Software Engineer (Data Services), London

Engelhart

ABOUT US Engelhart was founded in 2013 by BTG Pactual Group as a commodities trading company. Our business model is “asset light” and highly diversified – giving us the ability to adapt effectively and nimbly to changing market conditions. We have assembled successful multidisciplinary teams, leveraging advanced fundamental analysis with deep quantitative and weather research capabilities.  Our activities are underpinned by strong risk management practices and by powerful technology and operational excellence. We have exceptional teams with diverse global backgrounds and decades of experience, and are driven by a highly collaborative culture, across products and competencies. In 2024, Engelhart acquired Trailstone, a global energy trading and technology company. The acquisition provides us with new expertise, analytics and proprietary technology which is being used to provide risk management and optimisation services to help maximise the value of our clients’ renewable power. The acquisition also expanded Engelhart’s capabilities into physical natural gas across North America, a critical fuel to support the energy transition. Our talented and experienced individuals work together according to its four company values: Performance, Agility, Collaboration, Entrepreneurship. ABOUT THE ROLE  This is an exciting opportunity for a Python Software Engineer with approximately five years of experience to deepen their current expertise in commodities trading, while becoming a key member of our Risk, Finance & Compliance technology function within the Engelhart Technology team.  Operating with a high degree of autonomy and offering direct exposure to stakeholders & business users, this role will give someone the opportunity to take end-to-end ownership of initiatives, from requirements gathering and solution design through to production deployment and ongoing support.   Working in close collaboration with a small, dynamic team, this role provides a unique opportunity to influence Engelhart's technology landscape and deliver initiatives with tangible business impact. This team is delivery-focused, fostering strong collaboration, open technical and business discussions, as well as a culture of continuous improvement. The ultimate objective is to enable informed decision-making across our business through reliable, scalable and well-designed technology solutions.  This Software Engineer with have the following responsibilities;  * Designing, developing, maintaining and enhancing in-house systems, as well as integrations with third-party platforms.  * Working closely with Engelhart's Risk & Finance teams to gain a strong understanding of business requirements, translating them into well-defined technical solutions.  * Providing technical support to Risk, Finance and Front Office users - particularly in the use of shared internal Python libraries, cloud infrastructure and access to enterprise data.  * Contributing to the ongoing evolution of Engelhart's technology platform, including architectural design, identification of improvement opportunities and proposal of scalable solutions.  * Designing and implementing new data visualisations for internal dashboards and reporting tools.  * Performing data cleansing, enrichments and transformation using efficient and scalable tools and techniques.  * Developing and maintaining data integration services and query interfaces for internal consumption.  * Participating in, and contributing to, technology projects that support key business initiatives.    ABOUT YOU  This individual will be a strong Python developer with current experience in a commodities trading environment. In addition to commodities experience, which is an essential criteria to be considered for this role, we believe the following technical skills & experiences will best set someone up for success at Engelhart; Technical Skills: * Strong proficiency in Python, including common analytical and visualisation libraries (e.g. Pandas, NumPy, Plotly).  * Experience building APIs using Python frameworks, preferably FastAPI.  * Familiarity with AWS services such as Lambda, Step Functions, Cognito, ECS/Fargate, DynamoDB, CloudWatch and CDK.  * Familiarity with containerisation and orchestration technologies (Docker, Kubernetes).  * Understanding of parallel and distributed data processing concepts.  Soft Skills: * Strong analytical thinking, logical reasoning and problem-solving abilities.  * A collaborative team player with strong interpersonal skills and experience working with distributed or remote teams.  * Willingness to share knowledge, mentor others and continuously learn from peers.  * Self-motivated and proactive, with the ability to work independently and manage priorities with minimal supervision.  Additional Experiences that are not necessary, but highly desirable: * Experience designing or building event-driven architectures.  * Experience with applying AI tools, large language models and agent-based workflows to improve business processes, developer productivity or data analysis.  * Familiarity with Model Context Protocol servers and related approaches for connecting AI agents securely to internal systems, APIs, databases and business tools.    What we offer  * Competitive compensation and participation in Engelhart’s discretionary bonus plan.  * 25 days of annual holiday entitlement, excluding UK public holidays. * Robust benefits package such as medical, dental, life insurance, generous pension contribution, and supplemental benefits partially subsidised by the Company.   * Eligibility to receive external and internal training in accordance with our Training & Development Policy. We believe in inclusivity and are therefore dedicated to ensuring all employees – across gender identity, race, ethnicity, sexual orientation, religion, life experience, background and more – feel welcome and included in the company. We promote diversity because we believe it is essential to our ability to think holistically.

