Senior Software Engineer

ComplyAdvantage
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Software Engineer, Data Science Infra & Optimization

Senior Software Engineer (Computer Vision, C++)

Senior Computer Vision Algorithms Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

What you will be doing: We are looking for driven, talented Senior Software Engineers to help us build our SaaS-based anti-money laundering solutions, which help organizations fight financial crime We are building cutting-edge solutions that help reveal the truth for a safer world and stop money from ending up in the hands of criminals. As a Senior Software Engineer, you will: Be working alongside our ML engineers, data scientists, and other software engineers within the tribe Write new features that enable our platform to understand articles in the media, extract information about individuals, apply ML models to categorize their actions, and merge all this with existing data we hold. Your work will allow our customers to find out who has done something bad, what they did, and when Join one of our scrum teams and help us make the right technical and architectural decisions as we evolve and scale our systems. As a Senior, we will look to you to sometimes take a lead in these discussions and bring your own ideas as well as solicit and incorporate ideas from others in the team Write tests, and take ownership of the systems that ensure the quality of our code Coach others in the team, sharing best practices and mentoring them Our Tech Stack: Our technology stack is designed to run on public cloud architectures, notably AWS and GCP Development is organised around Kotlin and Python for our backend languages and TypeScript/ES6React for our frontend stack We make substantial use of relational database technologies, notably Postgres and also use of large scale noSQL technologies such as Cassandra For our data and AI teams, experience of machine learning development and very large scale columnar data stores (e.g. Apache HBase, Databricks) is key, as well as experience of large scale data streaming technologies such as Apache Spark, graph databases (e.g. Neo4j, AWS Neptune, TigerGraph) We use modern observability solutions built on Grafana Cloud, and deploy our code using ArgoCD About you: As a Senior Software Engineer, you will have Over 5 years experience writing production-grade Kotlin or Java based applications Awareness of a range of languages and paradigms, with the ability to coach/mentor juniors Experience with high scale applications such as APIs dealing with large request volumes, or data processing pipelines Experience with containerisation and cloud infrastructure Ownership of software from idea inception to production Experience working with tooling for testing, build and deployment pipelines (setting it up is a plus) Working understanding of logging, monitoring and alerting tooling (setting it up is a plus) Good communication and written skills including experience producing technical documentation Nice to haves It would be nice if you had experience working in a multi-disciplinary team (ML Engineers, SREs, Product) Worked in an agile environment and have experience in pair programming Experience of coaching or mentoring more junior members of an engineering team Education: BSc/BA degree in computer science, engineering or related discipline OR relevant years of experience in required skills. What’s in it for you? Equity participation in our innovative mission to combat financial crime Unlimited Time Off Policy to promote work-life balance and well-being We embrace a hybrid approach that requires employees to be in the office for two days a week. We strongly believe that this approach fosters collaboration and enables the building of meaningful relationships Opportunities for collaboration and career development with smart, like-minded professionals Annual learning budget to support professional growth A home office budget to support working from home Enhanced parental leave and childcare benefits Life insurance and medical coverage through BUPA, including pre-existing conditions Pension contribution through The People's Pension About us: ComplyAdvantage is the financial industry’s leading source of AI-driven financial crime risk data and detection technology. Our mission is to neutralise the risk of money laundering, terrorist financing, corruption, and other financial crime. More than 1000 companies rely on us to understand the risk of who they’re doing business with through the world’s only global, real-time database of people and companies. Our solutions identify thousands of risk events daily from millions of structured and unstructured data points. We have five global hubs in New York, London, Singapore, Lisbon and Cluj-Napoca and are backed by Goldman Sachs, Ontario Teachers, Index Ventures, and Balderton Capital. Since 2014, we have raised over $100 million in funding, and in 2022 alone grew by over 40% to over 500 people globally. Over the next 12 months, as our revenue increases, we plan to increase to 600. At ComplyAdvantage diversity fuels our rocket ship and our commitment to inclusion across race, gender, age, religion, identity and experience drives us forward every day. We encourage everyone to apply and aspire to consider every application fairly. We will handle your information in accordance with our Privacy Policy. For further information, please click here.

Subscribe to Future Tech Insights for the latest jobs & insights, direct to your inbox.

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

Industry Insights

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

Maths for AI Jobs: The Only Topics You Actually Need (& How to Learn Them)

If you are a software engineer, data scientist or analyst looking to move into AI or you are a UK undergraduate or postgraduate in computer science, maths, engineering or a related subject applying for AI roles, the maths can feel like the biggest barrier. Job descriptions say “strong maths” or “solid fundamentals” but rarely spell out what that means day to day. The good news is you do not need a full maths degree worth of theory to start applying. For most UK roles like Machine Learning Engineer, AI Engineer, Data Scientist, Applied Scientist, NLP Engineer or Computer Vision Engineer, the maths you actually use again & again is concentrated in a handful of topics: Linear algebra essentials Probability & statistics for uncertainty & evaluation Calculus essentials for gradients & backprop Optimisation basics for training & tuning A small amount of discrete maths for practical reasoning This guide turns vague requirements into a clear checklist, a 6-week learning plan & portfolio projects that prove you can translate maths into working code.

Neurodiversity in AI Careers: Turning Different Thinking into a Superpower

The AI industry moves quickly, breaks rules & rewards people who see the world differently. That makes it a natural home for many neurodivergent people – including those with ADHD, autism & dyslexia. If you’re neurodivergent & considering a career in artificial intelligence, you might have been told your brain is “too much”, “too scattered” or “too different” for a technical field. In reality, many of the strengths that come with ADHD, autism & dyslexia map beautifully onto AI work – from spotting patterns in data to creative problem-solving & deep focus. This guide is written for AI job seekers in the UK. We’ll explore: What neurodiversity means in an AI context How ADHD, autism & dyslexia strengths match specific AI roles Practical workplace adjustments you can ask for under UK law How to talk about your neurodivergence during applications & interviews By the end, you’ll have a clearer picture of where you might thrive in AI – & how to set yourself up for success.

AI Hiring Trends 2026: What to Watch Out For (For Job Seekers & Recruiters)

As we head into 2026, the AI hiring market in the UK is going through one of its biggest shake-ups yet. Economic conditions are still tight, some employers are cutting headcount, & AI itself is automating whole chunks of work. At the same time, demand for strong AI talent is still rising, salaries for in-demand skills remain high, & new roles are emerging around AI safety, governance & automation. Whether you are an AI job seeker planning your next move or a recruiter trying to build teams in a volatile market, understanding the key AI hiring trends for 2026 will help you stay ahead. This guide breaks down the most important trends to watch, what they mean in practice, & how to adapt – with practical actions for both candidates & hiring teams.