Machine Learning Engineer - fintech

London
£70000 - £80000 per annum + benefits + bonus

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Machine Learning Engineer

London

£70,000-£80,000

We're looking for a Machine Learning Engineer with strong and varied machine learning experience to join a collaborative and inventive team. As a Machine Learning Engineer, in this team, you would be initiating experimental approaches to solving big business problems, creating high value and higher impact for the company. This team is encouraged to push the current R&D possibilities as far as they will go and provided with the newest technology to do so.

THE COMPANY:

This global travel company are looking for a top talent Machine Learning Engineer to use experimental, cutting-edge techniques and state-of-the-art tools to tackle challenging, business-focused problems with big data. This company has a clear vision and business plan, using data-driven approaches for every business decision, big or small. You would also be receiving excellent training and learning opportunities, as you would be reporting directly to one of the leaders in this field.

THE ROLE:

As a Machine Learning Engineer, you will be creating data solutions utilising advanced statistics, cutting-edge machine learning and even front-line deep learning techniques.

  • Applying cutting-edge machine learning, deep learning, NLP and computer vision techniques to pioneer solutions to the most challenging business problems
  • Providing internal consultancy across all business areas, collaborating with all other teams and creating tailored automated machine learning solutions to problems faced
  • Experimenting with brand new tools and technologies to innovate and therefore outcompete their competitors
  • Current projects include using big data to develop recommender systems in real-time, using Spark

YOUR SKILLS AND EXPERIENCE:

  • Extensive knowledge and use of Python and/or R
  • Proven strong and varied commercial experience in building machine learning solutions in Python
  • The successful Senior R&D Data Scientist will have industrial experience working with big data to solve business problems to scale
  • The ideal candidate will have experience in effectively presenting academic and experimental ideas
  • Knowledge and/or experience using and applying Hadoop/Spark and AWS to big data
  • Preferably a PhD in machine learning or another related subject

THE BENEFITS:

  • £70,000-£80,000 base salary
  • Travel allowance
  • Bonus

HOW TO APPLY:

Please register your interest by sending your CV to Kian Dixon via the Apply link on this page. For more information about similar roles, please get in touch!

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311182/KD
London
£70000 - £80000 per annum + benefits + bonus

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Harnham blog & news

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Visit our Blogs & News portal or check out our recent posts below.

MeasureCamp Paris 2019

A few weeks ago, I was lucky enough to attend the sixth annual MeasureCamp Paris. It was Harnham's second time sponsoring the event and is always an amazing opportunity for us to get face to face with Digital Analysts not only from France, but all over Europe. Once again, the place was filled with industry-leading minds, all of whom were passionate about sharing their knowledge and the day-to-day challenges they face. As you'd expect, it was a pleasure to have the chance to see some familiar faces and get to talk with a variety of professionals about the market and share our thoughts. Their insights were unbelievably valuable. Fortunately, we were able to give them a sneak peek of our new 2019 Salary Guide and discuss our findings alongside some general market trends.   One particularly interesting point of discussion surrounded how double the amount of professionals are using the Google stack of tools compared the to the Adobe equivalent. Many commented on what they see as a lack of training and investment within their company in other Analytics tools (e.g Adobe) or CRO tools (e.g. AB Tasty, Optimizely, even Kameleoon) compared to UK and Nordic enterprises. Outside of this, there were a number of discussions on how the Digital Analytics space is evolving, especially on the impact that diversified Web Analytics roles are having on the industry, and how secure professionals feel in their positions as a result of this. With many commenting that a lack of career progression is making them feel unsure of their current role, it may explain why our Salary Survey found that 80% of the Data & Analytics professional are open to potentially leaving for the right opportunity.  This year's MeasureCamp Paris was both bigger and better. It's clear that Digital Analysts remain incredibly thirsty for new ideas and ways to upskill and so it's no surprise, particularly from what we saw on the day, that the market and talent pool are stronger than ever.  If you'd like to discuss any of the trends I've mentioned above, or are looking for a new opportunity, do not hesitate to get in touch with me here. 

HOW BRANDS USE DATA TO CREATE SUCCESSFUL CAMPAIGNS

Make no mistake: making minor adjustments to an ad or campaign that’s meant to appeal to the masses just won’t cut it. Customers crave creativity. They want to be understood. Which is why people respond best to brands that do their homework, doing their research into what appeals to different groups. How should businesses appeal to their chosen segments, then, considering how diverse people are? Data, of course. Why Data? For one thing, it drives results and creates improved outcomes. Data also helps to prove the value of marketing, providing a bargaining chip for future budget discussions. And, most rewarding of all, brands get valuable insights into their target market. Which, in turn, leads to more well-targeted, profitable campaigns.  And if you think Data doesn’t belong in the world of creative campaigns, think again. As OpenJaw Technologies Chief Marketing Officer Colin Lewis argues: “Creativity is not just compatible with being Data-driven – Data can drive better creative.” Psychological profiling Strategic communications consultancy, Verbalisation, researches and analyses language to form valuable insights. Using its Rapid Audience Insights Diagnostic system, the company’s team of psychologists and researchers work out how an audience thinks. They also learn the actual words an audience uses, which they then use as the basis of a marketing strategy.  Based on their unique research and insights, Verbalisation has created several successful campaigns for high-profile brands. These include the #NotAnotherBrother campaign for counter-terrorism organisation Quilliam, which looked at the motivations of jihadists.  The campaign is now used by the UN and schools across the UK, as well as the US Department of Defense. It is the most viewed counter-extremism campaign of all time, with more than half a billion global media impressions.  Location, location, location Out-of-home (OOH) advertising. Yes, it goes way back, but it’s actually the only traditional advertising channel posting rapid growth. In fact, thanks to mobile-location Data, brands can target audiences quicker and with a greater chance of success than ever before.  Great news for JCDecaux (JCD), a leading OOH company with ads reaching 410 million people in over 4,000 cities. JCD now works with location Data to define and segment audiences. Doing so helps it decide where to place media, improve campaigns and measure resulting store footfall and purchases.  Knowledge, so they say, is power. Particularly when that involves knowing the whereabouts of the most coveted customers. Newly teamed up with identity resolution company, Neustar, JCD’s insights look stronger than ever. JCD can now understand which of its locations rank higher for any brand’s most desired audiences. All thanks to location Data and real-time behaviour analysis.  Personalised employee training Data doesn’t just boost the results of B2C brands; it can also be a vital shot in the arm for internal security training campaigns. Training provider, CybeReady, for instance, uses a Data science-driven approach to deliver cyber awareness training with a difference: its anti-phishing platform helps security teams quickly roll out and tailor campaigns to individual employees. In big companies, getting employees up to speed is especially challenging. With many locations, languages and time zones to contend with, Information Security teams have their work cut out.  CybeReady eliminates these challenges by delivering 12 personalised, 60-second simulations to each employee. In their first language, every year. What’s more, the training provider uses machine learning to analyse performance on a daily basis. This enables it to provide the most appropriate simulations to each individual. The result? IT teams save 160 hours each month and employee resilience increases five-fold. There’s no limit to what Data can do. If you’re a fan, we may have a role for you. Take a look at our latest opportunities or get in touch with our expert consultants.  

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