development with a solid understanding of system architecture. You are proficient in Python and have contributed to production codebases in Rust, C++, Go, C#, or Java. You have experience participating in complex technical projects, including pair programming and code reviews. You bring a genuine passion for understanding customer problems and delivering high-value solutions. You are comfortable working with Docker and GitLab to manage modern deployment pipelines. Talent Team Screen (30 minutes) System Design Interview (90 minutes) Pair Programming Interview (90 minutes) Commercial & Leadership Interview (60 minutes) We aim to grow the best team - not the most similar one. We know that diversity of individuals fosters diversity of thought, and that strengthens our principle of seeking truth. And we know from experience that diverse teams deliver better work, relevant to the world in which we live. We’re united by a deep intellectual curiosity and desire to use our abilities for measurable positive impact. We strongly encourage applications from people of all backgrounds, ethnicities, genders, religions and sexual orientations. Some of our standout benefits: Unlimited Annual Leave Policy Private healthcare and dental Enhanced parental leave Family-Friendly Flexibility & Flexible working Sanctus Coaching Hybrid Working If you don’t feel you meet all the requirements, but are excited by the role and know you bring some key strengths, please don't hesitate in applying as you might be right for this role, or other roles. We are open to conversations about part-time hours.

🚀 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 ❤️ 📍Cardiff, London or Remote (UK) | 💰 £76,500 to £103,500 + Options + | You’ll join the Core Borrowing team, a cross-functional group consisting of Credit Analysts, Product Manager, Engineers, Designers, Marketers, Customer Research. The team's ambition is to establish Monzo as the preferred borrowing option for its customers. This will be achieved by continuously enhancing the experience for existing borrowers and developing innovative new products. The credit teams are part of our wider Data Discipline which drives a strong-culture of data-driven decision making across the whole company using powerful, real-time analytics. As a Senior Credit Analyst, you’ll play a critical role in shaping Monzo’s credit strategy across core lending products. Your responsibilities will include: • Leading analytical initiatives to improve credit underwriting, manage portfolio risk, and support growth, • Supporting the design, implementation and iteration of lending strategies based on data insights, • Monitoring performance of existing strategies and identifying opportunities for improvement, • Developing and maintaining credit models (including cohort performance, risk segmentation, and NPV analysis) to inform strategic decision-making, • Building and enhancing dashboards, data pipelines, and reporting that enable rapid, data-driven decisions, • Collaborating with cross-functional partners in engineering, product, marketing, risk, and control to design and deliver product changes and features, • Assessing long-term portfolio performance and contributing to strategic discussions on portfolio health, • Helping define and document methodology, assumptions, and business impact for leadership and stakeholders Locations & flexible working: Our main tech hub is in London, but our data teams are based all over the UK — from Brighton to the Western Isles. We love meeting in person, but there’s no pressure to come into the office, even if you’re nearby. You’ll do your best work where you feel most comfortable. We value flexibility, connection, and wellbeing. You’ll have the freedom to work in a way that fits your life, whether that’s school drop-offs, avoiding rush hour, or making time for what matters most. Work the way that works for you at Monzo! 💼 You’ll be a strong fit if you have: • Experience in unsecured retail lending (e.g., credit cards, personal loans, overdrafts, etc.), • A solid understanding of lending economics, including pricing, risk trade-offs, and portfolio performance metrics, • History of developing and deploying underwriting strategies or credit risk frameworks, • Excellent analytical and data skills - SQL is essential, Python and Looker are a plus, • Ability to translate complex analysis into actionable recommendations and communicate clearly with technical and non-technical stakeholders, • Knowledge of UK lending regulations and how they shape credit strategy, • Experience collaborating with cross-functional teams in fast-paced environments, • Strong project management and organisation skills We're on the look out for L40 Senior Credit Analysts at the moment, you can read more in our _ Our typical process is structured as: • Recruiter call, • Initial hiring manager call, • Take-home task, • Final interviews - (3x) including case study, role-specific, and behavioural interviews Our average process takes around 3-4 weeks but we will always work around your availability. What’s in it for you: 💰£76,500 to £103,500 + stock options +_ ✈️ We can help you relocate to the UK ✅ We can sponsor visas 📍This role can be based in our London office, but we're open to distributed working within the UK (with ad hoc meetings in London). ⏰ We offer flexible working hours and trust you to work enough hours to do your job well, at times that suit you and your team. 📚 Learning budget of £1,000 a year for books, training courses and conferences ➕ And much more, see our full list of benefits_ #LI-LG1 #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 😊

