Be at the heart of actionFly remote-controlled drones into enemy territory to gather vital information.

Apply Now

Consultant

d-fine
London
1 year ago
Applications closed

Related Jobs

View all jobs

Consultant Data Analyst

Curriculum Consultant - Data Engineering

Curriculum Consultant - Data Engineering

Curriculum Consultant - Data Engineering

Curriculum Consultant - Data Engineering

Curriculum Consultant - Data Engineering

Consultant
from the fields of physics, mathematics, computer science, natural sciences, engineering or economics

Contract Period:permanent
Working Time:full-time
Location:London, everywhere in the UK and international
Entry Date:all year around (depending on availability)

d-fine is a continuously growing European consulting company with over 1, employees. Our London office in the heart of the City was established in to deliver services to our clients in the UK and Ireland. Our projects focus on quantitative challenges in software engineering, data analytics, financial risk management, data science, and the development of sustainable technological solutions. d-fine’s consulting approach is based on years of practical experience and dynamic teams with an analytical and technological focus.

Job description

Design of models, methods and processes in both the private and public sectors Software and data engineering, using agile methodologies and full-stack development Development and operationalisation of data-driven models Business analyses and simulations Design, implementation and validation of risk models Use of modern technologies such as machine learning or big data solutions Technical analysis and implementation of regulatory requirements Analysis, design and digitalisation of processes Selection, parameterisation and integration of systems

Requirements

Outstanding university degree (Master/PhD) in physics, mathematics, computer science or natural, engineering or economic sciences with a corresponding quantitative, analytical or technological specialisation English language proficiency Possess significant IT knowledge coupled with strong programming skills, including understanding of the underlying concepts Familiar with at least one of the following subjects: mathematical statistics, numerical analysis, simulation techniques (e.g. Monte Carlo), optimisation methods (e.g. simulated annealing), and financial mathematical modelling Motivated to work on challenging applied quantitative issues requiring both, business understanding and technological expertise Ability to work well in a team Ability to communicate effectively with peers as well as with senior employees of d-fine and our clients Work experience in trading, treasury or risk management may be an additional advantage

We offer

Interesting and varied projects across Europe A competitive salary The opportunity to work with highly talented and motivated colleagues The chance to work with a wide range of clients from specialized hedge funds and industrial conglomerates to banking institutions The option to extend your expertise of financial mathematics through participation in courses at leading international universities A wide range of additional benefits such as company pension scheme, private medical, remote working policy, company events and much more!

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.

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.

Why Machine Learning Careers in the UK Are Becoming More Multidisciplinary

Machine learning (ML) has moved from research labs into mainstream UK businesses. From healthcare diagnostics to fraud detection, autonomous vehicles to recommendation engines, ML underpins critical services and consumer experiences. But the skillset required of today’s machine learning professionals is no longer purely technical. Employers increasingly seek multidisciplinary expertise: not only coding, algorithms & statistics, but also knowledge of law, ethics, psychology, linguistics & design. This article explores why UK machine learning careers are becoming more multidisciplinary, how these fields intersect with ML roles, and what both job-seekers & employers need to understand to succeed in a rapidly changing landscape.

Machine Learning Team Structures Explained: Who Does What in a Modern Machine Learning Department

Machine learning is now central to many advanced data-driven products and services across the UK. Whether you work in finance, healthcare, retail, autonomous vehicles, recommendation systems, robotics, or consumer applications, there’s a need for dedicated machine learning teams that can deliver models into production, maintain them, keep them secure, efficient, fair, and aligned with business objectives. If you’re hiring for or applying to ML roles via MachineLearningJobs.co.uk, this article will help you understand what roles are typically present in a mature machine learning department, how they collaborate through project lifecycles, what skills and qualifications UK employers look for, what the career paths and salaries are, current trends and challenges, and how to build an effective ML team.