AI Engineer

Job Description

Are you an AI Engineer, Data Engineer, or Data Scientist versed at rapid prototyping innovative products based on data and Artificial Intelligence? Do you thrive in dynamic, uncertain, rapid-changing projects? Are you experienced in developing demonstrators and proofs of concept, and driving new solutions to the market quickly?

If so, consider joining our Technical Innovation team as an AI Engineer!

Academic research continues to grow at exponential rates. Our challenge: Provide innovative products and services that enable the creation and consumption of that knowledge more quickly and effectively. We offer access to specialist content data, in the form of academic texts, graphs, and images. As an AI Engineer in our team, your role will be to incubate new data and AI initiatives, explore the art of the possible, stay on top of the very dynamic technology evolutions in AI models, build proofs of concept, and improve value for scholarly knowledge creators.

Our focus is Natural Language Processing, Large Language Models, Knowledge Graphs, and Multi-Modal Generative AI.

Key Accountabilities

Rapid prototyping (Python, NLP, NNs, DBs) of new data/AI initiatives in a cross-functional team. Evaluate and report on the feasibility of new data/AI products or workflow improvements. Collect, organise, cleanse, and prepare data for experiments. Setup demos and MVPs with a full-stack ML/data approach (, AWS, DVC, Streamlit). Develop robust evaluation environments and test datasets to monitor AI system performance. Own the AI development at UAT engineering standards for advanced prototypes. Interact with stakeholders from across the company or customers to collect requirements. Work with uncertain, ambiguous, and evolving requirements, and help refine them iteratively. Document, visualise, and report to stakeholders the results of data-driven investigations. Evaluate, leverage and integrate third-party solutions as part of an overall software solution.

Qualifications

In order to be successful in this role you will:

have a proven history of learning and adopting new technology quickly be able to demonstrate hands-on experience in rapid-prototyping and applied R&D in Artificial Intelligence – 3+ years for a junior position and 7+ years for a senior position. have the following technical skills: Python, AI/DS/NLP libraries (, pandas, numpy, spacy, nltk, sklearn, pytorch, transformers, etc.), Github, DVC, Docker, Prompt Engineering, AWS. have a high level of autonomy whilst also being a great team player, explorative skills (lean, need discovery), agile development (Jira, Scrumban), the ability to work with highly ambiguous and evolving requirements be comfortable interacting with cross-functional teams (including globally) have a critical thinking and problem solving mindset be a productive and efficient remote worker be results oriented and a doer. ideally have proven knowledge in one or more of the following areas: Knowledge Graphs, Graph DBs (neo4j, AWS Neptune), Graph AI (, PyKEEN, neo4j DS, etc.) AI-based data deduplication, conditional merging, entity disambiguation and linking AWS MLOps (SageMaker, S3, ECS, ECR, Lambda) Data engineering and big data (, Airflow, Hadoop, Spark, ElasticSearch, Mongo DB, etc.) LLM fine-tuning (, LoRA, DoRA), LLM pre-training, data cleansing/selection for such tasks

Additional Information

Please note:You must have the right to work in the UK to be considered for this role.

Location: This role is offered on a truly balanced working/hybrid model with the successful candidate using our London Blackfriars location as their office hub. We ask that you are able to commute into the office up to once a week, with the rest of your time working from home.

Closing Date: Applications will close on 6th September 2024 - but please note that applications are shortlisted on a rolling basis, and we will be interviewing alongside advertising, so we encourage you to apply at the earliest opportunity. 

What we offer in return: 

A salary of between £60,000 and £80,000 depending on level of experience (+ 10% bonus) An excellent work/life balance with a fantastic, flexible working culture 25 days annual leave per year plus a day off for your birthday  3 additional discretionary days off during the holiday season at the end of the year  4 paid volunteering days each year  Company funded single cover private medical insurance Employee assistance programme – offering 24/7 well-being support  Share Match – Plan that matches every share purchased with two free shares.  Pension scheme  Life assurance, plus optical and medical care

Being Yourself at Taylor & Francis 

If you’re excited about working with Taylor & Francis to foster human progress through knowledge, we invite you to apply even if your existing skills and experience don’t fit every item listed above. At Taylor & Francis, we are at our best and most successful when colleagues can be themselves and make a contribution regardless of their identity or background. As a colleague, you will have the opportunity to further innovate and develop in areas that you are passionate about. Our goal is to empower you with the resources, incentives, and flexibility you need to enjoy success at work and to live a healthy, balanced life.