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please provide your resume in English and specify your proficiency level. At , innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as an AI Tutor in Coding, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Code generation and code review, • Prompt evaluation and complex data annotation, • Training and evaluation of large language models, • Benchmarking and agent-based code execution in sandboxed environments, • Working across multiple programming languages (Python, JavaScript/TypeScript, Rust, SQL, etc.), • Adapting guidelines for new domains and use cases, • Following project-specific rubrics and requirements, • Collaborating with project leads, solution engineers, and supply managers on complex or experimental projects Note: Flexibility and quick adaptation to new requirements are essential. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Bachelor's or Master's Degree in Software Development, Computer Science, or other related fields., • You have at least 3 years of professional experience, including hands-on experience with Ruby testing frameworks (RSpec, Minitest, Capybara) and automation tools., • Your level of English is advanced (C1) or above., • Proficient with code review, quality analysis, and identifying/fixing code smells, anti-patterns, and test gaps in Ruby codebases., • Experience with test integration in CI/CD environments (GitHub Actions, GitLab CI, Jenkins, or CircleCI), • Experience using, integrating, or tutoring others with AI/ML or LLM-powered testing/coding solutions in Ruby projects., • Familiarity with containerization technologies (Docker), automated deployment, and scripting within Ruby environments., • Strong skills in defect documentation, profiling, and debugging Ruby applications., • Experience generating and maintaining high-quality documentation for tests, bugs, and technical debt., • Hackathon or competitive coding experience is a plus., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Get paid for your expertise, with rates that can go up to $44/hour depending on your skills, experience, and project needs., • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

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

This opportunity is only for candidates currently residing in the specified country. Your location may affect eligibility and rates. Please submit your resume in English and indicate your level of English proficiency. At _, innovation meets opportunity. We believe in using the power of collective intelligence to ethically shape the future of AI. What we do The Mindrift platform connects specialists with AI projects from major tech innovators. Our mission is to unlock the potential of Generative AI by tapping into real-world expertise from across the globe. About the Role GenAI models are improving very quickly, and one of our goals is to make them capable of addressing specialized questions and achieving complex reasoning skills. If you join the platform as a Data Science AI Trainer, you’ll have the opportunity to collaborate on these projects. Although every project is unique, you might typically: • Design original computational data science problems that simulate real-world analytical workflows across industries (telecom, finance, government, e-commerce, healthcare)., • Create problems requiring Python programming to solve (using pandas, numpy, scipy, sklearn, statsmodels, matplotlib, seaborn)., • Ensure problems are computationally intensive and cannot be solved manually within reasonable timeframes (days/weeks)., • Develop problems requiring non-trivial reasoning chains in data processing, statistical analysis, feature engineering, predictive modeling, and insight extraction., • Create deterministic problems with reproducible answers: avoid stochastic elements or require fixed random seeds for exact reproducibility., • Base problems on real business challenges: customer analytics, risk assessment, fraud detection, forecasting, optimization, and operational efficiency., • Design end-to-end problems spanning the complete data science pipeline (data ingestion → cleaning → EDA → modeling → validation → deployment considerations)., • Incorporate big data processing scenarios requiring scalable computational approaches., • Verify solutions using Python with standard data science libraries and statistical methods., • Document problem statements clearly with realistic business contexts and provide verified correct answers. Compensation On this project, contributors can earn up to $55 per hour equivalent, depending on their level and pace of contribution. Compensation varies across projects depending on scope, complexity, and required expertise. Please note that other projects on the platform may offer different earning levels based on their requirements. How to get started Simply apply to this post, qualify, and get the chance to contribute to projects aligned with your skills, on your own schedule. From creating training prompts to refining model responses, you’ll help shape the future of AI while ensuring technology benefits everyone. • You hold a Master’s or PhD Degree in Data Science, Statistics, Mathematics, Computer Science, or related quantitative field., • You have at least 5 years of hands-on data science experience with proven business impact., • You have portfolio of completed projects and publications showcasing real-world problem-solving., • You are proficient in python programming for data science (pandas, numpy, scipy, scikit-learn, statsmodels)., • You are an expert in statistical analysis and machine learning with deep understanding of algorithms, methods, and their practical applications., • You are proficient in SQL and database operations for data manipulation and analysis., • You have experience with GenAI technologies (LLMs, RAG, prompt engineering, vector databases)., • You have good understanding of MLOps practices and model deployment workflows., • You possess knowledge of modern frameworks (TensorFlow, PyTorch, LangChain)., • Your level of English is advanced (C1) or above., • You are ready to learn new methods, able to switch between tasks and topics quickly and sometimes work with challenging, complex guidelines., • Our freelance role is fully remote so, you just need a laptop, internet connection, time available and enthusiasm to take on a challenge. Why this freelance opportunity might be a great fit for you? • Take part in a part-time, remote, freelance project that fits around your primary professional or academic commitments., • Work on advanced AI projects and gain valuable experience that enhances your portfolio., • Influence how future AI models understand and communicate in your field of expertise.

