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

Apply Now

Graduate AI & Machine Learning Engineer [Only 24hLeft]...

Reply
London
3 months ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Research Engineer - 5782

Machine Learning Research Engineer - 5490

Principal Machine Learning Performance Kernel Engineer

Principal Machine Learning Performance Kernel Engineer

Graduate AI & Machine Learning Engineer - Reply

AI and Machine LearningEngineer - | London, UK

Requisition ID5728 - Posted - Years of Experience (1)

  • Technology - Where (1) - Job Graduate AI and Machine Learning
    Engineer About Data Reply: DATA REPLY are data specialists,
    offering data platforms, BI, advanced analytics, and AI/Machine
    Learning (ML) solutions to drive business success. We specialize in
    developing, deploying, and operating production data solutions on
    AWS cloud.www.data.reply.comRole overview: As a Graduate AI &
    Machine Learning Engineer, you'll assist our team in designing and
    developing machine learning processes across various client
    environments. Your responsibilities include analyzing client
    requirements, managing the ML lifecycle from data collection and
    model design to deployment and monitoring, and collaborating with
    data scientists and MLOps engineers to implement models into
    production. Data Reply offers extensive training and a clear
    learning path, with opportunities to participate in hackathons,
    code challenges, and lab camps. Working with leading brands
    provides valuable project experience. Responsibilities: 1.
    Collaborate with the Data Science team to automate and govern
    machine learning pipelines. 2. Manage infrastructure and
    orchestration pipelines for training and deploying models. 3.
    Implement solutions to monitor model performance in production. 4.
    Work with cross-disciplinary teams including Data Engineers, Data
    Scientists, MLOps Engineers, and Data Visualization Specialists. 5.
    Engage with domain experts to understand and address complex
    problems. 6. Analyze and communicate client data insights to
    stakeholders. About the candidate: - Minimum 2.1 Bachelor’s degree
    in ICT/Computer Science; a Master’s in Data Science or AI is a
    plus. - Strong communication skills to articulate complex concepts
    effectively. - Solid understanding of computer science fundamentals
    (databases, software engineering, cloud computing especially AWS)
    and data science (machine learning processes). - Proficiency in
    Python and frameworks such as PyTorch, TensorFlow, scikit-learn,
    with some knowledge of LangChain, RAGAS, and CI/CD. - Growth
    mindset and eagerness to learn new challenges. - Willingness to
    travel and adapt to different client projects. Additional
    information: Reply is an Equal Opportunities Employer committed to
    diversity and fair recruitment practices. We welcome applicants
    from all backgrounds and encourage you to specify any reasonable
    adjustments needed during the recruitment process.
    #J-18808-Ljbffr

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.

Top 10 Skills in Artificial Intelligence According to LinkedIn & Indeed Job Postings

Artificial intelligence is no longer a niche field reserved for research labs or tech giants—it has become a cornerstone of business strategy across the UK. From finance and healthcare to manufacturing and retail, employers are rapidly expanding their AI teams and competing for talent. But here’s the challenge: AI is evolving so quickly that the skills in demand today may look different from those of just a few years ago. Whether you’re a graduate looking to enter the industry, a mid-career professional pivoting into AI, or an experienced engineer wanting to stay ahead, it’s essential to know what employers are actually asking for in their job ads. That’s where platforms like LinkedIn and Indeed provide valuable insight. By analysing thousands of job postings across the UK, they reveal the most frequently requested skills and emerging trends. This article distils those findings into the Top 10 AI skills employers are prioritising in 2025—and shows you how to present them effectively on your CV, in interviews, and in your portfolio.

Translucent Careers: Senior Artificial Intelligence Engineer in London

The global landscape of artificial intelligence is evolving rapidly, and nowhere is this transformation felt more strongly than in the financial and accounting industries. AI is no longer just a supporting technology; it is becoming the backbone of innovation, efficiency, and decision-making. One of the most exciting companies at the forefront of this movement is Translucent, a dynamic business redefining how accounting professionals work with AI-driven tools. For professionals seeking to combine technical excellence with meaningful industry impact, Translucent represents a rare career destination. At the heart of their current expansion is an opening for a Senior Artificial Intelligence Engineer in London. This role combines high-level technical leadership, hands-on development, and an opportunity to influence the direction of an emerging force in AI. In this article, we’ll explore: Who Translucent are and why they matter. The significance of AI in financial technology (fintech) and accounting. A deep dive into the Senior AI Engineer role. Skills and requirements needed for success. Career growth and opportunities at Translucent. How artificialintelligencejobs.co.uk helps professionals connect with transformative employers like Translucent.

The Future of Artificial Intelligence Jobs: Careers That Don’t Exist Yet

Artificial Intelligence (AI) has already transformed the global job market. From data scientists and machine learning engineers to AI ethicists and prompt engineers, many roles that seemed futuristic only a decade ago are now mainstream. Yet this is only the beginning. AI is progressing faster than any other technology in history, and the UK is at the forefront of its adoption, with government strategies, academic research, and private investment all accelerating growth. As generative AI, autonomous systems, robotics, and cognitive computing expand, completely new careers will emerge—jobs that don’t yet exist, but which will soon become central to how organisations, societies, and economies function. This article explores what those roles might look like, why they will matter, and how today’s professionals can prepare for careers that are still being invented.