Senior Frontend Engineer

Sprout.ai
London
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer

Senior Backend Engineer - Data Engineer

Software Engineer

Senior Data Engineer

Senior Software Engineers

IT Technical Lead

Salary banding: £70,000 - £85,000 dependent on experience

Working pattern: 1-2 days per week in office

Location: London

About our Engineering Team

As a business which has AI at its core, we need to have a reliable, scalable and secure real-time ML platform to deliver our product to customers. The Engineering team makes this happen.

The team is UK-based, with a significant contingent in London, and is made up of pragmatic, curious and collaborative problem-solvers who are passionate about working with our Data Scientists to build state of the art AI products. Our Software Engineers bring together a diverse range of expertise and backgrounds; what unites us is a desire to learn, a mastery of our discipline and strong technical prowess.

Our engineers are responsible for all aspects of the software development lifecycle. You will get the opportunity to work across our entire stack building features which deliver AI capabilities to some of the biggest names in the insurance industry.

We are developing a modern real-time ML platform using technologies like React, Typescript, Python, PyTorch, Ray, k8s (helm + flux), Terraform, Postgres and Flink on AWS. We are very big fans of Infrastructure-as-Code and enjoy Agile practices. 

As a team, we're driven by a relentless focus on delivering real value to customers at speed. We embrace modern engineering practices such as automated testing, continuous monitoring, feature flags, and on-demand production-like environments to support frequent, reliable releases.

Our team is tackling several exciting challenges, including:

  • Build out new exciting product features that broaden our product scope to newer challenges
  • Building a real-time config driven user interface toolbox that seamlessly adapts to diverse customer needs
  • Deploying all changes, including complex machine learning models, reliably to customers within 15 minutes with fully automated tests
  • Centralised reporting/metrics for both the business and our customers

Responsibilities

  • Build high-quality UIs: Develop responsive, accessible (WCAG), secure, and performant user interfaces using React and TypeScript.
  • Own our frontend stack: Maintain and improve parts of our frontend architecture, champion best-in-class engineering practices, and drive technical excellence.
  • Testing & QA: Write comprehensive unit, integration, and end-to-end tests, ensuring features are shipped with confidence.
  • Review & refine: Participate in code reviews and continuously improve our processes, tooling, and engineering standards.
  • Release at speed: Use feature flags, metrics, logs, and alerting to manage multiple releases per day and ensure smooth rollouts for our customers.

Minimum Requirements

Technical proficiency

  • Proven track record of buildingcustomer-centricandhigh-performing web applications/SPAs
  • Strong principles inTypeScriptandReact
  • Experience inreact-queryorRedux
  • Strong grasp of Web fundamentals:HTML5, CSS, ES6+
  • Proficient inChrome Developer Toolsor equivalent
  • Experience with testing frameworks, such as,Jest, Vitest, Playwright, Cypressetc
  • Understanding of build tools such asVite, Webpacketc
  • Understanding ofCI/CDplatforms and workflows

Software Development Lifecycle

  • We also expect a solid understanding of modern software development lifecycles. Code & tests, pull requests, code reviews, CI/CD, QA and production releases in an agile, rapidly changing environment 

Collaboration and Ownership

  • Strong problem-solving skills and the ability to think critically and creatively
  • Naturally collaborative, with excellent communication and teamwork abilities
  • Self-motivated with a strong sense of ownership and accountability

Nice-to-Haves (but don't worry too much about these)

  • Familiarity with backend languages likePythonorNode.js
  • Experience withPostgresor other RDBMS
  • BuildingRESTful APIs(e.g., FastAPI)
  • Understanding of or experience with machine learning workflows and tooling

Sprout.ai Values

Hungry for Growth- Unleash your inner Sprout: Sprouts embrace growth, forget comfort zones, and help Sprout.ai thrive.

Own It, Deliver It- We commit, we deliver, and we exceed expectations - it's how we achieve outstanding outcomes for our customers.

Seed Innovation- The future is shaped by those who dare to innovate. We embrace this mindset, planting the seeds for future growth, experimenting fearlessly and taking bold actions that unleash our ability to scale.

Collaborate to Blossom- We cultivate collaboration, working together to create a vibrant and diverse ecosystem where every Sprout can thrive. It drives better results, and creates a better environment for us all.

Engineering Values

In addition to our company values, these are some of the values within the Engineering team that define how we work and grow together:

Value-Driven Development: We avoid premature optimisation and focus on delivering value to our customers based on known requirements.

Proactive Mindset: We embrace the philosophy of asking for forgiveness rather than permission, encouraging innovation and swift action.