About Us _ is not your regular deep-tech startup. We are creating the next-generation AI platform to support anyone who wants to help advancing humanity and improve the world around us. In just four years, we have raised a total of $120 million and have built a world-class team of 220+ employees (including 49+ PhDs with more than 40,000 citations), both remotely from 17 different countries and with offices in Belgium, France, Switzerland, Italy, the UK, headquartered at the High Tech Campus in Eindhoven, Netherlands. We have also launched our Metis™ AI Platform, which achieves a 3-5x increase in efficiency and performance, and have visibility into a strong business pipeline exceeding $100 million. Our unwavering commitment to innovation has firmly established us as a global industry pioneer. Are you up for the challenge? Position Overview As a Logical Design Engineer, you will join a team responsible for the micro-architecture, implementation and execution of in-house designed AI products. Your role will be critical in achieving the highest level of quality and performance as well as ensuring continued innovation in both design and design flow. This is an opportunity to work with cutting-edge technology and a dedicated team of professionals who share your passion for pushing the boundaries of what's possible. Key responsibilities: Collaborate with cross-functional teams to clarify and comprehend intricate design specifications and requirements. Architect and implement advanced micro-architectures from high-level specifications for silicon components, adhering to performance, power, and area (PPA) metrics. Employ industry-standard design tools and methodologies to fashion and optimize digital logic circuits. Conduct block and system-level RTL coding, ensuring optimal performance, power, and area (PPA) metrics. Integrate various IPs/Sub IPs into the top-level SoC. Perform static checks (lint, cdc, equivalence checks) to enhance the quality of the RTL. Automate tasks using scripting for efficiency gains. Undertake comprehensive functional verification and collaborate closely with verification engineers to ensure the correctness of the design. Actively engage in design reviews, contributing technical expertise to enhance overall design quality. Work collaboratively with physical design engineers to address design-for-manufacturability (DFM) and design-for-test (DFT) considerations. Qualifications / skills Education: A degree in electronics engineering, electrical engineering or computer science or other relevant discipline. Experience: A minimum of 5 years of experience and proven expertise in silicon logical design, with a successful track record in RTL coding and synthesis, digital design, SoC, and integration of 3rd-party IPs (PCIe, LPDDR), with fluency in Verilog. Expertise: Mastery of industry-standard Electronic Design Automation (EDA) tools for design and verification. Deep understanding of intricate digital design principles, covering clock domain crossing, low-power design, and timing closure. Scripting: Proficiency in scripting languages such as Python, shell or Tcl for automation. Collaboration / Team Player: Demonstrated ability to work closely with architecture, verification, physical design and software teams to ensure comprehensive verification coverage. Problem Solving: Strong analytical and problem-solving skills. Communication: Excellent written and verbal communication skills in English. Comfortable working with a team spread across 15 countries. Location We offer a flexible working arrangement, with options to: Work from one of our Axelera AI offices (Leuven in Belgium, Amsterdam and Eindhoven in the Netherlands, Zurich in Switzerland, Florence and Milan in Italy or Bristol in the United Kingdom) if you're already based in the vicinity. Work fully remotely from any European country (incl. the UK) you are already in. Relocate with us and work from Italy (Florence or Milan) or the Netherlands (Amsterdam or Eindhoven). What we offer This is your chance to shape and be part of a dynamic, fast-growing, international organization. We offer an attractive compensation package, including a pension plan, extensive employee insurances and the option to get company shares. An open culture that supports creativity and continual innovation is awaiting you. Collaborative ownership and freedom with responsibility is characteristic for the way we act and work as a team. At Axelera AI, we wholeheartedly embrace equal opportunity and hold diversity in the highest regard. Our steadfast commitment is to cultivate a warm and inclusive environment that empowers and celebrates every member of our team. We welcome applicants from all backgrounds to join us in shaping the future of AI.

