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

Nominate & Attend

Senior Data Scientist

Complexio
gb
1 month ago
Applications closed

Related Jobs

View all jobs

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Senior Data Scientist

Complexio’s Foundational AI works to automate business activities by ingesting whole company data – both structured and unstructured – and making sense of it. Using proprietary models and algorithms Complexio forms a deep understanding of how humans are interacting and using it. Automation can then replicate and improve these actions independently.

Complexio is a joint venture between Hafnia and Símbolo, in partnership with Marfin Management, C Transport Maritime, Trans Sea Transport and BW Epic Kosan.

Join a dynamic team at the forefront of revolutionising human-machine interaction through generative AI in collaboration with global partners. We are poised to redefine the essence of human-AI collaboration, unlocking hidden patterns and insights in data that were once considered the exclusive domain of human intellect.

We seek a passionate and innovative Data Scientist to contribute to our joint venture, particularly focusing on shipping and other industrial sectors. This is an exciting opportunity to be part of a groundbreaking initiative that aims to redefine industry standards through AI and human-machine collaboration.

Responsibilities:

  • Algorithm Development: Design and implement advanced algorithms for generative AI models that enhance human-machine interaction within the specified industries.
  • Data Analysis: Conduct in-depth analysis of large datasets to derive meaningful insights, trends, and patterns relevant to the joint venture's goals.
  • Model Training and Evaluation: Develop and train generative AI models, ensuring their effectiveness and reliability through rigorous evaluation processes.
  • Collaboration: Collaborating with an elite team, learning and contributing to transitioning from conventional language models to cutting-edge Large Language Models (LLMs) and fine-tuning techniques such as LoRA and QLoRA.
  • Innovation: Stay abreast of the latest advancements in AI and generative models (including open source), proposing and implementing innovative solutions to enhance the capabilities of our technology.
  • Industry Expertise: Acquire a deep understanding of the shipping and industrialised industries to tailor generative AI solutions that address specific challenges and opportunities within these sectors

Requirements

  • Master's or Ph.D. in Data Science, Computer Science, or a related field.
  • Proven experience in developing and implementing generative AI models.
  • Proficient in programming languages such as Python and JavaScript
  • Strong background in statistical analysis, machine learning, and data visualization.
  • Excellent problem-solving skills and the ability to work in a collaborative, cross-functional environment.
  • Demonstrated expertise in handling large datasets and extracting actionable insights.
  • A proven track record working with open-source models, Llama, and AI/NLP across various domains.
  • Mastery of NLP and related libraries.
  • An understanding of business operations and a knack for crafting actionable business insights.

Benefits

  • Join a pioneering joint venture at the intersection of AI and industry transformation.
  •  Work with a diverse and collaborative team of experts from various disciplines.
  •  Opportunity for professional growth and continuous learning in a dynamic field.
  • (Remote must be within 4-5 hours of CET timezone)
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.

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.

LinkedIn Profile Checklist for Machine Learning Jobs: 10 Tweaks to Drive Recruiter Interest

The machine learning landscape is rapidly evolving, with demand soaring for experts in modelling, algorithm tuning and data-driven insights. Recruiters hunt for candidates proficient in Python, TensorFlow, PyTorch and MLOps processes. A generic profile simply won’t cut it. Our step-by-step LinkedIn for machine learning jobs checklist covers 10 targeted tweaks to ensure your profile ranks in searches and communicates your technical impact. Whether launching your ML career or seeking leadership roles, these optimisations will sharpen your professional narrative and boost recruiter engagement.