Efficient Decision-Making: We optimise towards faster decision-making processes, distinguishing between reversible (two-way doors) and irreversible (one-way doors) decisions.

Equality of Opportunity: We strive to provide equality of opportunity for all team members, regardless of title or position, fostering a collaborative and inclusive environment.

Compensation, benefits and perks

  • Salary banding: £70,000 - £85,000 dependent on experience. Annual pay reviews.
  • Sprout.ai Share Options
  • 28 days’ annual leave (plus bank holidays)
  • Hybrid working with up to 4 days per week working from home
  • Private Health Insurance + Dental Insurance
  • Learning and Development budget
  • Monthly socials, both in London and Virtual
  • WeWork perks - barista, social events, snacks etc.
  • Macbook Pro + home working setup

About Sprout.ai

Sprout.ai was established in London, UK in 2018 with a mission to help people in their time of need when making an insurance claim. Inefficient claims processing for the insurer meant that customer experience was suffering and people were losing faith in their insurance policies. The average insurance customer was having to wait over 25 days to receive an outcome on their claim, often in times of vulnerability.

The barriers to rapid claims settlement were clear; understanding of unstructured data, complexity and volume of decision making, legacy systems and processes.

Sprout.ai’s patented claims automation platform solves these challenges, and has already delivered instant claims settlement on millions of insurance claims around the world. Our proprietary AI products can automate every step of the claims journey: extracting and enhancing relevant claims data, cross-checking this with policies and providing recommendations to conclude a claim in near real-time. Our tools are allowing claims handlers to spend more time with customers, where human touch and empathy can make the most difference to their customers.

Leading VCs saw our company vision to ‘make every claim better’ and have supported our growth journey. This includes our $11M Series A led by Octopus Ventures in 2021 and in total we have raised over $20M.

Get the latest insights and jobs direct. Sign up for our newsletter.

By subscribing you agree to our privacy policy and terms of service.

Industry Insights

Discover insightful articles, industry insights, expert tips, and curated resources.

Contract vs Permanent Data Science Jobs: Which Pays Better in 2025?

Data science sits at the intersection of statistics, machine learning, and domain expertise, driving crucial business decisions in almost every sector. As UK organisations leverage AI for predictive analytics, customer insights, and automation, data scientists have become some of the most in-demand professionals in the tech job market. By 2025, data scientists with expertise in deep learning, natural language processing (NLP), and MLOps are commanding top-tier compensation packages. However, deciding whether to become a day‑rate contractor, a fixed-term contract (FTC) employee, or a permanent member of an organisation can be challenging. Each path offers a unique blend of earning potential, career progression, and work–life balance. This guide will walk you through the UK data science job market in 2025, examine the differences between these three employment models, present sample take‑home pay scenarios, and offer strategic considerations to help you determine the best fit for your career.

Data Science Jobs for Non‑Technical Professionals: Where Do You Fit In?

Beyond Jupyter Notebooks Ask most people what a data‑science career looks like and they’ll picture Python wizards optimising XGBoost hyper‑parameters. The truth? Britain’s data‑driven firms need storytellers, strategists, ethicists and project leaders every bit as much as they need statisticians. The Open Data Institute’s UK Data Skills Gap 2024 places demand for non‑technical data talent at 42 % of all data‑science vacancies—roles focused on turning model outputs into business value and trustworthy decisions. This guide highlights the fastest‑growing non‑coding roles, the transferable skills many professionals already have, and a 90‑day action plan to land a data‑science job—no pandas required.

McKinsey & Company Data‑Science Jobs in 2025: Your Complete UK Guide to Turning Data into Impact

When CEOs need to unlock billion‑pound efficiencies or launch AI‑first products, they often call McKinsey & Company. What many graduates don’t realise is that behind every famous strategy deck sits a global network of data scientists, engineers and AI practitioners—unified under QuantumBlack, AI by McKinsey. From optimising Formula One pit stops to reducing NHS wait times, McKinsey’s analytics teams turn messy data into operational gold. With the launch of the McKinsey AI Studio in late 2024 and sustained demand for GenAI strategy, the firm is growing its UK analytics headcount faster than ever. The McKinsey careers portal lists 350+ open analytics roles worldwide, over 120 in the UK, spanning data science, machine‑learning engineering, data engineering, product management and AI consulting. Whether you love Python notebooks, Airflow DAGs, or white‑boarding an LLM governance roadmap for a FTSE 100 board, this guide details how to land a McKinsey data‑science job in 2025.