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 _.

Scripting and automation capability, particularly in Python, to build internal tooling, automate security checks, and reduce reliance on manual processes across the security function. You will work as the direct counterpart to our GRC-focused InfoSec Manager, owning the engineering and implementatio

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

Location: Cheltenham, UK (Remote) Team: Product & Engineering Employment Type: Full-Time VulnCheck is transforming vulnerability intelligence by helping security teams act faster and with more confidence. Our platform delivers early, high-quality exploit intelligence, deep asset correlation, and contextual insights to help organizations stay ahead of emerging threats. We’re looking for a Senior Software Engineer to design, build, and scale the core systems that power VulnCheck’s vulnerability intelligence platform. This is a high-impact, hands-on role where you’ll own critical services and data pipelines end-to-end—from design through production. You’ll play a key role in shaping architecture, improving system performance and reliability, and delivering features that directly impact customers. While you’ll help resolve production issues, your focus will be on building durable, scalable solutions that prevent them. This is a 100% remote role but we're primarily looking for candidates based in Cheltenham, United Kingdom. What You’ll Do • Design and build scalable backend systems, APIs, and data pipelines, • Own services end-to-end, including architecture, development, deployment, and operation, • Lead technical design discussions and contribute to system architecture decisions, • Write high-quality, maintainable code and drive engineering best practices, • Debug complex production issues and implement long-term, scalable solutions, • Improve system performance, reliability, and observability across the platform, • Partner closely with Product, Data, and other Engineering teams to deliver impactful features, • Mentor junior engineers and contribute to a strong engineering culture, • Participate in incident response and on-call rotations What You’ll Bring • 5+ years of experience building and scaling backend systems as a software engineer, • Strong programming skills in one or more languages (Python, Go, Java, etc.), • Experience designing distributed systems and working with microservices architectures, • Deep understanding of APIs, system design, and cloud infrastructure (AWS preferred), • Experience working with data pipelines, ETL systems, or high-volume data processing, • Proven ability to debug and optimize production systems, • Strong ownership mindset with the ability to lead projects independently, • Excellent communication skills and ability to collaborate cross-functionally Preferred Qualifications • Experience in cybersecurity, vulnerability management, or threat intelligence, • Familiarity with CVE, NVD, KEV, or exploit intelligence datasets, • Experience with streaming systems or real-time data processing, • Background in high-growth or startup environments We believe people do their best work when they feel supported, trusted, and valued. VulnCheck offers benefits designed to meet a wide range of needs and lifestyles: • Unlimited PTO, • 401k plan with 100% match on first 3%, then 50% of the next 3-5% of compensation, • Comprehensive healthcare coverage, • Generous paid parental leave, • Remote friendly environment with flexibility, • Expense reimbursement for Cell Phone & Internet, • Ongoing professional development, coaching, and learning resources, • Opportunities for career advancement within a fast-growing team Built on over two decades of cybersecurity experience, our team of experts understands the intricacies of vulnerabilities, their exploitation in the wild, and how to leverage this data to build more effective cybersecurity products that produce better outcomes for organizations. VulnCheck gives organizations a tactical advantage by providing best-in-class exploit & vulnerability intelligence information. We have a sense of duty to protect the critical infrastructure we rely on including medical devices, power grids and telecommunication networks. We were founded in 2021 in Lexington, Massachusetts. VulnCheck has a transparent, collaborative, and supportive culture - we are looking for people who have a growth mindset, are curious and innovative. Our team is smart, but humble, hardworking, and supportive. VulnCheck is proud to be an Equal Employer Opportunity employer. We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. VulnCheck is committed to working with and providing reasonable accommodations to applicants with physical and mental disabilities. *Even if your experience doesn’t perfectly align with the job description, we encourage you to apply—we value potential just as much as a perfect resume.

