National AI Awards 2025Discover AI's trailblazers! Join us to celebrate innovation and nominate industry leaders.

Nominate & Attend

Python/ Java Software Developer

Eka Finance
London
11 months ago
Applications closed

Related Jobs

View all jobs

Principal Applied Data Scientist

Machine Learning Engineer (London)

Machine Learning Expert

Machine Learning Engineer

Machine Learning Engineer

Machine Learning Engineer

T Posted byRecruiterLeading systematic fund are hiring a Python and Java Software Developer.

Role:-

Assisting in development of a high-performance trading and simulation platform Assisting in development of micro-services that live on-prem and in the cloud, these services will be written predominantly in Java and Python Developing systems, interfaces and tools to historical market data and trading simulations that increase research productivity Assisting in development and optimizing cloud-based parallelputation problems that requires large quantities of data shared across resources Design and implement integrated monitoring and alerting services as well as new workflows Actively contribute to CI/CD infrastructure to constantly improve the design, development, testing, and deployment of software Design and implement big data analytics solutions to collect, transform and use data for autonomous decision making and process improvements Effectivelymunicate with other teams and stakeholders

Requirements:-

1-3+ years of practical hands-on experience with Python and Java 1-3+ years of experience designing and writing test plans, test cases, and test datasets Strong knowledge of object-oriented methodologies, design patterns, database application design, application development and maintenance Strong emphasis on unit and integration testing Experience working with a variety of databases (SQL, PostgreSQL, NoSQL etc.) Brilliant detail orientated problem-solving abilities Experience of a DevOps environment Experience working in Linux environment

Skills Desired:-

Curious, creative and independent mind demonstrated by evidence of contribution to open source software, entrepreneurial like ventures, projects etc A passion for innovation with examples of building something from the ground up Passionate about test-driven development Strongmunication skills in English for business purposes Self-starter attitude with the ability to work independently and own problems The ability to manage multiple tasks and make decisions in a fast-paced environment An interest and some exposure to machine learning and largeputational optimization problems Interest in learning about financial markets and cutting edge trading technologies

Apply:-

Job ID TK

National AI Awards 2025

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.

How to Present Machine Learning Solutions to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

Machine learning is driving change across nearly every industry—from retail and finance to health and logistics. But while the technology continues to evolve rapidly, the ability to communicate it clearly has become just as important as building the models themselves. Whether you're applying for a junior ML engineer role, a research position, or a client-facing AI consultant job, UK employers increasingly expect candidates to explain complex machine learning solutions to non-technical audiences. In this guide, you’ll learn how to confidently present your work, structure your message, use simple visuals, and explain the real-world value of machine learning in a way that makes sense to people without a background in data science.

Machine Learning Jobs UK 2025: 50 Companies Hiring Now

Bookmark this page—we refresh the Hotlist every quarter so you always know who’s really scaling their ML teams. The UK’s National AI Strategy, a £2 billion GenAI accelerator fund and a record flow of private capital have kicked ML hiring into overdrive for 2025. Whether you build production‑grade LLM services or optimise on‑device models for edge hardware, employers need your skills now. Below you’ll find 50 organisations that advertised UK‑based machine‑learning vacancies or announced head‑count growth during the past eight weeks. They’re grouped into five quick‑scan categories so you can jump straight to the type of employer—and mission—that excites you. For each company we list: Main UK hub Example live or recent vacancy Why it’s worth a look (stack, impact, culture) Search any employer on MachineLearningJobs.co.uk to see real‑time adverts, or set a free alert so fresh openings drop straight in your inbox.

Return-to-Work Pathways: Relaunch Your Machine Learning Career with Returnships, Flexible & Hybrid Roles

Returning to work after an extended break can feel like starting from scratch—especially in a specialist field like machine learning. Whether you paused your career for parenting, caring responsibilities or another life chapter, the UK’s machine learning sector now offers a variety of return-to-work pathways. From structured returnships to flexible and hybrid roles, these programmes recognise the transferable skills and resilience you’ve developed, pairing you with mentorship, upskilling and supportive networks to ease your transition back. In this guide, you’ll discover how to: Understand the current demand for machine learning talent in the UK Leverage your organisational, communication and analytical skills in ML contexts Overcome common re-entry challenges with practical solutions Refresh your technical knowledge through targeted learning Access returnship and re-entry programmes tailored to machine learning Find roles that fit around family commitments—whether flexible, hybrid or full-time Balance your career relaunch with caring responsibilities Master applications, interviews and networking specific to ML Learn from inspiring returner success stories Get answers to common questions in our FAQ section Whether you aim to return as an ML engineer, research scientist, MLOps specialist or data scientist with an ML focus, this article will map out the steps and resources you need to reignite your machine learning career.