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

Nominate & Attend

Senior AI Engineer

RBW Consulting LLP
London
1 year ago
Applications closed

Related Jobs

View all jobs

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

Senior Machine Learning Engineer

​My client, a prominent and acclaimed organization in the life science field, is presently seeking an adept Senior AI Engineer to join their team. In this role, you'll be an integral part of a dynamic team, contributing significantly to the design, implementation, and testing of state-of-the-art Machine Learning frameworks. You'll engage in rapid iterative prototyping, collaborating closely with experts in computer vision, machine learning, platform engineering, and research.

Responsibilities:

· Design, develop, and deploy tailored AI models for specific project needs, encompassing techniques such as NLP, Computer Vision, Speech & Conversational AI.

· Demonstrate a proficient understanding of Document AI development processes, models, and applications.

· Possess a solid grasp of LLMs with hands-on experience in Generative AI Models & their applications being a plus.

· Deliver and maintain end-to-end Machine Learning solutions in production, from data preparation to model update, utilizing MLOps methodologies.

· Collaborate with data scientists, ML engineers, and stakeholders to transition prototypes into production.

· Optimize algorithms to enhance performance and functionality.

· Integrate AI solutions into cloud platforms like AWS, Azure, or GCP.

· Stay abreast of the latest AI, LLMs, MLOps, and machine learning trends and best practices.

· Ensure the robustness, scalability, and reliability of AI solutions.

· Implement CI/CD pipelines using Azure DevOps/TFS.

· Provide technical leadership and mentorship in AI to team members.

· Work closely with cross-functional teams to integrate AI solutions into products and services.

Requirements:

· Minimum of 6+ years of experience in AI & ML.

· Expertise in biology, chemistry, engineering, data science, or machine learning.

· Proven experience in AI, ML, MLOps, Text Analytics, and Generative AI.

· Proficiency in programming languages like Python.

· Experience with machine learning frameworks such as TensorFlow, PyTorch, Keras, or Scikit-learn.

· Hands-on experience with cloud platforms such as AWS, Azure, or GCP.

· Familiarity with Machine Learning and Neural Network architectures like Ensemble Models, SVM, CNN, RNN, Transformers, etc.

· Proficiency in Natural Language Processing (NLP) tools like NLTK, Spacy, and Gensim.

· Familiarity with MLOps tools such as Kubeflow, MLflow, or Azure ML.

· Experience with SQL and NoSQL databases like MongoDB, Postgres, Neo4j, etc.

· Proficiency in RestAPI python frameworks such as Fast API/Flask/Django.

· Excellent problem-solving skills and a collaborative mindset.

· Strong communication skills to collaborate effectively with diverse teams.

· Ideally a Master's or PhD in Statistics, Mathematics, Computer Science, or another quantitative field.

· Knowledge and experience in statistical and data mining techniques such as GLM/Regression, Random Forest, Boosting, Trees, text mining, social network analysis, etc.

· Experience in creating and utilizing advanced machine learning algorithms and statistics, including regression, simulation, scenario analysis, modelling, clustering, decision trees, neural networks, etc.

· Experience in querying databases and using statistical computer languages like R, Python, etc.

· Published research or contributions to open-source AI/ML projects.

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.

AI Jobs Salary Calculator 2025: Work Out Your Market Value in Seconds

Why your 2024 salary data is already outdated “Am I being paid what I’m worth?” It is the question that creeps in whenever you update your CV, see a former colleague announce a punchy pay rise on LinkedIn, or notice a recruiter slide into your inbox with a role that looks eerily similar to your current one—only advertised at £20k more. Artificial intelligence moves faster than any other hiring market. New frameworks are open‑sourced overnight, venture capital floods specific niches without warning, & entire job titles—Prompt Engineer, LLM Ops Specialist—appear in the time it takes most industries to schedule a meeting. In that environment, salary guides published only a year ago already look like historical curiosities. To give AI professionals an up‑to‑the‑minute benchmark, ArtificialIntelligenceJobs.co.uk has built a simple yet powerful salary‑calculation formula. By combining three variables—role, UK region, & seniority—you can estimate a realistic 2025 salary band in less than a minute. This article explains that formula, unpacks the latest trends driving pay, & offers concrete steps to boost your personal market value over the next 90 days.

How to Present AI Models to Non-Technical Audiences: A Public Speaking Guide for Job Seekers

In today’s competitive job market, AI professionals are expected to do more than just build brilliant algorithms—they must also explain them clearly to stakeholders who may have no technical background. Whether you're applying for a role as a machine learning engineer, data scientist, or AI consultant, your ability to articulate complex models in simple terms is fast becoming one of the most valued soft skills in interviews and on the job. This guide will help you master the art of public speaking for AI roles, offering tips on structuring presentations, designing effective slides, and using storytelling to make your work resonate with any audience.

AI Jobs UK 2025: 50 Companies Hiring Now

Bookmark this guide – we refresh it every quarter so you always know who’s really scaling their artificial‑intelligence teams. Artificial intelligence hiring has roared back in 2025. The UK’s boosted National AI Strategy funding, record‑breaking private investment (£18.1 billion so far) & a fresh wave of generative‑AI product launches mean employers are jockeying for data scientists, ML engineers, MLOps specialists, AI product managers, prompt engineers & applied researchers. Below are 50 organisations that have advertised UK‑based AI vacancies in the past eight weeks or formally announced growth plans. They’re grouped into five easy‑scan categories so you can jump straight to the kind of employer – & culture – that suits you. For each company you’ll find: Main UK hub Example live or recent vacancy Why it’s worth a look (tech stack, culture, mission) Use the internal links to browse current vacancies on ArtificialIntelligenceJobs.co.uk – or set up a free job alert so fresh roles land in your inbox.