The Company Nigel Wright Tech are delighted to be working with an established software company in their search for a SQL Developer The Role In this role you will undertake a variety of tasks, including data loading and ETL, working with complex data structures, writing queries/stored procedures, optimising queries and tables, producing reports and creating workflows. Other responsibilities include: • Standard SQL tasks such as table design, query creation, etc, • Ensuring the accuracy, integrity and security of data, • Creating ETL workflows to process large datasets, in a variety of formats, • Troubleshooting database performance issues using tools such as Redgate SQL Monitor, SSMS query store, • Designing and delivering reports on big datasets The Requirements Key Requirements include: • Experience of designing and implementing solutions which involve big datasets, • Strong SQL/T-SQL experience, • Ability to analyse and understand complex data structures, • Experience in writing and troubleshooting complex queries, stored procedures, functions, etc, • Experience with ETL, • Cloud database technologies or Python skills would be beneficial

About Keyrock Since our beginnings in 2017, we've grown to be a leading change-maker in the digital asset space, renowned for our partnerships and innovation. Today, we rock with over 180 team members around the world. Our diverse team hails from 42 nationalities, with backgrounds ranging from DeFi natives to PhDs. Predominantly remote, we have hubs in London, Brussels, Singapore and Paris, and host regular online and offline hangouts to keep the crew tight. We are trading on more than 80 exchanges, and working with a wide array of asset issuers. As a well-established market maker, our distinctive expertise led us to expand rapidly. Today, our services span market making, options trading, high-frequency trading, OTC, and DeFi trading desks. But we’re more than a service provider. We’re an initiator. We're pioneers in adopting the Rust Development language for our algorithmic trading, and champions of its use in the industry. We support the growth of Web3 startups through our Accelerator Program. We upgrade ecosystems by injecting liquidity into promising DeFi, RWA, and NFT protocols. And we push the industry's progress with our research and governance initiatives. At Keyrock, we're not just envisioning the future of digital assets. We're actively building it. Mission statement We're seeking a skilled Quantitative Rust Engineer ready to shape the trajectory of our Prop Trading desk. You'll be embedded within our trading team, taking the lead in designing and improving essential infrastructure for trade execution, signal generation, model development, and strategy validation through backtesting. This is a perfect role for a proactive individual who excels in a rapidly evolving landscape and is passionate about pioneering new solutions. Working close with traders to develop new market making algo will require 2 days a week in person face time with traders. Job description You'll drive the full software development process for trading strategies: defining engineering needs and implementing new strategies, and then actively managing their live performance against backtested results. Collaborate closely with the business, constantly exchanging ideas with traders to implement new features and improve our established strategies. You will be the dedicated specialist responsible for pioneering trading strategies. Background and experience A minimum of 5 years focussed on developing components within front-office trading systems Proven ability in designing robust systems and optimising for minimal latency Direct experience working with Crypto, Foreign Exchange (FX), or equity products Strong proficiency in Rust and Python A solid mathematical background The drive and capability to own initiatives from initial idea through to successful completion and iteration Prior involvement in pricing strategies and their practical application in trading Expertise in the realm of quantitative research and machine learning Demonstrable experience in developing and deploying low-latency solutions Our recruitment philosophy We value self-awareness and powerful communication skills in our recruitment process. We seek fiercely passionate people who understand themselves and their career goals. We're after those with the right skills and a conscious choice to join our field. The perfect fit? A crypto enthusiast who’s driven, collaborative, acts with ownership and delivers solid, scalable outcomes. Our offer A competitive salary package Autonomy in your time management thanks to flexible working hours and the opportunity to work remotely The freedom to create your own entrepreneurial experience by being part of a team of people in search of excellence As an employer we are committed to building a positive and collaborative work environment. We welcome employees of all backgrounds, and hire, reward and promote entirely based on merit and performance. Due to the nature of our business and external requirements, we perform background checks on all potential employees, passing which is a prerequisite to join Keyrock. _

