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Recommender Systems developers in the United Kingdom - Stefan O.
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Stefan O.

Vetted Recommender Systems developer in the United Kingdom

Machine Learning Engineer with over 4 years of experience, happy to work in different industries that might make use of AI tools. I am passionate about what I am doing and my career goal is to work on projects that really bring an impact on the world around us.

Recommender Systems developers in the United Kingdom - Maciej B.
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Maciej B.

Vetted Recommender Systems developer in the United Kingdom

I am a software developer with over 12 years of experience, working mostly as Java/Scala back-end, distributed systems engineer. I graduated from Imperial College London in 2012 with First Class honours in Computing. During my studies I acquired an in-depth understanding of Object-Oriented programming, Data Structures, Algorithms and Software Design. For the past 12 years I have worked in the Investment Banking industry atMorgan Stanley as a back-end Java developer developing distributed, highly-scalable systems. I possess an in-depth knowledge of Java programming language and my expertise includes: * Software systems and architecture design * SiteReliability Engineering - building scalable, highly available systems * Multi-threading/concurrency * Performance optimisation * Cloud migration/deployments I have also been recently involved in training of AI models. As part of that role I am responsible for evaluating AI-generated responses to coding/reasoning questions, as well as generating and rating coding conversations with chat-bots in a classroom teaching style.

Recommender Systems developers in the United Kingdom - Sebastian G.
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Sebastian G.

Vetted Recommender Systems developer in the United Kingdom

I am a MSc Computer Science graduate, freelance Software Engineer with experience working on a variety of projects, including at a digital agency. I have commercial experience with software and web development since 2016 and including my hobby and university, almost 15 years of total programming experience. I would like to share my experience by helping you with any practical or academic problem.

Recommender Systems developers in the United Kingdom - Brian P.
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Brian P.

Vetted Recommender Systems developer in the United Kingdom

With a deep expertise in full-stack development, there is a focus on creating high-performance applications, particularly in EdTech, FinTech, and hospitality. Proven experience in JavaScript, ReactJS (NextJS), and TypeScript allows for the development of scalable, user-focused solutions, while backend capabilities include Python and Node.js. Proficiency in cloud services like GCP and AWS enables the deployment of robust applications and data architectures. Collaborative and innovative, enjoys working with cross-functional teams to deliver impactful results in fast-paced environments. Skilled at streamlining processes with CI/CD pipelines and mentoring junior developers to elevate team capabilities. Expertise in building efficient data pipelines, designing user-friendly interfaces, and contributing to strategic product development. Adept at conducting software engineering talks and implementing design systems that improve UI consistency and performance across projects.

Recommender Systems developers in the United Kingdom - Muhammad Z.
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Muhammad Z.

Vetted Recommender Systems developer in the United Kingdom (UTC+1)

As seasoned professional with diverse experience in data, GIS, software development, and leadership across academia, government, international organizations, and the private sector, I excel in project execution, data governance, and team mentorship. I embrace technology and innovation, offer technical guidance, and thrive in high-pressure environments, consistently driving success through excellence and innovative problem-solving.

Recommender Systems developers in the United Kingdom - Alex T.
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Alex T.

Vetted Recommender Systems developer in the United Kingdom (UTC+1)

Data scientist/developer with 15+ years’ experience in the algorithmic hedge fund industry looking to apply cutting edge statistical techniques in ML and AI. Deep background in implementation, deployment and monitoring of statistical learning systems. Motivated and personable candidate with proven ability to work either alone or as part of a larger team.

Recommender Systems developers in the United Kingdom - fernando P.
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fernando P.

Vetted Recommender Systems developer in the United Kingdom (UTC+1)

I am enthusiastic about tech, started using ubuntu in 2006 and starting programming a few months after ( as a hobby not professionally ), so my love for tech far predates my entry in the job market. I've worked in a lot of different types of projects, from native apps to cloud apps, currently I am the CTO of a prop tech company in london.

Recommender Systems developers in the United Kingdom - Mohammed H.
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Mohammed H.

Vetted Recommender Systems developer in the United Kingdom

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Recommender Systems developers in the United Kingdom - Nick P.
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Nick P.

Vetted Recommender Systems developer in the United Kingdom (UTC+1)

I’m a senior back-end developer (Python, Go, DevOps and data pipelines) with broad experience and interests. I focus on, and most enjoy, chances to have a positive impact upon the world. I am familiar with scientific analysis, statistics, and processing sensitive medical image data from my PhD; financial concepts and tools from a small investment fund; the “developer experience” and platform responsibilities of a growing FinTech; and best-practices Python across a huge codebase managing millions of accounts. I particularly enjoy understanding the complete processes of an organisation, and I’m keen to learn new technologies and ways of working, design new systems, and impactfully improve existing ones.