Winton

ABOUT WINTON Winton is a research-based investment management company with a specialist focus on statistical and mathematical inference in financial markets. The firm researches and trades quantitative investment strategies, which are implemented systematically via thousands of securities, spanning the world's major liquid asset classes. Founded in 1997 by David Harding, Winton today manages assets for some of the world’s largest institutional investors. We employ ambitious professionals who want to work collaboratively at the leading edge of investment management. ----------------------------------------------------------------------------------------------------------------------------------   We are seeking a highly capable Senior Software Engineer to help design, build and evolve resilient, event-driven, cloud-distributed systems. This role is ideal for an engineer who combines deep technical expertise, strong computer science fundamentals, and commercial awareness - someone who not only understands how systems work, but what they are meant to do and why. The role requires a constructive, can-do approach and the ability to operate effectively in a fast-paced setting. You will work across the full engineering lifecycle from system architecture and data modelling to implementation, testing and operational excellence. You will be encouraged to use modern AI-assisted tooling and continuously improve our platforms, while maintaining a pragmatic balance between innovation and delivery. You will be part of a friendly and collaborative broader team responsible for post-trade and reporting software development. The role involves working primarily in the Client Operations space but also directly with business functions across the firm to understand requirements, design and implement solutions. As well as project work, there are regular allocated windows of opportunity for small enhancements for both the business and technology. Your responsibilities will include:  •    Design, evolve and maintain distributed, event-driven systems with high reliability, scalability and observability •    Contribute to technical strategy and long-term platform direction •    Write high-quality, efficient and maintainable code with accompanying automated tests and documentation across UI, services and data storage layers •    Continuously improve existing services, libraries and shared components •    Ensure systems are operable, measurable and resilient, including appropriate monitoring, alerting and failure-handling strategies •    Work closely with product and business stakeholders to translate high-level problems into thoughtful technical solutions •    Collaborate with team through active contribution in code reviews, knowledge-sharing and design discussions •    Build domain knowledge in business and technology areas •    Evaluate new technologies pragmatically •    Contribute to CI/CD pipelines, tooling and infrastructure-as-code What we are looking for: •    A bachelor's or master's degree in a STEM subject •    5+ years of full-time professional software development experience •    Proven experience building and maintaining cloud-distributed, event-driven or microservices-based systems written in enterprise-grade backend technologies such as C#/.NET (preferred) •    Strong computer science fundamentals •    Excellent engineering discipline: clean code, meaningful abstractions, test automation, documentation and version control best practice •    Natural curiosity and enthusiastic about using AI-assisted development tools and integrating them into daily workflow •    Keen interest in keeping aware of latest technologies and a measured approach for adopting them •    Comfortable problem solving across multiple technologies and business domains •    Collaborative nature and ability to work in a team e.g. partnering with business users and technologists •    Ability to have constructive technical discussions What would be useful: •    An interest or experience with Angular and Typescript •    Familiarity with performance-tuning PostgreSQL and/or MSSQL •    Experience in financial services Technologies we use:  •    Web: Angular, TypeScript •    Server-side: C# •    Data: MSSQL, PostgreSQL •    Cloud: AWS •    Deployment: Docker, Kubernetes   ---------------------------------------------------------------------------------------------------------------------------------- EQUAL OPPORTUNITY WORKPLACE We are proud to be an equal opportunity workplace. We do not discriminate based upon race, religion, color, national origin, sex, sexual orientation, gender identity/expression, age, status as a protected veteran, status as an individual with a disability, or any other applicable legally protected characteristics.