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

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

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

Data Software Engineer (Python PySpark) Remote UK to £95k. Are you a data savvy Software Engineer with strong Python coding skills?. You have a software engineering background with advanced Python and PySpark coding skills.

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

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

Senior C++ Software Engineer required for 12 to 18 month contract working on a development of an edge processing solution aimed at transforming data for fiber optic sensors to actionable insights through algorithms. This contract is outside IR35 and would suit a skilled and experienced C++ Software Engineer with experience of server side C++ applications and databases, interfacing Front End Systems and Python modules. The role requires the following technical skills and experience - · Strong knowledge of modern C++ (C17+) · Experience with Python/Matlab; data signal processing, geophysics, seismicity · Knowledge and understanding of service architectures; REST APIs, WebSocket, databases, containers, cloud services (AWS, Azure). · Understanding and expertise in modern software development; version control (Git), bug tracking, test frameworks, documentation and design, dev-ops/containers etc. · Familiarity with modern frontend concerns; Javscript, Svelte, Typescript,Angular. · Excellent problem-solving skills, the ability to design scalable systems, and experience in agile methodologies. The client is based in just north of London, candidates can work remotely, but ideally should be in or around Central or North London and able to get to Elstree for meetings as required. This is a great long term contract opportunity for a Senior C++ Software Engineer to work on a cutting edge platform. You should have very technical communication skills, and be able to contribute to system architecture, code optimization, troubleshooting issues and working in a small development team.

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

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

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 _.

At Air Apps, we believe in thinking bigger—and moving faster. We’re a family-founded company on a mission to create the world’s first AI-powered Personal & Entrepreneurial Resource Planner (PRP), and we need your passion and ambition to help us change how people plan, work, and live. Born in Lisbon, Portugal in 2018—and now with offices in both Lisbon and San Francisco—we’ve remained self-funded while reaching over 100 million downloads worldwide. Our long-term focus drives us to challenge the status quo every day, pushing the boundaries of AI-driven solutions that truly make a difference. Here, you’ll be a creative force, shaping products that empower people across the globe. Join us on this journey to redefine resource management—and change lives along the way. As a Data Analyst at Air Apps, you will be responsible for analyzing and interpreting data to drive business insights and optimize product performance. You will create reports, dashboards, and performance metrics to help teams make informed decisions and improve user experience. This role requires a data-driven mindset, strong analytical skills, and experience with visualization tools to turn complex data into actionable insights. This is a fully onsite position, based at our office in Lisbon, where you will collaborate closely with cross-functional teams in person and contribute to a dynamic and fast-paced environment. We are open to support with relocation efforts. Analyze user behavior, product performance, and key business metrics to identify trends and opportunities. Create and maintain interactive dashboards and reports using tools like Tableau, Looker, Power BI, or Google Data Studio. Collect, clean, and structure large datasets to ensure accuracy and usability. Define and track KPIs for marketing, product, and business performance. Work with SQL, Python, or R to extract, analyze, and manipulate data. Collaborate with product managers, engineers, and marketing teams to provide data-driven insights. Conduct A/B testing and experiment analysis to improve product features and user engagement. Identify bottlenecks and opportunities in user journeys and customer funnels. Present findings in a clear and compelling way to stakeholders and leadership teams. Stay up to date with industry trends, analytics best practices, and emerging data tools. Around 3+ years of experience in data analysis, business intelligence, or a related field. Proficiency in SQL for data querying and manipulation. Experience with data visualization tools (Tableau, Looker, Power BI, Google Data Studio). Strong analytical skills with experience in Python or R for data analysis. Knowledge of A/B testing methodologies and statistical analysis. Experience with Google Analytics, Mixpanel, Amplitude, or similar user analytics tools. Strong problem-solving skills and ability to communicate insights to non-technical stakeholders. Experience working with large datasets and cloud-based data warehouses (BigQuery, Redshift, Snowflake). Familiarity with ETL processes and data pipeline optimization is a plus. Ability to work in a fast-paced, data-driven environment and manage multiple projects. Apple hardware ecosystem for work. Annual Bonus Top-tier Health and Life Insurance for peace of mind. Transportation Budget to support your commute needs. Coverflex benefits package for meal allowances, well-being, and more. Childcare support. Air Conference - an opportunity to meet the team, collaborate, and grow together. Pension Fund to support your long-term financial planning. Urban Sports Club membership to keep you active. Meals 100% free at the hub. At Air Apps, we are committed to fostering a diverse, inclusive, and equitable workplace. We enthusiastically welcome applicants from all backgrounds, experiences, and perspectives. We celebrate diversity in all its forms and believe that varied voices and experiences make us stronger. At Air Apps, we value transparency and integrity in our hiring process. Applicants must submit their own work without any AI-generated assistance. Any use of AI in application materials, assessments, or interviews will result in disqualification.

