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London has gradually become a global technology hotspot, particularly for AI and Data Science. Companies across various sectors are looking to develop new innovative forms of building solutions.
Thus, it continually demands professional expertise with consistent and all-time highs. Explore the best jobs in London focused on AI and Data Science, their key roles, and necessary skills as well as career prospects.
By the end, you’ll gain a comprehensive understanding of the landscape for Jobs in AI and Data Science in London.
Company: EPAM Systems
Responsibilities:
As a Western Europe Practice Head for Data Science at EPAM Systems, you shall lead the expansion of the Data Science and ML/AI practice across Western Europe.
You shall be collaborating with the Global Data Practice team and European Business leadership in developing competencies in Generative AI, Advanced Analytics, Computer Vision, and NLP.
Your primary focus will be on frameworks around practical AI applications: Data, MLOps, and LLMOps. In addition, you will play a key part in the development of Responsible AI, ESG, and AI Security offerings.
You will help drive enterprise transformation initiatives toward pragmatic productivity enhancement through AI adoption. Lead cross-organizational teams in advocating for an AI-first product vision and work closely with C-level partners to drive delivery of AI products.
Requirements:
Bachelor's, Master's, or PhD in Computer Science, Data Science, or related field or relevant experience
Strong hands-on background in data science and deep technical understanding of AI/ML technologies.
An ideal candidate will have a proven track record in designing and implementing ML/AI-based solutions as a visionary leader. Senior stakeholder management skills and the ability to spearhead C-level client engagements are very important.
Creative thinking in addition to understanding how changes are implemented in a global organization is a must. This requires high-level strategies with robust technical skills.
Company: Cognizant
Responsibilities:
The main duties of the position of Senior Data Scientist - AI Engineer are as follows:
To design and develop next-generation generative AI algorithms in collaboration with the help of ML scientists and engineers to solve a variety of challenges in life.
Intermingle with customers and understand their business problems to assist in implementing generative AI solutions. In addition, develop reusable technical assets that can help hasten adoption and also provide training to enable customers to get a feel for adoption patterns.
Requirements:
Concepts of statistics, machine learning, and deep learning must be demonstrated by the candidates. The candidate must have practical experience using Python frameworks like Scikit-learn, SciPy, and NumPy.
An acquaintance with deep learning libraries such as TensorFlow and Keras. The generative AI projects' skills requirement includes text summarization and chatbot creation in GPT-4, Med-Palm, and LLAMA.
Lead Data Scientist, AI/ML.
Company: Aviva
Responsibilities:
As a Lead Data Scientist at Aviva, you will build production-ready solutions within cross-functional teams to integrate state-of-the-art machine learning into the general insurance business.
You will identify opportunities to apply AI to solve real business problems and share knowledge within the team to foster growth and collaboration.
Requirements:
Candidates were supposed to hold either a degree or a postgraduate degree in a numerical or a programming-intensive degree and preferring in this case their master's to be a Data Science degree.
They must also be able to write clean and maintainable code in Python, Spark, and SQL-like languages. Besides, candidates need to have extensive experienced with Snowflake or Dataiku for MLOps and ETL processes together with a sound knowledge of machine learning frameworks and indicators of model accuracy.
Company: Google DeepMind
Responsibilities:
At Google DeepMind, you will work on novel models for geospatial understanding. This includes developing production-ready systems and running hypothesis tests in an attempt to analyze new opportunities. You will be working within a supportive team focused on sustainability initiatives and user-facing interfaces.
Requirements:
Candidates should have a BSc, MSc, or PhD in computer science, mathematics, applied statistics, machine learning, or a related field. The candidate should have experience working with Python or C++.
Necessary knowledge in machine learning and statistics is required. Experience with ML frameworks such as JAX and a background in ecology or earth science is highly desirable.
Principal/Specialist NLP Scientist
Company: Woman in Data
Responsibilities:
As a Principal/Specialist NLP Scientist, you shall develop relationship extraction, summarization, and natural language inference tools.
You would train models on language understanding tasks using neural networks and evaluate the performance of these models. Your job will also involve coordination with other NLP scientists and support for scientific intelligence initiatives.
Requirements:
A candidate should be well experienced in the industry, compared to pharma and biotech sectors, and be familiar with the NLP and machine learning technologies as well as the detailed information on deep learning methods in NLP with a concrete example of NLP solutions built on the large text datasets.