Flo Health

500M+ downloads. 80M+ monthly users. A decade of building – and we’re still accelerating. Flo is the world’s #1 health & fitness app worldwide on a mission to build a better future for female health. Backed by a $200M investment led by General Atlantic, we became the first product of our kind to reach a $1B valuation in 2024 – and we’re not slowing down. With 7M paid subscribers and the highest-rated experience in the App Store’s health category, we’ve spent 10 years earning trust at scale. Now, we’re building the next generation of digital health – AI-powered, privacy-first, clinically backed – to help our users know their body better. The job We are looking for a Senior Software Engineer with deep expertise in AI/ML infrastructure to join our AI Platform team and help build the GenAI platform that powers every AI feature at Flo. You will bridge core infrastructure, data engineering, and LLM development to deliver production-grade medical safety judges, fine-tuning pipelines, evaluation frameworks, and real-time personalisation. The team operates 60+ LLM-based evaluation judges, develops proprietary fine-tuned health models, and maintains active partnerships with Databricks, Google, OpenAI, Anthropic, and AWS. What you’ll do * LLM Judge Ecosystem: build and scale Judge-as-a-Service, prompt registries, calibration pipelines, and evaluation orchestration using MLflow 3.x * Fine-Tuning and Serving: develop LoRA/SFT/preference optimisation pipelines for health-domain models (Llama, Gemma, MedGemma) and manage model serving at scale on Databricks * Data and Evaluation Pipelines: build synthetic Q&A generation, golden test sets, reward function engineering, and Delta table schemas in Unity Catalog for reliable, reproducible evaluation data * Infrastructure: maintain Terraform-managed AWS infrastructure (EKS, S3, IAM), Databricks AI Gateway, and CI/CD pipelines (GitHub Actions) with evaluation gates and progressive rollout * Cross-Functional Impact: collaborate with Product, Security, Analytics, and Medical teams, develop internal SDKs and APIs consumed by 5+ teams, and engage directly with technology partners on pre-release capabilities Experience and skills Must have: * Engineering maturity: 7+ years of software engineering, 4+ years focused on ML/AI platforms * LLM experience: recent hands-on work with at least one of: fine-tuning, prompt engineering, LLM evaluation, or model serving * Technical stack: strong Python across production services and data pipelines, data engineering fundamentals (Spark, Delta tables, Parquet) * Platform and infrastructure: Databricks (MLflow, Unity Catalog, Model Serving), AWS (EKS/Kubernetes, IAM), Terraform, GitHub Actions * Cross-domain flexibility: comfort working across ML, data engineering, and infrastructure. You don’t need to be expert in all three, but you contribute wherever the team needs it Nice to have: * LLM evaluation frameworks (judges, graders, calibration methodology) or fine-tuning techniques (LoRA, RLHF/DPO, model distillation) * ML data engineering: synthetic data generation, evaluation dataset design, annotation pipelines * Healthcare, regulated industry, or safety-critical AI systems experience * Prompt optimisation frameworks (DSPy or similar), feature stores (Tecton) #LI-KP1 #LI-Hybrid  Annual Salary Range (ranges may vary based on skills and experience) £120,000—£150,000 GBP How we work We’re a mission-led, product-driven team. We move fast, stay focused and take ownership – from brief to build to impact. Debate is encouraged. Decisions are shared. We care about craft, ship with purpose, and always raise the bar. You’ll be working with people who take their work seriously, not themselves. It takes commitment, resilience, and the drive to keep going when things get tough. Because better health outcomes are worth it.  What you'll get We support impact with meaningful reward. Here’s what that looks like: * Competitive salary and annual reviews * Opportunity to participate in Flo’s performance incentive scheme * Paid holiday, sick leave, and female health leave * Enhanced parental leave and pay for maternity, paternity, same-sex and adoptive parents * Accelerated professional growth through world-changing work and learning support * In-person collaboration and work in a hybrid model, with 3 days per week spent in the office * 5-week fully paid sabbatical at 5-year Floversary * Flo Premium for friends & family, plus more health, pension and wellbeing perks Diversity, equity and inclusion Our strength is in our differences. At Flo, hiring is based on merit, skill and what you bring to the role – nothing else. We’re proud to be an equal opportunity employer, and we welcome applicants from all backgrounds, communities and identities. Read our privacy notice for job applicants.