This is a job that Jill, our AI Recruiter, is recruiting for on behalf of one of our customers. She will pick the best candidates from Jack's network The next step is to _. Job Title: Full-Stack / Platform Engineer Salary: £90k + Equity Company Description: Handshaik - AI-native company intelligence platform backed by BigChange founder Martin Port. Job Description: Join a high-growth startup as a foundational engineer building an AI-native platform for M&A and private equity. You will own the entire technical lifecycle—from architecting Python/FastAPI backends and React frontends to managing AWS infrastructure and integrating LLMs via Bedrock. This role offers direct influence over the company’s technical future. Location: London, UK Why this role is remarkable: Significant ownership as a foundational hire, working directly with the CTO and founders to define engineering standards and product roadmap. High-performance technical stack involving AI-driven search, vector databases (pgvector), and agent-based workflows at the frontier of dealmaking technology. Strong commercial backing from the BigChange ecosystem and Cambridge AI researchers, moving rapidly toward product-market fit with active early customers. What you will do: Design, build, and operate a production SaaS platform using Python (FastAPI), React, and PostgreSQL, ensuring high performance and security. Architect and scale cloud infrastructure on AWS using Terraform, ECS, and Lambda while maintaining multi-tenant security and ISO 27001 standards. Develop and optimize hybrid search capabilities and data pipelines, integrating LLMs to automate complex research tasks for dealmakers. The ideal candidate: 7+ years of experience building and shipping production-grade systems in startup or small-company environments with a strong bias for action. Expert proficiency across the full stack, specifically Python, React/TypeScript, PostgreSQL, and hands-on AWS infrastructure management. Proven ability to make sound architectural decisions independently and a genuine enthusiasm for leveraging AI to solve fragmented manual workflows. Who are Jack & Jill? Ok, I'll go first. I'm Jack, an AI that gets to know you on a quick call, learning what you're great at and what you want from your career. Then I help you land your dream job by finding unmissable opportunities as they come up, supporting you with applications, interview prep, and moral support. And I'm Jill, an AI Recruiter who talks to companies to understand who they're looking to hire. Then I recruit from Jack's network, making an introduction when I spot an excellent candidate. Next steps Step 1. Visit _. Step 2. Click 'Talk to Jack'. Step 3. Talk to Jack so he can understand your experience and ambitions. Step 4. Jack will make sure Jill (the AI agent working for the company) considers you for this role. Step 5. If Jill thinks you're a great fit and her client wants to meet you, they will make the introduction. Step 6. If not, Jack will find you excellent alternatives. All for free. We never post fake jobs This isn't a trick. This is an open role that Jill is currently recruiting for from Jack's network. Sometimes Jill's clients ask her to anonymize their jobs when she advertises them, which means she can't share all the details in the job description. We appreciate this can make them look a bit suspect, but there isn't much we can do about it. Give Jack a spin! You could land this role. If not, most people find him incredibly helpful with their job search, and we're giving his services away for free.

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 _

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.