Recommender Systems developers in the United Kingdom - Joe R.
Joe R.

Recommender Systems developer in the United Kingdom

Dedicated and innovative DevOps Engineer with a proven track record in delivering high-quality, secure business solutions through continuous delivery pipelines. Expertise in solution design, integration, and automation, coupled with strong experience in agile environments. Adept at fostering collaboration across diverse teams to enhance operational efficiency and business value.

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Why clients hire Recommender Systems developers with Arc

Without Arc by my side, I would be wasting a lot of time looking for and vetting talent. I'm not having to start a new talent search from scratch. Instead, I’m able to leverage the talent pool that Arc has created.
Mitchum Owen
Mitchum Owen
President of Milo Digital
The process of filling our position took less than a week and they found us a superstar. They've had the flexibility to meet our specific needs every step of the way and their customer service has been top-notch since day one.
Matt Gysel
Matt Gysel
Finance & Strategy at BaseVenture
The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.
Philip Tsai
Philip Tsai
Director of Engineering at Chegg

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FAQs

Why hire a Recommender Systems developer?

In today’s world, most companies have code-based needs that require developers to help build and maintain. For instance, if your business has a website or an app, you’ll need to keep it updated to ensure you continue to provide positive user experiences. At times, you may even need to revamp your website or app. This is where hiring a developer becomes crucial.

Depending on the stage and scale of your product and services, you may need to hire a Recommender Systems developer, multiple engineers, or even a full remote developer team to help keep your business running. If you’re a startup or a company running a website, your product will likely grow out of its original skeletal structure. Hiring full-time remote Recommender Systems developers can help keep your website up-to-date.

How do I hire Recommender Systems developers?

To hire a Recommender Systems developer, you need to go through a hiring process of defining your needs, posting a job description, screening resumes, conducting interviews, testing candidates’ skills, checking references, and making an offer.

Arc offers three services to help you hire Recommender Systems developers effectively and efficiently. Hire full-time Recommender Systems developers from a vetted candidates pool, with new options every two weeks, and pay through prepaid packages or per hire. Alternatively, hire the top 2.3% of expert freelance Recommender Systems developers in 72 hours, with weekly payments.

If you’re not ready to commit to the paid plans, our free job posting service is for you. By posting your job on Arc, you can reach up to 450,000 developers around the world. With that said, the free plan will not give you access to pre-vetted Recommender Systems developers.

Furthermore, we’ve partnered with compliance and payroll platforms Deel and Remote to make paperwork and hiring across borders easier. This way, you can focus on finding the right Recommender Systems developers for your company, and let Arc handle the logistics.

Where do I hire the best remote Recommender Systems developers?

There are two types of platforms you can hire Recommender Systems developers from: general and niche marketplaces. General platforms like Upwork, Fiverr, and Gigster offer a variety of non-vetted talents unlimited to developers. While you can find Recommender Systems developers on general platforms, top tech talents generally avoid general marketplaces in order to escape bidding wars.

If you’re looking to hire the best remote Recommender Systems developers, consider niche platforms like Arc that naturally attract and carefully vet their Recommender Systems developers for hire. This way, you’ll save time and related hiring costs by only interviewing the most suitable remote Recommender Systems developers.

Some factors to consider when you hire Recommender Systems developers include the platform’s specialty, developer’s geographical location, and the service’s customer support. Depending on your hiring budget, you may also want to compare the pricing and fee structure.

Make sure to list out all of the important factors when you compare and decide on which remote developer job board and platform to use to find Recommender Systems developers for hire.

How do I write a Recommender Systems developer job description?

Writing a good Recommender Systems developer job description is crucial in helping you hire Recommender Systems developers that your company needs. A job description’s key elements include a clear job title, a brief company overview, a summary of the role, the required duties and responsibilities, and necessary and preferred experience. To attract top talent, it's also helpful to list other perks and benefits, such as flexible hours and health coverage.

Crafting a compelling job title is critical as it's the first thing that job seekers see. It should offer enough information to grab their attention and include details on the seniority level, type, and area or sub-field of the position.

Your company description should succinctly outline what makes your company unique to compete with other potential employers. The role summary for your remote Recommender Systems developer should be concise and read like an elevator pitch for the position, while the duties and responsibilities should be outlined using bullet points that cover daily activities, tech stacks, tools, and processes used.

For a comprehensive guide on how to write an attractive job description to help you hire Recommender Systems developers, read our Software Engineer Job Description Guide & Templates.

What skills should I look for in a Recommender Systems developer?

The top five technical skills Recommender Systems developers should possess include proficiency in programming languages, understanding data structures and algorithms, experience with databases, familiarity with version control systems, and knowledge of software testing and debugging.

