AI Engineer

We are creating technology platforms to shape the future of knowledge!

Taylor & Francis (part of Informa, a FTSE company) is one of the world’s largest publishers of high-quality, peer reviewed scholarly journals, books, e-books and reference works. We empower learners, thinkers and doers with trusted knowledge that advances research and enriches lives. We bring together diverse people, ideas and opinions to validate and publish the experts, theories and truths that matter. And we’ve been doing this in an unbroken arc since 1798.

As part of Taylor & Francis’s digital first strategy, we have been driving growth through providing access to publications through digital platforms and providing a unified experience across the body of content. We have created digital platforms to facilitate discovery and to allow users to access relevant research and information quickly and easily, wherever they are.

Taylor & Francis is building the world's leading platform connecting the network of human knowledge. We are passionate about helping researchers achieve their goals, which in turn adds new nodes to the ever-expanding graph of research information. We believe that researchers are our number one priority, so we work hard to deliver value back to them with everything we do.

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 (e.g., 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.

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 (e.g., 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:

(1) Knowledge Graphs, Graph DBs (neo4j, AWS Neptune), Graph AI (e.g., PyKEEN, neo4j DS, etc.)

(2) AI-based data deduplication, conditional merging, entity disambiguation and linking

(3) AWS MLOps (SageMaker, S3, ECS, ECR, Lambda)

(4) Data engineering and big data (e.g., Airflow, Hadoop, Spark, ElasticSearch, Mongo DB, etc.)

(5) LLM fine-tuning (e.g., 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.

Taylor & Francis is proud to be an Equal Opportunity Employer. We believe in and value diversity of people and thought, fostering a supportive and inclusive environment where all colleagues can learn and succeed as their true selves. Taylor & Francis recruits, develops, and retains colleagues without regard to any protected personal characteristics or other non-merit based factor.

We genuinely care about our colleagues, promoting work-life balance, wellbeing, and flexible working. We believe that the skills and experience you bring to Taylor & Francis are invaluable. We want you to have the opportunity to develop your abilities, and to innovate and develop in areas which you are passionate about. To find out more about our business and the great career opportunities please go to our Careers Site:http://www.taylorandfrancisgroup.com/careers

Or better yet check out our LinkedIn ‘Life’ Page, highlighting our accomplishments, employees, and company culture. It’s also a good way of meeting our recruitment team, who will be happy to advise you on your journey here at T&F.

https://www.linkedin.com/company/taylor-&-francis-group/life/79e0c27c-afdf-4bbb-84e6-5f8ed5e10bb8/

Taylor & Francis Group an Informa Business

We know that sometimes the 'perfect candidate' doesn't exist, and that people can be put off applying for a job if they don't fit all the requirements. If you're excited about working for us and have most of the skills or experience we're looking for, please go ahead and apply. You could be just what we need! We believe strongly in the value of diversity and creating supportive, inclusive environments where our colleagues can succeed. As such, Informa is proud to be an Equal Opportunity Employer. We do not discriminate on the basis of race, colour, ancestry, national origin, religion, or religious creed, mental or physical disability, medical condition, genetic information, sex (including pregnancy, childbirth, and related medical conditions), sexual orientation, gender identity, gender expression, age, marital status, citizenship, or other protected characteristics under local law. This role may also be available on a flexible working or part time basis – please ask the Talent Acquisition team for more information.

To find out more about our business and the great career opportunities please go to our Careers Site:https://taylorandfrancis.com/careers/