Python/ Java Software Developer

Eka Finance
London
1 year ago
Applications closed

Related Jobs

View all jobs

Principal Data Engineer

Principal Data Engineer

Senior Data Science Engineer

Machine Learning Engineer (Databricks)

Data Engineer - Tribus

Data Engineer with AI Experience

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

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.

Neurodiversity in Machine Learning Careers: Turning Different Thinking into a Superpower

Machine learning is about more than just models & metrics. It’s about spotting patterns others miss, asking better questions, challenging assumptions & building systems that work reliably in the real world. That makes it a natural home for many neurodivergent people. If you live with ADHD, autism or dyslexia, you may have been told your brain is “too distracted”, “too literal” or “too disorganised” for a technical career. In reality, many of the traits that can make school or traditional offices hard are exactly the traits that make for excellent ML engineers, applied scientists & MLOps specialists. This guide is written for neurodivergent ML job seekers in the UK. We’ll explore: What neurodiversity means in a machine learning context How ADHD, autism & dyslexia strengths map to ML roles Practical workplace adjustments you can ask for under UK law How to talk about neurodivergence in applications & interviews By the end, you’ll have a clearer sense of where you might thrive in ML – & how to turn “different thinking” into a genuine career advantage.

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

As we move into 2026, the machine learning jobs market in the UK is going through another big shift. Foundation models and generative AI are everywhere, companies are under pressure to show real ROI from AI, and cloud costs are being scrutinised like never before. Some organisations are slowing hiring or merging teams. Others are doubling down on machine learning, MLOps and AI platform engineering to stay competitive. The end result? Fewer fluffy “AI” roles, more focused machine learning roles with clear ownership and expectations. Whether you are a machine learning job seeker planning your next move, or a recruiter trying to build ML teams, understanding the key machine learning hiring trends for 2026 will help you stay ahead.

Machine Learning Recruitment Trends 2025 (UK): What Job Seekers Need To Know About Today’s Hiring Process

Summary: UK machine learning hiring has shifted from title‑led CV screens to capability‑driven assessments that emphasise shipped ML/LLM features, robust evaluation, observability, safety/governance, cost control and measurable business impact. This guide explains what’s changed, what to expect in interviews & how to prepare—especially for ML engineers, applied scientists, LLM application engineers, ML platform/MLOps engineers and AI product managers. Who this is for: ML engineers, applied ML/LLM engineers, LLM/retrieval engineers, ML platform/MLOps/SRE, data scientists transitioning to production ML, AI product managers & tech‑lead candidates targeting roles in the UK.