Meanwhile, the top five soft skills are communication, problem-solving, time management, attention to detail, and adaptability. Effective communication is essential for coordinating with clients and team members, while problem-solving skills enable Recommender Systems developers to analyze issues and come up with effective solutions. Time management skills are important to ensure projects are completed on schedule, while attention to detail helps to catch and correct issues before they become bigger problems. Finally, adaptability is crucial for Recommender Systems developers to keep up with evolving technology and requirements.

What kinds of Recommender Systems developers are available for hire through Arc?

You can find a variety of Recommender Systems developers for hire on Arc! At Arc, you can hire on a freelance, full-time, part-time, or contract-to-hire basis. For freelance Recommender Systems developers, Arc matches you with the right senior developer in roughly 72 hours. As for full-time remote Recommender Systems developers for hire, you can expect to make a successful hire in 14 days. To extend a freelance engagement to a full-time hire, a contract-to-hire fee will apply.

In addition to a variety of engagement types, Arc also offers a wide range of developers located in different geographical locations, such as Latin America and Eastern Europe. Depending on your needs, Arc offers a global network of skilled software engineers in various different time zones and countries for you to choose from.

Lastly, our remote-ready Recommender Systems developers for hire are all mid-level and senior-level professionals. They are ready to start coding straight away, anytime, anywhere.

Why is Arc the best choice for hiring Recommender Systems developers?

Arc is trusted by hundreds of startups and tech companies around the world, and we’ve matched thousands of skilled Recommender Systems developers with both freelance and full-time jobs. We’ve successfully helped Silicon Valley startups and larger tech companies like Spotify and Automattic hire Recommender Systems developers.

Every Recommender Systems developer for hire in our network goes through a vetting process to verify their communication abilities, remote work readiness, and technical skills. Additionally, HireAI, our GPT-4-powered AI recruiter, enables you to get instant candidate matches without searching and screening.

Not only can you expect to find the most qualified Recommender Systems developer on Arc, but you can also count on your account manager and the support team to make each hire a success. Enjoy a streamlined hiring experience with Arc, where we provide you with the developer you need, and take care of the logistics so you don’t need to.

How does Arc vet a Recommender Systems developer's skills?

Arc has a rigorous and transparent vetting process for all types of developers. To become a vetted Recommender Systems developer for hire on Arc, developers must pass a profile screening, complete a behavioral interview, and pass a technical interview or pair programming.

While Arc has a strict vetting process for its verified Recommender Systems developers, if you’re using Arc’s free job posting plan, you will only have access to non-vetted developers. If you’re using Arc to hire Recommender Systems developers, you can rest assured that all remote Recommender Systems developers have been thoroughly vetted for the high-caliber communication and technical skills you need in a successful hire.

How long does it take to find Recommender Systems developers on Arc?

Arc pre-screens all of our remote Recommender Systems developers before we present them to you. As such, all the remote Recommender Systems developers you see on your Arc dashboard are interview-ready candidates who make up the top 2% of applicants who pass our technical and communication assessment. You can expect the interview process to happen within days of posting your jobs to 450,000 candidates. You can also expect to hire a freelance Recommender Systems developer in 72 hours, or find a full-time Recommender Systems developer that fits your company’s needs in 14 days.

Here’s a quote from Philip, the Director of Engineering at Chegg:

“The biggest advantage and benefit of working with Arc is the tremendous reduction in time spent sourcing quality candidates. We’re able to identify the talent in a matter of days.”

Find out more about how Arc successfully helped our partners in hiring remote Recommender Systems developers.

How much does a freelance Recommender Systems developer charge per hour?

Depending on the freelance developer job board you use, freelance remote Recommender Systems developers' hourly rates can vary drastically. For instance, if you're looking on general marketplaces like Upwork and Fiverr, you can find Recommender Systems developers for hire at as low as $10 per hour. However, high-quality freelance developers often avoid general freelance platforms like Fiverr to avoid the bidding wars.

When you hire Recommender Systems developers through Arc, they typically charge between $60-100+/hour (USD). To get a better understanding of contract costs, check out our freelance developer rate explorer.

How much does it cost to hire a full time Recommender Systems developer?

According to the U.S. Bureau of Labor Statistics, the medium annual wage for software developers in the U.S. was $120,730 in May 2021. What this amounts to is around $70-100 per hour. Note that this does not include the direct cost of hiring, which totals to about $4000 per new recruit, according to Glassdoor.

Your remote Recommender Systems developer’s annual salary may differ dramatically depending on their years of experience, related technical skills, education, and country of residence. For instance, if the developer is located in Eastern Europe or Latin America, the hourly rate for developers will be around $75-95 per hour.

For more frequently asked questions on hiring Recommender Systems developers, check out our FAQs page.

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